CN115825782B - Capacity calculation method and device for power battery - Google Patents

Abstract

The application discloses a method and a device for calculating the capacity of a power battery, which relate to the technical field of power batteries and mainly aim at improving the accuracy of the calculation of the capacity of the power battery; the main technical scheme includes that a plurality of pieces of charging condition data of a target power battery are obtained; according to each piece of charging working condition data in the plurality of pieces of charging working condition data, at least two battery capacity determining methods are adopted respectively, and battery capacity corresponding to each battery capacity determining method in the at least two battery capacity determining methods is obtained; obtaining target data according to the battery capacity corresponding to each of the at least two battery capacity determining methods; and calculating the battery capacity of the target power battery corresponding to a target time point based on the target data, wherein the target time point is any time point of the target power battery in a full life cycle.

Description

A method and device for calculating the capacity of a power battery

Technical field

The present application relates to the technical field of power batteries, and in particular, to a capacity calculation method and device for a power battery.

Background technique

With the rapid development of the new energy industry, new energy vehicles have become one of the main means of transportation for people to travel. New energy vehicles mainly use power batteries as their power source, so the capacity of the power battery directly affects the vehicle's cruising range and performance. During the use of a power battery, the capacity of the power battery will decrease as the power battery cycles through charge and discharge. In order to prevent the cruising range and performance of new energy vehicles from being affected by the capacity of the power battery, the capacity of the power battery needs to be calculated, and the calculated capacity is used to determine whether to replace the power battery.

At present, the capacity calculation of power batteries mainly relies on neural network models. The neural network model is trained through a large number of charging condition data samples. Then the charging condition data samples used to train the neural network model are prone to distortion, resulting in low accuracy in calculating the capacity of the power battery by the neural network model.

Contents of the invention

In view of the above problems, this application proposes a power battery capacity calculation method and device, with the main purpose of improving the accuracy of power battery capacity calculation.

In the first aspect, this application provides a method for calculating the capacity of a power battery, which method includes:

Obtain multiple charging condition data of the target power battery;

According to each piece of charging working condition data in the plurality of charging working condition data, at least two battery capacity determination methods are respectively used to obtain the battery capacity corresponding to each battery capacity determination method in the at least two battery capacity determining methods;

Obtain target data according to the battery capacity corresponding to each of the at least two battery capacity determination methods;

Based on the target data, calculate the battery capacity corresponding to the target power battery at a target time point, where the target time point is any time point in the entire life cycle of the target power battery.

The capacity calculation method of the power battery provided by the embodiment of the present application first obtains multiple charging condition data of the target power battery when it is necessary to calculate the capacity of the target power battery. Then, according to each of the multiple charging condition data, two or more battery capacity determination methods are used to obtain the battery capacity corresponding to each battery capacity determination method. And obtain target data based on the battery capacity corresponding to various battery capacity determination methods. Finally, based on the target data, the battery capacity corresponding to the target power battery at the target time point is calculated. It can be seen that the capacity of the target power battery decays with its charge and discharge cycle. Therefore, the battery capacity corresponding to the power battery at the target time point calculated in the solution provided by the embodiment of this application is the battery capacity of the target power battery after decay. . When calculating the battery capacity corresponding to the target time point, two or more battery capacity determination methods are combined. It can combine the advantages of various battery capacity determination methods while getting rid of the limitations and deviations of various battery capacity determination methods, so that the calculated battery capacity is closer to the real power capacity of the target power battery. Therefore, the embodiment of the present application can Improve the accuracy of power battery capacity calculation.

In some embodiments, at least two battery capacity determination methods are respectively used according to each piece of charging status data in the plurality of charging status data to obtain each battery capacity determination method in the at least two battery capacity determination methods. The battery capacity corresponding to the method includes:

Using a battery capacity determination method based on the phase change characteristic points of the anode of the power battery to determine the battery capacity of each of the charging conditions data, and obtain the first battery capacity corresponding to each of the charging conditions data;

The battery capacity determination method based on the state of charge of the power battery is used to determine the battery capacity of each piece of the charging condition data, and the second battery capacity corresponding to each piece of the charging condition data is obtained.

In some embodiments, a battery capacity determination method based on the phase change characteristic points of the anode of the power battery is used to determine the battery capacity of each piece of the charging condition data, and obtain the first battery corresponding to each piece of the charging condition data. Capacity, including:

For each piece of charging condition data, execute:

Based on the charging voltage of the target power battery in the charging condition data, determine the first target time point corresponding to the anode phase change characteristic point of the target power battery;

Determine a specific first target battery capacity at the end of charging of the target power battery based on the first target time point;

Compensation processing is performed on the first target battery capacity to obtain the first battery capacity corresponding to the charging condition data.

In some embodiments, based on the charging voltage of the target power battery in the charging condition data, determining the first target time point corresponding to the anode phase change characteristic point of the target power battery includes:

Determine a plurality of target charging voltages in the charging condition data, wherein the charging voltage includes a starting voltage, a first target voltage, and at least one charging voltage between the starting voltage and the first target voltage. , wherein the starting voltage is the initial voltage when charging the first target battery, and the first target voltage is the voltage of the first target battery in the target power battery when charging of the target power battery is completed. , the voltage of the first target cell is the smallest among all cells of the target power battery;

Based on the plurality of target charging voltages, generate a differential curve between the target charging voltage and time;

Select a target local highest point from all local highest points of the differential curve, wherein the peak width of the target local highest point is the widest among all local highest points;

The time point corresponding to the target local highest point is determined as the first target time point.

In some embodiments, determining a specific first target battery capacity at the end of charging of the target power battery based on the first target time point includes:

Obtain the first capacity corresponding to the anode phase change characteristic point of the target power battery;

Determine the second capacity charged by the target power battery between the first target time point and the second target time point, and the second target time point is the time point when the target power battery ends charging;

The sum of the first capacity and the second capacity is determined as the first target battery capacity.

In some embodiments, determining the second capacity charged by the target power battery between the first target time point and the second target time point includes:

The second capacity is obtained by performing ampere-hour integration calculation on the current value between the first target time point and the second target time point in the charging condition data.

In some embodiments, compensation processing is performed on the first target battery capacity to obtain the first battery capacity corresponding to the charging condition data, including:

At least one compensation process is performed based on the charging condition data to obtain at least one corresponding battery capacity compensation value, wherein the at least one compensation process includes at least one of current compensation process, temperature compensation process and full charge compensation process. A sort of;

The first target battery capacity is compensated by the at least one battery capacity compensation value to obtain the first battery capacity.

In some embodiments, the first target battery capacity is obtained by compensating the first target battery capacity through the at least one battery capacity compensation value, including:

The sum of the at least one battery capacity compensation value and the first target battery capacity is determined as the first battery capacity.

In some embodiments, a battery capacity determination method based on the state of charge of the power battery is used to determine the battery capacity of each piece of the charging condition data, and obtain the second battery capacity corresponding to each piece of the charging condition data, include:

For each piece of charging condition data, execute:

Determine the second target battery capacity to be charged after the target power battery is discharged to the target state of charge based on the charging condition data;

Obtain a fourth target battery capacity based on the second target battery capacity and the third target battery capacity corresponding to the target state of charge;

Compensation processing is performed on the fourth target battery capacity to obtain the second battery capacity corresponding to the charging condition data.

In some embodiments, determining the second target battery capacity to be charged after the target power battery is discharged to the target state of charge based on the charging condition data includes:

Determine a third target time point when charging of the target power battery starts and a fourth target time point when charging of the target power battery ends, wherein the state of charge of the target power battery when charging starts is the target state of charge;

The second target battery capacity is obtained by performing ampere-hour integration calculation on the current value between the third target time point and the fourth target time point in the charging condition data.

In some embodiments, a fourth target battery capacity is obtained based on the second target battery capacity and the third target battery capacity corresponding to the target state of charge, including:

Based on the voltage value corresponding to the preset state of charge, query the voltage and electric capacity curve of the target power battery, and determine the electric capacity value corresponding to the voltage value as the third target battery capacity;

The sum of the second target battery capacity and the third target battery capacity is determined as the fourth target battery capacity.

In some embodiments, compensation processing is performed on the fourth target battery capacity to obtain the second battery capacity corresponding to the charging condition data, including:

Perform at least one compensation process based on the charging condition data to obtain at least one corresponding battery capacity compensation value, wherein the at least one compensation process includes at least one of temperature compensation process and full charge compensation process;

The fourth target battery capacity is compensated by the at least one battery capacity compensation value to obtain the second battery capacity.

In some embodiments, the fourth target battery capacity is compensated by the at least one battery capacity compensation value to obtain the second battery capacity, including:

The sum of the at least one battery capacity compensation value and the fourth target battery capacity is determined as the second battery capacity.

In some embodiments, current compensation processing is performed based on the charging condition data to obtain the first battery capacity compensation value corresponding to the current compensation processing, including:

Based on the first current value corresponding to the first target time point in the charging condition data, the first battery capacity compensation value corresponding to the current compensation process is obtained.

In some embodiments, based on the current value corresponding to the target time point in the charging condition data, the first battery capacity compensation value corresponding to the current compensation process is obtained, including:

The first battery capacity compensation value is obtained through the following formula:

C _{current compensation} = C _C × (Curr _peak -Curr _offset )

Wherein, C _{current compensation} is the first battery capacity compensation value, Curr _peak is the current value corresponding to the first target time point, C _C is the preset current compensation coefficient, and Curr _offset is the preset current calibration value.

In some embodiments, a temperature compensation process is performed based on the charging condition data to obtain a second battery capacity compensation value corresponding to the temperature compensation process, including:

Based on the target temperature in the charging condition data, a second battery capacity compensation value corresponding to the temperature compensation process is obtained, wherein the target temperature is the temperature in the target power battery when charging in the target power battery is completed. The temperature of the second target battery cell, wherein the temperature of the second target battery cell is the highest among all the battery cells of the target power battery.

In some embodiments, based on the first target temperature in the charging condition data, obtaining the second battery capacity compensation value corresponding to the temperature compensation process includes:

The second battery capacity compensation value is obtained through the following formula:

C _{temperature compensation} = C _t × (Temp _curr -T′)

Wherein, C _{temperature compensation} is the second battery capacity compensation value, Temp _curr is the target temperature, T′ is a preset temperature calibration value, and C _t is a preset temperature compensation coefficient.

In some embodiments, a full charge compensation process is performed based on the charging condition data to obtain a third battery capacity compensation value corresponding to the full charge compensation process, including:

Based on the second target voltage in the charging condition data, a third battery capacity compensation value corresponding to the full charge compensation process is obtained, where the second target voltage is the value when charging in the target power battery is completed. The voltage of the third target battery cell in the target power battery, wherein the voltage of the third target battery cell is the highest among all the battery cells of the target power battery.

In some embodiments, based on the target voltage in the charging condition data, the third battery capacity compensation value corresponding to the full charge compensation process is obtained, including:

The third battery capacity compensation value is obtained through the following formula:

C _{full charge compensation} = C _f × (Volt _end -Volt _n )

Wherein, C _{full charge compensation} is the third battery capacity compensation value, Volt _end is the second target voltage, Volt _n is the preset full charge calibration value, and C _f1 is the preset full charge compensation coefficient.

In some embodiments, target data is obtained based on the battery capacity corresponding to each of the at least two battery capacity determination methods, including:

For each of the first battery capacities, the following steps are performed: extracting the target second battery capacity occurring in a preset time period from each of the second battery capacities; determining the first battery capacity and each of the target second battery capacities respectively. The difference between the two battery capacities; determine the average of all differences; determine the first battery capacity and the average as the deviation battery capacity;

Perform linear fitting on the deviation battery capacities of all first battery capacities and the time when each first battery capacity occurs;

The slope obtained by linear fitting is determined as the target data.

In some embodiments, based on the target data, calculating the battery capacity corresponding to the target power battery at the target time point includes:

Determine a target duration between the target time point and an initial time point, where the initial time point is the time point when the target power battery is first put into use;

Based on the slope, the initial capacity of the second battery power battery, and the target duration, a battery capacity of the target power battery for the target duration is determined.

In some embodiments, determining the battery capacity of the target power battery under the target duration based on the slope, the initial capacity of the second battery power battery, and the target duration includes:

The battery capacity of the target power battery under the target duration is determined by the following formula:

Cap _predict =k×t+C′

Wherein, the Cap _predict is the battery capacity of the target power battery under the target duration, k is the slope, t is the target duration, and C′ is the initial capacity of the second battery power battery.

In a second aspect, this application provides a capacity calculation device for a power battery, which device includes:

The acquisition unit is used to acquire multiple charging condition data of the target power battery;

The first determination unit is configured to use at least two battery capacity determination methods according to each piece of charging status data in the plurality of charging status data to obtain each battery capacity in the at least two battery capacity determination methods. Determine the battery capacity corresponding to the method;

a second determination unit configured to obtain target data based on the battery capacity corresponding to each of the at least two battery capacity determination methods;

A calculation unit configured to calculate the battery capacity corresponding to the target power battery at a target time point based on the target data, where the target time point is any time point in the entire life cycle of the target power battery.

In a third aspect, the present application provides a controller, the controller including a processor and a machine-readable storage medium, the machine-readable storage medium storing machine-executable instructions that can be executed by the processor, The instructions are loaded and executed by the processor to implement the power battery capacity calculation method described in any one of the first aspects.

In a third aspect, this application provides a vehicle machine, which includes: the controller described in the third aspect.

In a fourth aspect, this application provides a vehicle, which includes: the vehicle machine described in the fourth aspect.

The above description is only an overview of the technical solutions of the present application. In order to have a clearer understanding of the technical means of the present application, they can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and understandable. , the specific implementation methods of the present application are specifically listed below.

Description of the drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be construed as limiting the application. Also, the same parts are represented by the same reference numerals throughout the drawings. In the attached picture:

Figure 1 shows a flow chart of a power battery capacity calculation method provided by an embodiment of the present application;

Figure 2 shows a schematic diagram of the relationship between target charging voltage and time provided by an embodiment of the present application;

Figure 3 shows a schematic diagram of a differential curve between target charging voltage and time provided by an embodiment of the present application;

Figure 4 shows a schematic structural diagram of a power battery capacity calculation device provided by an embodiment of the present application;

FIG. 5 shows a schematic structural diagram of a power battery capacity calculation device provided by another embodiment of the present application.

Detailed ways

The embodiments of the technical solution of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only used to illustrate the technical solution of the present application more clearly, and are therefore only used as examples and cannot be used to limit the protection scope of the present application.

Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the technical field belonging to this application; the terms used herein are for the purpose of describing specific embodiments only and are not intended to be used in Limitation of this application; the terms "including" and "having" and any variations thereof in the description and claims of this application and the above description of the drawings are intended to cover non-exclusive inclusion.

In the description of the embodiments of this application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying the relative importance or implicitly indicating the quantity or specificity of the indicated technical features. Sequence or priority relationship. In the description of the embodiments of this application, "plurality" means two or more, unless otherwise explicitly and specifically limited.

Reference herein to "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art understand, both explicitly and implicitly, that the embodiments described herein may be combined with other embodiments.

In the description of the embodiments of this application, the term "and/or" is only an association relationship describing associated objects, indicating that there can be three relationships, such as A and/or B, which can mean: A exists alone, and A exists simultaneously and B, there are three cases of B alone. In addition, the character "/" in this article generally indicates that the related objects are an "or" relationship.

In the description of the embodiments of this application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to two or more groups (including two groups), and "multiple pieces" refers to It is more than two pieces (including two pieces).

In the description of the embodiments of this application, the technical terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right" and "vertical" The orientation or positional relationships indicated by "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. are based on those shown in the accompanying drawings. The orientation or positional relationship is only for the convenience of describing the embodiments of the present application and simplifying the description. It does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the implementation of the present application. Example limitations.

In the description of the embodiments of this application, unless otherwise clearly stated and limited, technical terms such as "installation", "connection", "connection" and "fixing" should be understood in a broad sense. For example, it can be a fixed connection or a removable connection. It can be disassembled and connected, or integrated; it can also be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be an internal connection between two elements or an interaction between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of this application can be understood according to specific circumstances.

At present, with the rapid development of the new energy industry, power batteries, as power sources, are widely used in many fields such as electronic communications, transportation, aviation, and home energy storage. In particular, in recent years, new energy vehicles have become one of the main means of transportation for people to travel, and power batteries are widely used in new energy vehicles as power sources.

The inventor noticed that with the charge and discharge cycles of the power battery, the battery capacity of the power battery will decline. The capacity of the power battery directly affects the cruising range and performance of the vehicle. Therefore, during the use of the power battery, the capacity of the power battery needs to be calculated to determine the degree of attenuation of the power battery capacity based on the calculated battery capacity. In order to replace the power battery in time when the battery capacity declines to a certain extent, thereby avoiding the impact on the cruising range and performance of new energy vehicles.

The inventor noticed that at present, the capacity calculation of power batteries mainly relies on the neural network model. When calculating the capacity of the power battery, the charging condition data required for calculating the capacity is input into the neural network model, and the neural network model calculates The capacity of the power battery. The method of calculating the capacity of a power battery by relying on a neural network model has at least the following two shortcomings: First, the neural network model requires a large amount of data to be trained, and the accuracy of the neural network model largely depends on the training data and the real vehicle input data. quality. The reality is that when vehicles drive in places with weak signals, such as in tunnels or places far away from the signal base station, the data collected by the vehicle-side BMS (battery management system) cannot be sent to the background storage, thus This leads to the occurrence of data loss. In the case of serious data loss, the authenticity of the training data will be greatly affected. Second, the training data of the neural network model is usually based on the collection of a single battery cell in the power battery, and the generalization of the neural network model is poor. Combined with the above two deficiencies, the accuracy of the trained neural network model in calculating the battery capacity of the power battery is not high.

In order to improve the accuracy of power battery capacity calculation, the applicant found that at least two battery capacity determination methods can be used to calculate power battery capacity, thereby combining the advantages of at least two battery capacity determination methods to improve the accuracy of power battery capacity calculation. Spend.

Based on the above considerations, in order to improve the accuracy of power battery capacity calculation, the inventor designed a power battery capacity calculation method after in-depth research, specifically: obtaining multiple charging condition data of the target power battery. According to each of the plurality of charging condition data, at least two battery capacity determination methods are respectively used to obtain the battery capacity corresponding to each of the at least two battery capacity determination methods. Target data is obtained based on the battery capacity corresponding to each of the at least two battery capacity determination methods. Based on the target data, calculate the battery capacity corresponding to the target power battery at the target time point, where the target time point is any time point in the entire life cycle of the target power battery.

The power battery capacity calculation method and device disclosed in the embodiments of the present application can be applied to any power battery. The power battery can be any one of the following electrical devices: mobile phones, tablets, notebook computers, electric toys, and electric tools. , battery cars, electric cars, ships, spacecraft, etc. Among them, electric toys can include fixed or mobile electric toys, such as game consoles, electric car toys, electric ship toys, electric airplane toys, etc., and spacecraft can include airplanes, rockets, space shuttles, spaceships, etc.

The controller disclosed in the embodiment of the present application includes a processor and a machine-readable storage medium. The machine-readable storage medium stores machine-executable instructions that can be executed by the processor. The instructions are loaded and executed by the processor to implement the present invention. The capacity calculation method of the power battery disclosed in the application embodiment.

The vehicle engine disclosed in the embodiment of the present application can be applied to, but is not limited to, household or commercial vehicles powered by power batteries.

The following is a detailed description of the power battery capacity calculation method and device, controller, vehicle machine, and vehicle provided by the embodiments of the present application.

As shown in Figure 1, an embodiment of the present application provides a method for calculating the capacity of a power battery. The method mainly includes:

101. Obtain multiple charging condition data of the target power battery.

A power battery is a battery used as a power source in electrical devices such as vehicles. Its capacity will decay with the charge and discharge cycle. The capacity calculated in the embodiment of this application refers to a time in the entire life cycle of the power battery. The capacity of the point is the capacity that the power battery has decayed to at that point in time.

The specific type of target power battery can be selected based on specific business requirements. In principle, any power battery that has capacity calculation requirements can be used as the target power battery. For example, the target power battery is a lithium iron phosphate battery, that is, LFP, which is used as a power source for commercial vehicles.

The charging condition data is the data of the target power battery under charging conditions, which reflects the specific charging condition of the target power battery. In principle, a corresponding piece of charging condition data will be generated when the target power battery is charged once. In other words, a piece of charging condition data corresponds to the primary charging condition of the target power battery. The charging condition data may include but is not limited to at least one or more of the following parameters: the charging voltage of each cell of the target power battery and the time point corresponding to the charging voltage, the charging current value and the time point corresponding to the charging current value, each Multiple states of charge during the charging process of the battery cells, the time points corresponding to the states of charge, and the temperature of each battery cell during the charging process. Among them, the charging voltage, charging current, state of charge, and temperature all involve the values at the beginning of charging, at the end of charging, and between the beginning and end of charging.

The specific process of obtaining multiple charging condition data of the target power battery is explained below. The process includes the following steps one and two:

Step one, data cleaning.

During the use of the target power battery, the BMS of the target power battery will collect the charging condition data of the target power battery. That is to say, when the target power battery is charged once, the BMS will collect a piece of charging attack data corresponding to that charge. The BMS sends the collected charging condition data to the preset storage platform for storage. The preset storage platform stores a large amount of charging condition data corresponding to the target power battery, and there are usually some abnormal conditions in these data. The existence of abnormal conditions will affect the accuracy of the capacity calculation of the target power battery. Therefore, data needs to be Cleaning to remove abnormal charging condition data. Abnormal situations include but are not limited to data loss and null values. Data loss and null values are usually caused by the BMS sending charging condition data to the preset storage platform. For example, the transmission between the BMS and the preset storage platform is interrupted, resulting in some data in some charging condition data not being successfully transmitted to the preset storage platform, resulting in the loss of some data in the charging condition data.

For example, there is charging condition data 1 in the preset storage platform. The charging starting voltage of each battery cell and the charging end voltage of each battery are missing in the charging condition data 1. Because the charging condition data 1 is missing each battery The charging starting voltage of the cell and the charging end voltage of each cell lack basic data for calculating capacity, so they are eliminated.

Step 2: Extract multiple pieces of charging condition data.

After cleaning the charging condition data in the preset storage platform, all or part of the charging condition data can be extracted and used as charging condition data to calculate the target power battery capacity.

In practical applications, when extracting the charging condition data, the charging condition data can be extracted based on the numerical values of the parameters included in the charging condition data. The method of extracting charging condition data based on the numerical values of the parameters included in the charging condition data can avoid using charging condition data that does not contribute much to the calculation of power battery capacity. Theoretically, the more charging condition data extracted, the more charging conditions are introduced in the capacity calculation, and the more accurate the power battery capacity calculation will be.

For example, in order to use more charging condition data to calculate the capacity of the target power battery, the charging conditions in which the initial state of charge is less than 55% and the maximum voltage of the end-of-charge voltage in each cell is greater than 3.5 volts The data are extracted as the charging condition data required to calculate the capacity of the target power battery.

102. According to each of the plurality of charging condition data, use at least two battery capacity determination methods to obtain the battery capacity corresponding to each of the at least two battery capacity determination methods.

In order to make up for the calculation deviation of one battery capacity determination method, at least two battery capacity determination methods are selected, and at least two battery capacity determination methods are used to determine the capacity of each charging condition data, and the corresponding battery capacity determination methods are obtained. battery capacity.

It should be noted that for any battery capacity determination method, the circuit capacity determination method needs to be used to determine the capacity of each charging condition data to obtain the battery capacity corresponding to each charging condition data. Therefore, the battery capacity corresponding to a battery capacity determination method is the battery capacity corresponding to each piece of charging status data obtained after the battery capacity determination method determines the capacity of each piece of charging status data. For example, there are three pieces of charging condition data of the target power battery: charging condition data 1, charging condition data 2 and charging condition data 3, which are processed using battery capacity determination method 1 and battery capacity determination method 2. The battery capacity corresponding to the battery capacity determination method 1 is: the battery capacity corresponding to the charging condition data 1, the battery capacity corresponding to the charging condition data 2, and the battery capacity corresponding to the charging condition data 3. The battery capacity corresponding to the battery capacity determination method 2 is: the battery capacity corresponding to the charging condition data 1, the battery capacity corresponding to the charging condition data 2, and the battery capacity corresponding to the charging condition data 3.

In practical applications, the number and types of battery capacity determination methods can be determined based on business requirements. There are no specific limitations in this embodiment. Examples are as follows:

For example, the following two battery capacity determination methods are selected: a battery capacity determination method based on the phase change characteristic points of the anode of the power battery and a battery capacity determination method based on the state of charge of the power battery.

For example, the following three battery capacity determination methods are selected: a battery capacity determination method based on the phase change characteristic points of the anode of the power battery, a battery capacity determination method based on the state of charge of the power battery, and a battery capacity determination method based on a neural network model.

103. Obtain target data based on the battery capacity corresponding to each of the at least two battery capacity determination methods.

Since each battery capacity determination method has different biases and variances in battery capacity determination, in order to improve the accuracy of target battery capacity calculation, it is necessary to integrate the battery capacities corresponding to various battery capacity determination methods. The process of integrating the battery capacities corresponding to various battery capacity determination methods is mainly the process of determining target data. The target data is key data used to calculate the capacity of the target power battery, which represents the decay rate of the capacity of the target power battery over time.

The key point of the process of obtaining target data based on the battery capacity corresponding to each of at least two battery capacity determination methods is to obtain a set of batteries with small deviations based on the battery capacities corresponding to various battery capacity determination methods. capacity. Perform a linear fit on the resulting battery capacity with a small deviation to determine the decay of battery capacity over time. The slope of the curve formed after linear fitting is determined as the target data, and the slope represents the capacity decay rate of the target power battery over time.

104. Based on the target data, calculate the battery capacity corresponding to the target power battery at the target time point, where the target time point is any time point in the entire life cycle of the target power battery.

Based on the target data, the specific process of calculating the battery capacity corresponding to the target power battery at the target time point includes: determining the target duration between the target time point and the initial time point, where the initial time point is the time when the target power battery is first put into use. . Based on the slope, the initial capacity of the second battery power battery, and the target duration, the battery capacity of the target power battery under the target duration is determined.

During the entire life cycle of the target power battery, the battery capacity of the target power battery will decline with the charge and discharge cycles. During the use of the target power battery, if you need to know the degree of capacity attenuation at any point in its life cycle, you can determine that time point as the target time point to calculate the corresponding capacity of the target power battery at the target time point. battery capacity. The initial time point is the time point when the target power battery is put into use for the first time, that is, the time point when the target power battery undergoes a charge-discharge cycle for the first time. The target duration between the target time point and the initial time point is the cumulative usage time of the target power battery during its entire life cycle.

In the embodiment of the present application, based on the slope, the initial capacity of the second power battery and the target duration, the specific process of determining the battery capacity of the target power battery under the target duration is: determining the battery capacity of the target power battery under the target duration through the following formula battery capacity:

Cap _predict =k×t+C′

Among them, Cap _predict is the battery capacity of the target power battery under the target duration, k is the slope, t is the target duration, and C′ is the initial capacity of the target power battery.

The slope k represents the decay rate of the battery capacity over time, which is obtained by combining the battery capacities corresponding to at least two battery capacity determination methods, so it can truly represent the battery capacity decay of the power battery over time. The target duration is the duration between the target time point and the initial time point, which represents the cumulative use time of the target power battery during its entire life cycle. Within this target duration, the capacity of the target power battery is attenuated. The battery capacity calculated based on the target duration is the remaining capacity after the target power battery capacity has declined. The initial capacity of the target power battery is the capacity when the target power battery is first put into use.

Because the target data used to calculate the battery capacity corresponding to the target time point is obtained by combining two or more battery capacity determination methods. Therefore, it can truly represent the capacity decay rate of the target power battery over time, so the battery capacity calculated based on the target data can reflect the true capacity of the target power battery at the target time point.

The capacity calculation method of the power battery provided by the embodiment of the present application first obtains multiple charging condition data of the target power battery when it is necessary to calculate the capacity of the target power battery. Then, according to each of the multiple charging condition data, two or more battery capacity determination methods are used to obtain the battery capacity corresponding to each battery capacity determination method. And obtain target data based on the battery capacity corresponding to various battery capacity determination methods. Finally, based on the target data, the battery capacity corresponding to the target power battery at the target time point is calculated. It can be seen that the capacity of the target power battery decays with its charge and discharge cycle. Therefore, the battery capacity corresponding to the power battery at the target time point calculated in the solution provided by the embodiment of this application is the battery capacity of the target power battery after decay. . When calculating the battery capacity corresponding to the target time point, two or more battery capacity determination methods are combined. It can combine the advantages of various battery capacity determination methods while getting rid of the limitations and deviations of various battery capacity determination methods, so that the calculated battery capacity is closer to the real power capacity of the target power battery. Therefore, the embodiment of the present application can Improve the accuracy of power battery capacity calculation.

The above step 102 is explained in detail below:

In some embodiments of the present application, step 102 uses at least two battery capacity determination methods according to each piece of charging status data in the plurality of charging status data to obtain each battery capacity determination method in the at least two battery capacity determination methods. The specific process of battery capacity corresponding to the method includes the following steps 201 to 202:

201. Use the battery capacity determination method based on the anode phase change characteristic points of the power battery to determine the battery capacity for each charging condition data, and obtain the first battery capacity corresponding to each charging condition data.

The battery capacity determination method based on the phase change characteristic points of the anode of the power battery is a method of calculating the battery capacity by determining the phase change characteristic points of the anode of the power battery. The key point of this method is to determine the anode phase change characteristic points of the target power battery.

The anode phase change characteristic point is a characteristic point of the power battery. Under the same charging current and the same aging degree, when the power battery is charged to the anode phase change characteristic point, its battery capacity is a constant. Therefore, when the battery capacity determination method based on the anode phase change characteristic point of a power battery determines the capacity for any piece of charging condition data, it does not need to calculate the battery capacity before the anode phase change characteristic point after determining the anode phase change characteristic point. It is only necessary to calculate the battery capacity after the anode phase change characteristic point. After the battery capacity after the anode phase change characteristic point is calculated, the calculated battery capacity can be compared with the constant corresponding to the anode phase change characteristic point. The sum is added to determine the first battery capacity corresponding to the charging condition data.

202. Use the battery capacity determination method based on the state of charge of the power battery to determine the battery capacity for each piece of charging condition data, and obtain the second battery capacity corresponding to each piece of charging condition data.

The battery capacity determination method based on the state of charge of the power battery is a method of calculating the battery capacity by determining the specific state of charge of the power battery. The key point of this method is to determine the specific state of charge of the power battery.

The specific state of charge of the power battery is the state of charge corresponding to the start of charging of the target power battery. This state of charge is the state of charge corresponding to when the target power battery stops discharging before current charging. This state of charge is a state of charge that affects the normal use of the power battery and can be flexibly set based on business needs. The battery capacity corresponding to this state of charge is a constant. Therefore, when the battery capacity determination method based on the state of charge of the power battery determines the capacity for any piece of charging condition data, it is not necessary to calculate the battery capacity before the state of charge, but only the charged battery capacity after the state of charge. That's it, after the battery capacity after the preset state of charge is calculated, the second battery corresponding to the charging condition data can be determined by adding the calculated battery capacity and the constant corresponding to the state of charge. capacity.

Steps 201 to 202 are described in detail below:

In some embodiments of the present application, the above-mentioned step 201 uses a battery capacity determination method based on the phase change characteristic points of the anode of the power battery to determine the battery capacity of each piece of charging condition data, and obtain the first corresponding first value of each piece of charging condition data. Battery capacity, the specific execution process includes:

For each piece of charging condition data, perform the following steps 201A to 201C:

201A. Based on the charging voltage of the target power battery in the charging working condition data, determine the first target time point corresponding to the anode phase change characteristic point of the target power battery.

201B. Determine the specific first target battery capacity at the end of charging of the target power battery based on the first target time point.

201C. Compensate the first target battery capacity to obtain the first battery capacity corresponding to the charging condition data.

The above steps 201A to 201C are described in detail below:

In some embodiments of the present application, the specific process of determining the first target time point corresponding to the anode phase change characteristic point of the target power battery based on the charging voltage of the target power battery in the charging working condition data in the above step 201A includes: determining the charging working conditions. Multiple target charging voltages in the condition data, and based on the multiple target charging voltages, a differential curve between the target charging voltage and time is generated. Select the target local maximum point from all local maximum points of the differential curve. The time point corresponding to the local highest point of the target is determined as the first target time point. Wherein, the plurality of target charging voltages include a starting voltage, a first target voltage and at least one charging voltage between the starting voltage and the first target voltage, wherein the starting voltage is the initial voltage when the first target battery cell is charged, The first target voltage is the voltage of the first target cell in the target power battery when charging of the target power battery is completed, and the voltage of the first target cell is the smallest among all cells of the target power battery. The peak width of the target local maximum is the widest among all local maximums.

A single charging condition of the target power battery corresponds to a piece of charging condition data. The charging condition data includes the initial voltage of each cell in the target power battery when charging, the first target voltage at the end of charging, and multiple voltages during the charging process. charging voltage, initial voltage, first target voltage and the time point at which each charging voltage occurs. The time points at which the multiple charging voltages occur are located between the time point of the initial voltage and the time point of the first target voltage, and there is a certain time interval between each charging voltage.

When determining the first target time point corresponding to the anode phase change characteristic point of the target power battery, it is first necessary to select the first target battery cell in the target power battery. The first target battery cell is the end of charging among all the cells in the target power battery. The cell with the minimum voltage at the time. Because the capacity of a power battery is usually determined by the battery cell with the smallest voltage, the battery cell with the smallest voltage at the end of charging is selected as the first target battery cell.

After selecting the first target battery cell, the initial voltage of the first target battery cell, the first target voltage, and the charging voltage between the initial voltage and the first target voltage are all selected as the target charging voltage, and based on each target charging voltage and At each time point when the target charging voltage occurs, a relationship curve between the target charging voltage and time is generated. As shown in Figure 2, it is the relationship curve between target charging voltage and time.

After determining multiple target charging voltages, differential processing is performed on all target charging voltages and times to generate a differential curve between target charging voltages and time, that is, curve. As shown in Figure 3, it is the differential curve between the target charging voltage and time.

In practical applications, the charging of power batteries in vehicles uses segmented charging to achieve safe and fast charging. Therefore, the current switching of segmented charging will bring multiple local maximum points to the differential curve. In addition, when the power battery reaches the anode phase change characteristic point during charging, it will also bring a local highest point to the differential curve. Therefore, after generating the differential curve between the target charging voltage and time, it is necessary to determine all the local highest points in the differential curve to select the local highest point caused by the anode phase change characteristic point among all the local highest points.

In order to ensure the stability of power battery charging, the jump in the target charging voltage caused by current switching in segmented charging usually occurs in a short time, and the peak width of the local highest point caused by it is narrow. The jump in the target charging voltage caused by the anode phase change usually occurs for a long time, and the peak width of the local highest point caused by it is wider. Therefore, the local highest point with the widest peak width is selected from all local highest points of the differential curve as the target local highest point, and the target local highest point is the anode phase change characteristic point. As shown in Figure 3, point A in Figure 3 is the local highest point of the target.

After selecting the target local highest point from all the local highest points of the differential curve, the time point corresponding to the target local highest point is determined as the first target time point. The first target time point is the time point when the anode phase change characteristic point occurs. The first target time point is obtained based on the corresponding relationship between the time axis in the relationship curve between the target charging voltage and time and the differential curve between the target charging voltage and time.

In some embodiments of the present application, the specific process of determining the specific first target battery capacity at the end of charging of the target power battery based on the first target time point in step 201B includes: obtaining the first capacity corresponding to the anode phase change characteristic point of the target power battery. . The second capacity charged to the target power battery between the first target time point and the second target time point is determined. The sum of the first capacity and the second capacity is determined as the first target battery capacity. The second target time point is the time point when the target power battery ends charging.

The anode phase change characteristic point is a characteristic point of the power battery. Under the same charging current and the same aging degree, when the power battery is charged to the anode phase change characteristic point, its battery capacity is a constant. Therefore, after determining the anode phase change characteristic points of the target power battery, the corresponding anode phase change characteristic points of the target power battery can be obtained directly from the table of the preset anode phase change points and capacity by searching. First capacity.

After determining the anode phase change characteristic point, there is no need to calculate the battery capacity before the anode phase change characteristic point. The first capacity corresponding to the anode phase change characteristic point can be obtained by searching the preset table. Therefore, only the anode phase change characteristic point needs to be calculated. The battery capacity after the change characteristic point is sufficient. The second capacity in this application is the battery capacity charged into the power battery after the anode phase change characteristic point.

The second capacity is the charging capacity of the target power battery between the first target time point and the second target time point. Among them, the first target time point is the time point when the target power battery reaches the anode phase change characteristic point, and the second target time point is the time point when the target power battery ends charging.

In the embodiment of the present application, the specific process of determining the second capacity charged into the target power battery between the first target time point and the second target time point is: comparing the charging conditions data between the first target time point and the second target time point. The current value between the target time points is calculated by ampere-hour integration to obtain the second capacity.

Specifically, the ampere-hour integral calculation is performed on the current value between the first target time point and the second target time point in the charging condition data, and the process of obtaining the second capacity can be expressed by the following formula:

Among them, Cap _{after_phase} is the second capacity, t _end is the second target time point, t _phase is the first target time point, It is the current value corresponding to time point t, I _t-1 is the current corresponding to time point t-1 value.

In some embodiments of the present application, step 201C performs compensation processing on the first target battery capacity, and the specific process of obtaining the first battery capacity corresponding to the charging condition data includes the following steps 201C1 to 201C2:

201C1. Perform at least one compensation process based on the charging condition data to obtain at least one corresponding battery capacity compensation value. The at least one compensation process includes at least one of current compensation process, temperature compensation process and full charge compensation process. .

During the charging process of the target power battery, the charging current, temperature and voltage at full charge will bring certain deviations to the battery capacity. Therefore, in order to reduce the existence of deviations and improve the accuracy of battery capacity calculation, it is necessary to calculate the battery capacity based on the charging conditions. The data undergoes at least one compensating process.

In practical applications, at least one of the following compensation processing may be selected: at least one of current compensation processing, temperature compensation processing, and full charge compensation processing. When each compensation process is performed based on the charging condition data, the battery capacity compensation value corresponding to each compensation process will be obtained.

The current compensation process is a method of compensation based on the current value of the charging condition. The temperature compensation process is a method of compensation based on the relevant temperature of the charging conditions. The full charge compensation process is a method of compensation based on the voltage at full charge.

201C2. Compensate the first target battery capacity through at least one battery capacity compensation value to obtain the first battery capacity.

The purpose of compensating the first target battery capacity through the battery capacity compensation value is to obtain a first battery capacity that is closer to the true capacity of the target power battery.

The process of compensating the first target battery capacity through at least one battery capacity compensation value usually includes adding each battery capacity compensation value and the first target battery capacity, and determining the summation result as the first battery capacity.

The specific compensation processing process in the above step 201C1 is explained below:

In some embodiments of the present application, the current compensation process is performed based on the charging condition data, and the specific process of obtaining the first battery capacity compensation value corresponding to the current compensation process includes: based on the first target time point corresponding to the charging condition data. A current value is used to obtain the first battery capacity compensation value corresponding to the current compensation process. The first target time point is the time point when the target power battery reaches the anode phase change characteristic point.

In the embodiment of the present application, based on the current value corresponding to the target time point in the charging condition data, the first battery capacity compensation value corresponding to the current compensation process is obtained, which can be expressed by the following formula:

C _{current compensation} = C _C × (Curr _peak -Curr _offset )

Among them, C _{current compensation} is the first battery capacity compensation value, Curr _peak is the current value corresponding to the first target time point, C _C is the preset current compensation coefficient, and Curr _offset is the preset current calibration value.

The current value corresponding to the first target time point where the anode phase change characteristic point is located is Curr _peak . The preset current compensation coefficient is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. For example, based on the experimental data of the same power battery as the target power battery, a linear relationship is generated from the voltage differential peak at different charging gears to the total capacity of full charge, and a preset current compensation coefficient is obtained based on this linear relationship. Similarly, the preset current calibration value is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs.

In some embodiments of the present application, the specific process of performing temperature compensation processing based on charging operating condition data and obtaining the second battery capacity compensation value corresponding to the temperature compensation processing includes: based on the target temperature in the charging operating condition data, obtaining the corresponding temperature compensation processing The second battery capacity compensation value, where the target temperature is the temperature of the second target cell in the target power battery when charging in the target power battery is completed, where the temperature of the second target cell is within the range of all cells in the target power battery. The highest among them.

The same battery cells can be charged to different capacities at different temperatures, so temperature compensation processing needs to be introduced to accurately calculate the true capacity of the target power battery. The rechargeable capacity of the target power battery is determined by the second target battery cell with the highest temperature at the end of charging, so the temperature compensation process is performed based on the temperature of the second target battery cell. In the embodiment of the present application, this temperature compensation process can correctly calculate the true capacity of the power battery of commercial vehicles such as buses that are operated throughout the year.

In the embodiment of the present application, based on the first target temperature in the charging condition data, the second battery capacity compensation value corresponding to the temperature compensation process is obtained, which can be expressed by the following formula:

C _{temperature compensation} = C _t × (Temp _curr -T′))

Among them, C _{temperature compensation} is the second battery capacity compensation value, Temp _curr is the target temperature, T′ is the preset temperature calibration value, and C _t is the preset temperature compensation coefficient.

When the target power battery is charged, the temperature of the second target battery cell with the highest temperature is the target temperature. The preset temperature compensation coefficient is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. Similarly, the target temperature is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. For example, the target temperature can be the ambient temperature of the power battery at the target point, 25°C.

In some embodiments of the present application, the full charge compensation process is performed based on the charging condition data, and the specific process of obtaining the third battery capacity compensation value corresponding to the full charge compensation process includes: based on the second target voltage in the charging condition data, obtain The third battery capacity compensation value corresponding to the full charge compensation process, where the second target voltage is the voltage of the third target battery cell in the target power battery when charging in the target power battery is completed, and the voltage of the third target battery cell is within the target The highest among all cells in power batteries.

In the embodiment of this application, based on the target voltage in the charging condition data, the third battery capacity compensation value corresponding to the full charge compensation process is obtained, which can be expressed by the following formula:

C _{full charge compensation} = C _f × (Volt _end -Volt _n )

Among them, C _{full charge compensation} is the third battery capacity compensation value, Volt _end is the second target voltage, Volt _n is the preset full charge calibration value, and C _f is the preset full charge compensation coefficient.

When the target power battery is charged, the voltage of the third target battery cell with the highest voltage is the second target voltage. The preset full charge compensation coefficient is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. For example, in order to obtain more effective charging cycles, the filtering condition for full charge is set to be full charge as long as the maximum end voltage exceeds 3.5V. The remaining capacity is based on the historical charging process of a single vehicle and the maximum voltage is 3.5 The linear fitting of the charging capacity during the period of V-3.7V gives C _f . Similarly, the preset full charge calibration value is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs.

The above steps 201C2 are explained below:

In some embodiments of the present application, step 201C2 compensates the first target battery capacity through at least one battery capacity compensation value to obtain the first battery capacity. The specific process includes: the sum of at least one battery capacity compensation value and the first target battery capacity. , determined as the first battery capacity.

Exemplarily, at least one capacity compensation value includes a first battery capacity compensation value corresponding to current compensation processing, a second battery capacity compensation value corresponding to temperature compensation processing, and a third battery capacity compensation value corresponding to full charge compensation processing. Then the first battery capacity can be determined by the following formula:

C′ ₁ =C ₁ +C _{current compensation} +C _{temperature compensation} +C _{full charge compensation}

Among them, C′ ₁ is the first battery capacity, C ₁ is the first target battery capacity, C _{current compensation} is the first battery capacity compensation value, C _{temperature compensation} is the second battery capacity compensation value, and C _{full charge compensation} is the third battery Capacity compensation value.

The following is an explanation of the above-mentioned no-go 202:

In some embodiments of the present application, step 202 uses a battery capacity determination method based on the state of charge of the power battery to determine the battery capacity of each piece of charging condition data, and obtain the second battery capacity corresponding to each piece of charging condition data. The specific process includes:

For each piece of charging condition data, the following steps 202A to 202C are performed:

202A. Determine the second target battery capacity to be charged after the target power battery is discharged to the target state of charge based on the charging condition data.

202B. Obtain a fourth target battery capacity based on the second target battery capacity and the third target battery capacity corresponding to the target state of charge.

202C. Compensate the fourth target battery capacity to obtain the second battery capacity corresponding to the charging condition data.

The above steps 202A to 202C are described in detail below:

In some embodiments of the present application, the specific process of determining the second target battery capacity to be charged after the target power battery is discharged to the target state of charge based on the charging condition data in step 202A includes: determining the second target battery capacity when charging of the target power battery starts. Three target time points and the fourth target time point at the end of charging of the target power battery; perform ampere-hour integral calculation on the current value between the third target time point and the fourth target time point in the charging condition data to obtain the second target Battery capacity, where the state of charge of the target power battery at the beginning of charging is the target state of charge.

The target state of charge is the state of charge of the target power battery when charging starts, that is, the target state of charge is the state of charge of the target power battery after the last discharge before current charging. When the target power battery is currently being charged, it is charged with the target state of charge as the initial state of charge. The second target battery capacity is the amount of electricity charged into the target power battery after it has the target state of charge. It should be noted that the target state of charge is generally the lowest target state of charge that the power battery can discharge. Discharging the power battery below the target state of charge will cause damage to the power battery.

Specifically, the ampere-hour integral calculation is performed on the current value between the third target time point and the fourth target time point in the charging condition data, and the process of obtaining the second target battery capacity can be expressed by the following formula:

Among them, Cap ₁ is the second target battery capacity, t _end is the fourth target time point when the target power battery charging ends, t _begin is the third target time point when the target power battery charging starts, It is the third target time The current value corresponding to the time point t between the third target time point and the fourth target time point, I _t-1 is the current value corresponding to the time point t-1 between the third target time point and the fourth target time point.

In some embodiments of the present application, the above step 202B is based on the second target battery capacity and the third target battery capacity corresponding to the target state of charge. The specific process of obtaining the fourth target battery capacity includes: based on the voltage value corresponding to the target state of charge. , query the voltage and electricity curve of the target power battery, and determine the electricity value corresponding to the voltage value as the third target battery capacity; determine the sum of the second target battery capacity and the third target battery capacity as the fourth target battery capacity.

The battery capacity of the target power battery in the target state of charge is a constant. Therefore, based on the voltage value corresponding to the target state of charge, the voltage and electricity curve of the target power battery can be queried, and the electricity value corresponding to the voltage value is determined as the third target. battery capacity. The third target battery capacity is the battery capacity of the target power battery in the target state of charge.

The second target battery capacity is the amount of electricity charged into the target power battery after it has the target state of charge. The third target battery capacity is the battery capacity of the target power battery in the target state of charge. Therefore, the sum of the second target battery capacity and the third target battery capacity is determined as the fourth target battery capacity. The fourth target battery capacity is the capacity of the target power battery after charging is completed under one charging condition.

In some embodiments of the present application, the above step 202C performs compensation processing on the fourth target battery capacity, and the specific process of obtaining the second battery capacity corresponding to the charging condition data includes the following steps 202C1 to 202C2:

202C1. Perform at least one compensation process based on the charging condition data to obtain at least one corresponding battery capacity compensation value, where the at least one compensation process includes at least one of temperature compensation process and full charge compensation process.

During the charging process of the target power battery, the charging current and temperature will bring certain deviations to the battery capacity. Therefore, in order to reduce the storage of deviations and improve the accuracy of battery capacity calculation, at least one kind of compensation needs to be performed based on the charging condition data. deal with.

In practical applications, at least one of the following compensation processes may be selected: at least one of temperature compensation process and full charge compensation process. When each compensation process is performed based on the charging condition data, the battery capacity compensation value corresponding to each compensation process will be obtained.

The temperature compensation process is a method of compensation based on the relevant temperature of the charging conditions. The full charge compensation process is a method of compensation based on the voltage at full charge.

202C2. Compensate the fourth target battery capacity through at least one battery capacity compensation value to obtain the second battery capacity.

The purpose of compensating the first target battery capacity through the battery capacity compensation value is to obtain a first battery capacity that is closer to the true capacity of the target power battery.

The process of compensating the first target battery capacity through at least one battery capacity compensation value usually includes adding each battery capacity compensation value and the first target battery capacity, and determining the summation result as the first battery capacity.

The specific compensation processing process in the above step 202C1 is explained below:

In some embodiments of the present application, the specific process of performing temperature compensation processing based on charging operating condition data and obtaining the second battery capacity compensation value corresponding to the temperature compensation processing includes: based on the target temperature in the charging operating condition data, obtaining the corresponding temperature compensation processing The second battery capacity compensation value, where the target temperature is the temperature of the second target cell in the target power battery when charging in the target power battery is completed, where the temperature of the second target cell is within the range of all cells in the target power battery. The highest among them.

The same battery cells can be charged to different capacities at different temperatures, so temperature compensation processing needs to be introduced to accurately calculate the true capacity of the target power battery. The rechargeable capacity of the target power battery is determined by the second target battery cell with the highest temperature at the end of charging, so the temperature compensation process is performed based on the temperature of the second target battery cell. In the embodiment of the present application, this temperature compensation process can correctly calculate the true capacity of the power battery of commercial vehicles such as buses that are operated throughout the year.

In the embodiment of the present application, based on the first target temperature in the charging condition data, the second battery capacity compensation value corresponding to the temperature compensation process is obtained, which can be expressed by the following formula:

C _{temperature compensation} = C _t × (Temp _curr -T′)

Among them, C _{temperature compensation} is the second battery capacity compensation value, Temp _curr is the target temperature, T′ is the preset temperature calibration value, and C _t is the preset temperature compensation coefficient.

When the target power battery is charged, the temperature of the second target battery cell with the highest temperature is the target temperature. The preset temperature compensation coefficient is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. Similarly, the target temperature is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. For example, the target temperature can be the ambient temperature of the power battery at the target point, 25°C.

In some embodiments of the present application, the full charge compensation process is performed based on the charging condition data, and the specific process of obtaining the third battery capacity compensation value corresponding to the full charge compensation process includes: based on the second target voltage in the charging condition data, obtain The third battery capacity compensation value corresponding to the full charge compensation process, where the second target voltage is the voltage of the third target battery cell in the target power battery when charging in the target power battery is completed, and the voltage of the third target battery cell is within the target The highest among all cells in power batteries.

In the embodiment of this application, based on the target voltage in the charging condition data, the third battery capacity compensation value corresponding to the full charge compensation process is obtained, which can be expressed by the following formula:

C _{full charge compensation} = C _f × (Volt _end -Volt _n )

Among them, C _{full charge compensation} is the third battery capacity compensation value, Volt _end is the second target voltage, Volt _n is the preset full charge calibration value, and C _f1 is the preset full charge compensation coefficient.

When the target power battery is charged, the voltage of the third target battery cell with the highest voltage is the second target voltage. The preset full charge compensation coefficient is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs. For example, in order to obtain more effective charging cycles, the filtering condition for full charge is set to be full charge as long as the maximum end voltage exceeds 3.5V. The remaining capacity is based on the historical charging process of a single vehicle and the maximum voltage is 3.5 The linear fitting of the charging capacity during the period of V-3.7V gives C _f . Similarly, the preset full charge calibration value is calibrated based on a large amount of power battery experimental data and can be set based on specific business needs.

The above step 202C2 is explained below:

In some embodiments of the present application, step 202C2 compensates the fourth target battery capacity through at least one battery capacity compensation value. The specific process of obtaining the second battery capacity includes: the addition of at least one battery capacity compensation value and the fourth target battery capacity. and, determined as the second battery capacity.

Exemplarily, at least one capacity compensation value includes a second battery capacity compensation value corresponding to the temperature compensation process and a third battery capacity compensation value corresponding to the full charge compensation process. Then the second battery capacity can be determined by the following formula:

C′ ₂ =C ₂ +C _{temperature compensation} +C _{full charge compensation}

Among them, C′ ₂ is the second battery capacity, C ₂ is the fourth target battery capacity, C _{current compensation} is the first battery capacity compensation value, C _{temperature compensation} is the second battery capacity compensation value, and C _{full charge compensation} is the third battery Capacity compensation value.

The above step 103 is explained in detail below:

In some embodiments of the present application, the specific process of obtaining target data in step 103 based on the battery capacity corresponding to each of the at least two battery capacity determination methods includes the following steps 301 to 303:

301. Execute for each first battery capacity: extract the target second battery capacity that occurs in the preset time period from each second battery capacity; determine the difference between the first battery capacity and each target second battery capacity respectively. ; Determine the average of all differences; determine the first battery capacity and the average as the deviation battery capacity.

302. Perform linear fitting on the deviation battery capacities of all first battery capacities and the occurrence time of each first battery capacity.

303. Determine the slope obtained by linear fitting as the target data.

The above steps 301 to 303 are described in detail below:

In some embodiments of the present application, step 301 is executed for each first battery capacity: extract the target second battery capacity that occurs in a preset time period from each second battery capacity; determine the relationship between the first battery capacity and each The difference between the target second battery capacity; determine the average of all differences; determine the first battery capacity and the average as the deviation battery capacity.

Various battery capacity determination methods have different deviations and variances in calculating battery capacity. Therefore, it is necessary to combine the calculation advantages of various battery capacity determination methods to calculate the battery capacity to minimize the deviation and variance of the calculated battery capacity. For example, the first battery capacity is obtained by a battery capacity determination method based on the phase change characteristic points of the anode of the power battery, which has a large deviation and large variance. The second battery capacity is determined based on the battery capacity determination method of the power battery state of charge, and its deviation is small and the variance is large.

The main method of calculating the calculation advantage of battery capacity by combining various battery capacity determination methods is: for each first battery capacity: extract the target second battery capacity that occurs in the preset time period from each second battery capacity; respectively Determine the difference between the first battery capacity and each target second battery capacity; determine the average of all differences; determine the first battery capacity and the average as the deviation battery capacity. This process is to minimize the deviation and variance between the first battery capacity and the second battery capacity.

For example, for a first battery capacity that occurs in May, the second battery capacity that occurs in the time period “January to June” is extracted as the target second battery capacity. The difference between the first battery capacity and each target second battery capacity is then determined, and the difference is then divided by the sum of the target second battery capacities to obtain an average of all differences. The first battery capacity and the average value are determined as the deviation battery capacity. This operation can reduce the deviation and variance between the first battery capacity and the second battery capacity.

In some embodiments of the present application, the specific process of linear fitting the deviation battery capacity of all first battery capacities and the occurrence time of each first battery capacity in step 302 is: determining the time point corresponding to each first battery capacity, Each first battery capacity has a corresponding time point, and this time point is the time point when the charging condition data for calculating the first battery capacity occurs. Linear fitting is performed between the deviation battery capacities of all the first battery capacities and the occurrence time of each first battery capacity to obtain a curve of the first battery capacity and time, which reflects the change of the battery capacity with time.

In some embodiments of the present application, the specific process of determining the slope obtained by linear fitting as target data in step 303 is: determining the slope obtained by linear fitting as target data. Linear fitting reflects the decay of battery capacity over time, so its slope can represent the decay rate of battery capacity over time, so the slope is determined as the target data.

The above step 104 is explained below:

In some embodiments of the present application, step 104 is based on the target data. The specific process of calculating the battery capacity corresponding to the target power battery at the target time point includes: determining the target duration between the target time point and the initial time point, where the initial time point It is the time point when the target power battery is put into use for the first time. Based on the slope, the initial capacity of the second battery power battery, and the target duration, the battery capacity of the target power battery under the target duration is determined.

During the entire life cycle of the target power battery, the battery capacity of the target power battery will decline with the charge and discharge cycles. During the use of the target power battery, if you need to know the degree of capacity attenuation at any point in its life cycle, you can determine that time point as the target time point to calculate the corresponding capacity of the target power battery at the target time point. battery capacity. The initial time point is the time point when the target power battery is put into use for the first time, that is, the time point when the target power battery undergoes a charge-discharge cycle for the first time. The target duration between the target time point and the initial time point is the cumulative usage time of the target power battery during its entire life cycle.

In the embodiment of the present application, based on the slope, the initial capacity of the second power battery and the target duration, the specific process of determining the battery capacity of the target power battery under the target duration is: determining the battery capacity of the target power battery under the target duration through the following formula battery capacity:

Cap _predict =k×t+C′

Among them, Cap _predict is the battery capacity of the target power battery under the target duration, k is the slope, t is the target duration, and C′ is the initial capacity of the target power battery.

The slope k represents the decay rate of the battery capacity over time, which is obtained by combining the battery capacities corresponding to at least two battery capacity determination methods, so it can truly represent the battery capacity decay of the power battery over time. The unit of slope k can be ampere-hour/second or ampere-hour/hour.

The target duration is the duration between the target time point and the initial time point, which represents the cumulative use time of the target power battery during its entire life cycle. Within this target duration, the capacity of the target power battery is attenuated. The battery capacity calculated based on the target duration is the remaining capacity after the target power battery capacity has declined. The target duration can be in seconds.

The initial capacity of the target power battery is the capacity when the target power battery is first put into use.

For example, if the slope is -2 Ampere hours/hour, the target duration is 50 hours, and the initial capacity is 50,000 Ampere hours, then

Cap _predict =-2×50+50000=49900

Further, based on the above method embodiment, another embodiment of the present application also provides a capacity calculation device for a power battery. As shown in Figure 4, the device includes:

The acquisition unit 41 is used to acquire multiple charging condition data of the target power battery;

The first determination unit 42 is configured to use at least two battery capacity determination methods according to each piece of charging status data in the plurality of charging status data to obtain the corresponding battery capacity determination method for each of the at least two battery capacity determination methods. battery capacity;

The second determination unit 43 is configured to obtain target data based on the battery capacity corresponding to each of the at least two battery capacity determination methods;

The calculation unit 44 is used to calculate the battery capacity corresponding to the target power battery at a target time point based on the target data, where the target time point is any time point in the entire life cycle of the target power battery.

The power battery capacity calculation device provided by the embodiment of the present application first obtains multiple charging condition data of the target power battery when it is necessary to calculate the capacity of the target power battery. Then, according to each of the multiple charging condition data, two or more battery capacity determination methods are used to obtain the battery capacity corresponding to each battery capacity determination method. And obtain target data based on the battery capacity corresponding to various battery capacity determination methods. Finally, based on the target data, the battery capacity corresponding to the target power battery at the target time point is calculated. It can be seen that the capacity of the target power battery decays with its charge and discharge cycle. Therefore, the battery capacity corresponding to the power battery at the target time point calculated in the solution provided by the embodiment of this application is the battery capacity of the target power battery after decay. . When calculating the battery capacity corresponding to the target time point, two or more battery capacity determination methods are combined. It can combine the advantages of various battery capacity determination methods while getting rid of the limitations and deviations of various battery capacity determination methods, so that the calculated battery capacity is closer to the real power capacity of the target power battery. Therefore, the embodiment of the present application can Improve the accuracy of power battery capacity calculation.

In some embodiments of the present application, as shown in Figure 5, the first determining unit 42 includes:

The first determination sub-unit 421 is used to determine the battery capacity of each piece of charging condition data using a battery capacity determination method based on the anode phase change characteristic points of the power battery, and obtain the first battery capacity corresponding to each piece of charging condition data. ;

The second determination subunit 422 is used to determine the battery capacity of each piece of charging condition data using a battery capacity determination method based on the state of charge of the power battery, and obtain the second battery capacity corresponding to each piece of charging condition data.

In some embodiments of the present application, as shown in Figure 5, the first determination subunit 421 is specifically configured to perform for each piece of charging condition data: based on the charging voltage of the target power battery in the charging condition data, determine the target The first target time point corresponding to the anode phase change characteristic point of the power battery; determine the specific first target battery capacity at the end of charging of the target power battery based on the first target time point; perform compensation processing on the first target battery capacity to obtain the charging process The first battery capacity corresponding to the condition data.

In some embodiments of the present application, as shown in Figure 5, the first determining subunit 421 includes:

The first determining module 421A is used to determine multiple target charging voltages in the charging condition data, where the charging voltage includes a starting voltage, a first target voltage, and at least one charging voltage between the starting voltage and the first target voltage. , where the starting voltage is the initial voltage when charging the first target battery, the first target voltage is the voltage of the first target battery in the target power battery when charging of the target power battery ends, the voltage of the first target battery The smallest among all cells in the target power battery;

The generation module 421B is used to generate a differential curve between the target charging voltage and time based on multiple target charging voltages;

The selection module 421C is used to select the target local highest point from all local highest points of the differential curve, where the peak width of the target local highest point is the widest among all local highest points;

The second determination module 421D is used to determine the time point corresponding to the target local highest point as the first target time point.

In some embodiments of the present application, as shown in Figure 5, the first determining subunit 421 includes:

The acquisition module 421E is used to acquire the first capacity corresponding to the anode phase change characteristic point of the target power battery;

The third determination module 421F is used to determine the second capacity charged into the target power battery between the first target time point and the second target time point. The second target time point is the time point when the target power battery ends charging;

The fourth determination module 421G is used to determine the sum of the first capacity and the second capacity as the first target battery capacity.

In some embodiments of the present application, as shown in Figure 5, the second determination module 421F is specifically used to perform ampere-hour integration on the current value between the first target time point and the second target time point in the charging condition data. Calculate and get the second capacity.

In some embodiments of the present application, as shown in Figure 5, the first determining subunit 421 includes:

The first compensation module 421H is configured to perform at least one compensation process based on the charging condition data to obtain at least one corresponding battery capacity compensation value, where the at least one compensation process includes current compensation processing, temperature compensation processing, and full charge compensation. at least one of the treatments;

The second compensation module 421I is used to compensate the first target battery capacity through at least one battery capacity compensation value to obtain the first battery capacity.

In some embodiments of the present application, as shown in Figure 5, the first compensation module 421H includes:

The first compensation sub-module 421H1 is used to obtain the first battery capacity compensation value corresponding to the current compensation process based on the first current value corresponding to the first target time point in the charging condition data.

In some embodiments of the present application, as shown in Figure 5, the first compensation sub-module 421H1 is specifically used to obtain the first battery capacity compensation value through the following formula:

C _{current compensation} = C _C × (Curr _peak -Curr _offset )

Among them, C _{current compensation} is the first battery capacity compensation value, Curr _peak is the current value corresponding to the first target time point, C _C is the preset current compensation coefficient, and Curr _offset is the preset current calibration value.

In some embodiments of the present application, as shown in Figure 5, the first compensation module 421H includes:

The second compensation sub-module 421H2 is used to obtain the second battery capacity compensation value corresponding to the temperature compensation process based on the target temperature in the charging condition data, where the target temperature is the temperature in the target power battery when charging in the target power battery is completed. The temperature of the second target battery cell, where the temperature of the second target battery cell is the highest among all the battery cells of the target power battery.

In some embodiments of the present application, as shown in Figure 5, the second compensation sub-module 421H2 is specifically used to obtain the second battery capacity compensation value through the following formula:

C _{temperature compensation} = C _t × (Temp _curr -T′)

Among them, C _{temperature compensation} is the second battery capacity compensation value, Tempcurr is the target temperature, T′ is the preset temperature calibration value, and C _t is the preset temperature compensation coefficient.

In some embodiments of the present application, as shown in Figure 5, the first compensation module 421H includes:

The third compensation sub-module 421H3 is used to obtain the third battery capacity compensation value corresponding to the full charge compensation process based on the second target voltage in the charging condition data, where the second target voltage is when charging in the target power battery is completed. The voltage of the third target cell in the target power battery, where the voltage of the third target cell is the highest among all cells of the target power battery.

In some embodiments of the present application, as shown in Figure 5, the third compensation sub-module 421H3 is specifically used to obtain the third battery capacity compensation value through the following formula:

C _{full charge compensation} = C _f × (Volt _end -Volt _n )

Among them, C _{full charge compensation} is the third battery capacity compensation value, Volt _end is the second target voltage, Volt _n is the preset full charge calibration value, and C _f1 is the preset full charge compensation coefficient.

In some embodiments of the present application, as shown in FIG. 5 , the second compensation module 421I is specifically configured to determine the sum of at least one battery capacity compensation value and the first target battery capacity as the first battery capacity.

In some embodiments of the present application, as shown in Figure 5, the second determination subunit 422 is specifically configured to perform for each piece of charging condition data: determine based on the charging condition data after the target power battery is discharged to the target state of charge. The charged second target battery capacity; based on the second target battery capacity and the third target battery capacity corresponding to the target state of charge, the fourth target battery capacity is obtained; the fourth target battery capacity is compensated to obtain the charging condition data Corresponding second battery capacity.

In some embodiments of the present application, as shown in Figure 5, the second determination subunit 422 includes:

The fifth determination module 422A is used to determine the third target time point when charging of the target power battery starts and the fourth target time point when charging of the target power battery ends, wherein the state of charge of the target power battery when charging starts is target state of charge;

The calculation module 422B is used to perform ampere-hour integral calculation on the current value between the third target time point and the fourth target time point in the charging condition data to obtain the second target battery capacity.

In some embodiments of the present application, as shown in Figure 5, the second determination subunit 422 includes:

The query module 422C is used to query the voltage and electricity curve of the target power battery based on the voltage value corresponding to the preset state of charge, and determine the electricity value corresponding to the voltage value as the third target battery capacity;

The sixth determination module 422D is used to determine the sum of the second target battery capacity and the third target battery capacity as the fourth target battery capacity.

In some embodiments of the present application, as shown in Figure 5, the second determination subunit 422 includes:

The third compensation module 422E is configured to perform at least one compensation process based on the charging condition data to obtain at least one corresponding battery capacity compensation value, wherein the at least one compensation process includes at least one of a temperature compensation process and a full charge compensation process. A sort of;

The fourth compensation module 422F is used to compensate the fourth target battery capacity through at least one battery capacity compensation value to obtain the second battery capacity.

In some embodiments of the present application, as shown in Figure 5, the third compensation module 422E includes:

The fifth compensation sub-module 422E1 is used to obtain the second battery capacity compensation value corresponding to the temperature compensation process based on the target temperature in the charging condition data, where the target temperature is the temperature in the target power battery when charging in the target power battery is completed. The temperature of the second target battery cell, where the temperature of the second target battery cell is the highest among all the battery cells of the target power battery.

In some embodiments of the present application, as shown in Figure 5, the fifth compensation sub-module 422E1 is specifically used to obtain the second battery capacity compensation value through the following formula:

C _{temperature compensation} = C _t × (Temp _curr -T′))

Among them, C _{temperature compensation} is the second battery capacity compensation value, Temp _curr is the target temperature, T′ is the preset temperature calibration value, and C _t is the preset temperature compensation coefficient.

In some embodiments of the present application, as shown in Figure 5, the third compensation module 422E includes:

The sixth compensation sub-module 422E2 is used to obtain the third battery capacity compensation value corresponding to the full charge compensation process based on the second target voltage in the charging condition data, where the second target voltage is when charging in the target power battery is completed. The voltage of the third target cell in the target power battery, where the voltage of the third target cell is the highest among all cells of the target power battery.

In some embodiments of the present application, as shown in Figure 5, the sixth compensation sub-module 422E2 is specifically used to obtain the third battery capacity compensation value through the following formula:

C _{full charge compensation} = C _f × (Volt _end -Volt _n )

Among them, C _{full charge compensation} is the third battery capacity compensation value, Volt _end is the second target voltage, Volt _n is the preset full charge calibration value, and C _f1 is the preset full charge compensation coefficient.

In some embodiments of the present application, as shown in FIG. 5 , the fourth compensation module 422F is specifically configured to determine the sum of at least one battery capacity compensation value and the fourth target battery capacity as the second battery capacity.

In some embodiments of the present application, as shown in Figure 5, the second determining unit 43 includes:

The third determination sub-unit 431 is configured to perform for each first battery capacity: extract the target second battery capacity that occurs in the preset time period from each second battery capacity; determine the first battery capacity and each target respectively. The difference between the second battery capacity; determine the average of all differences; determine the first battery capacity and the average as the deviation battery capacity;

The fitting subunit 432 is used to linearly fit the deviation battery capacities of all first battery capacities and the time when each first battery capacity occurs;

The fourth determination subunit 433 is used to determine the slope obtained by linear fitting as target data.

In some embodiments of the present application, as shown in Figure 5, the computing unit 44 includes:

The fifth determination sub-unit 441 is used to determine the target duration between the target time point and the initial time point, where the initial time point is the time point when the target power battery is first put into use;

The sixth determination subunit 442 is used to determine the battery capacity of the target power battery under the target duration based on the slope, the initial capacity of the second battery power battery, and the target duration.

In some embodiments of the present application, as shown in Figure 5, the sixth determination sub-unit 442 is specifically used to determine the battery capacity of the target power battery under the target duration through the following formula:

Cap _predict =k×t+C′

Among them, Cap _predict is the battery capacity of the target power battery under the target duration, k is the slope, t is the target duration, and C′ is the initial capacity of the second battery power battery.

In the power battery capacity calculation device provided by the embodiment of the present application, for a detailed explanation of the method used in the operation of each functional module, please refer to the corresponding method detailed explanation of the method embodiment in Figure 1, and will not be described again here.

Further, according to the above embodiment, another embodiment of the present application also provides a controller. The controller includes a processor and a machine-readable storage medium. The machine-readable storage medium stores machine-readable data that can be executed by the processor. The instructions to be executed are loaded and executed by the processor to implement the power battery capacity calculation method in Figure 1.

Further, according to the above embodiment, another embodiment of the present application also provides a vehicle machine, which includes: the above-mentioned controller.

Further, according to the above embodiment, another embodiment of the present application also provides a vehicle, which includes: the above-mentioned vehicle machine.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

It can be understood that relevant features in the above methods and devices can be referred to each other. In addition, “first”, “second”, etc. in the above-mentioned embodiments are used to distinguish between the embodiments and do not represent the advantages and disadvantages of each embodiment.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present application. The scope shall be covered by the claims and description of this application. In particular, as long as there is no structural conflict, the technical features mentioned in the various embodiments can be combined in any way. The application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims (26)

1. A method of calculating a capacity of a power cell, the method comprising:

acquiring a plurality of pieces of charging condition data of a target power battery;

according to each piece of charging working condition data in the plurality of pieces of charging working condition data, at least two battery capacity determining methods are adopted respectively, and battery capacity corresponding to each battery capacity determining method in the at least two battery capacity determining methods is obtained; one of the at least two battery capacity determining methods is a battery capacity determining method based on the phase change characteristic point of the anode of the power battery;

obtaining target data according to the battery capacity corresponding to each of the at least two battery capacity determining methods;

and calculating the battery capacity of the target power battery corresponding to a target time point based on the target data, wherein the target time point is any time point of the target power battery in a full life cycle.

2. The method of claim 1, wherein according to each piece of charging condition data in the plurality of pieces of charging condition data, at least two battery capacity determining methods are adopted respectively, and a battery capacity corresponding to each of the at least two battery capacity determining methods is obtained, including:

Carrying out battery capacity determination on each piece of charging working condition data by adopting a battery capacity determination method based on the anode phase change characteristic points of the power battery to obtain first battery capacities corresponding to the pieces of charging working condition data;

and adopting a battery capacity determining method based on the charge state of the power battery to respectively determine the battery capacity of each piece of charging working condition data, and obtaining the second battery capacity corresponding to each piece of charging working condition data.

3. The method of claim 2, wherein the determining the battery capacity of each piece of the charging condition data by using a battery capacity determining method based on the anode phase change feature point of the power battery, to obtain the first battery capacity corresponding to each piece of the charging condition data, includes:

and executing for each piece of charging condition data:

determining a first target time point corresponding to an anode phase change characteristic point of the target power battery based on the charging voltage of the target power battery in the charging condition data;

determining a specific first target battery capacity at the end of the target power battery charging based on the first target point in time;

and compensating the first target battery capacity to obtain the first battery capacity corresponding to the charging condition data.

4. The method of claim 3, wherein determining a first target point in time for an anode phase change feature of a target power cell based on a charge voltage of the target power cell in the charge condition data comprises:

determining a plurality of target charging voltages in the charging condition data, wherein the charging voltages comprise an initial voltage, a first target voltage and at least one charging voltage between the initial voltage and the first target voltage, wherein the initial voltage is an initial voltage when a first target battery cell is charged, the first target voltage is a voltage of a first target battery cell in the target power battery when the charging of the target power battery is finished, and the voltage of the first target battery cell is minimum in all battery cells of the target power battery;

generating a differential curve between the target charging voltage and time based on the plurality of target charging voltages;

selecting a target local highest point from all local highest points of the differential curve, wherein the peak width of the target local highest point is the widest among all local highest points;

and determining the time point corresponding to the highest point of the target part as the first target time point.

5. The method of claim 3, wherein determining a particular first target battery capacity at the end of the target power battery charge based on the first target point in time comprises:

acquiring a first capacity corresponding to an anode phase change characteristic point of the target power battery;

determining a second capacity of the target power battery charged between the first target time point and a second target time point, wherein the second target time point is a time point when the target power battery finishes charging;

and determining the sum of the first capacity and the second capacity as the first target battery capacity.

6. The method of claim 5, wherein determining a second capacity of the target power battery to charge between the first target point in time and a second target point in time comprises:

and carrying out ampere-hour integral calculation on the current value between the first target time point and the second target time point in the charging working condition data to obtain the second capacity.

7. The method of claim 3, wherein compensating the first target battery capacity to obtain a first battery capacity corresponding to the charging condition data comprises:

At least one compensation process is carried out based on the charging condition data to obtain at least one corresponding battery capacity compensation value, wherein the at least one compensation process comprises at least one of current compensation process, temperature compensation process and full charge compensation process;

and compensating the first target battery capacity through the at least one battery capacity compensation value to obtain the first battery capacity.

8. The method of claim 7, wherein compensating the first target battery capacity by the at least one battery capacity compensation value results in the first battery capacity, comprising:

and determining the sum of the at least one battery capacity compensation value and the first target battery capacity as the first battery capacity.

9. The method of claim 2, wherein determining the battery capacity of each piece of the charging condition data by using a battery capacity determining method based on the state of charge of the power battery, to obtain a second battery capacity corresponding to each piece of the charging condition data, includes:

and executing for each piece of charging condition data:

determining a second target battery capacity charged after the target power battery is discharged to a target state of charge based on the charging condition data;

Obtaining a fourth target battery capacity based on the second target battery capacity and a third target battery capacity corresponding to the target state of charge;

and compensating the fourth target battery capacity to obtain a second battery capacity corresponding to the charging condition data.

10. The method of claim 9, wherein determining a second target battery capacity charged after the target power battery is discharged to a target state of charge based on the charge condition data comprises:

determining a third target time point when the target power battery is charged and a fourth target time point when the target power battery is charged, wherein the charge state when the target power battery is charged is the target charge state;

and carrying out ampere-hour integral calculation on the current value between the third target time point and the fourth target time point in the charging working condition data to obtain the second target battery capacity.

11. The method of claim 9, wherein deriving a fourth target battery capacity based on the second target battery capacity and a third target battery capacity corresponding to the target state of charge comprises:

Inquiring a voltage and electric quantity curve of the target power battery based on a voltage value corresponding to the target state of charge, and determining an electric quantity value corresponding to the voltage value as the third target battery capacity;

and determining the sum of the second target battery capacity and the third target battery capacity as the fourth target battery capacity.

12. The method of claim 9, wherein compensating the fourth target battery capacity to obtain a second battery capacity corresponding to the charge condition data comprises:

at least one compensation process is carried out based on the charging condition data to obtain at least one corresponding battery capacity compensation value, wherein the at least one compensation process comprises at least one of temperature compensation process and full charge compensation process;

and compensating the fourth target battery capacity through the at least one battery capacity compensation value to obtain the second battery capacity.

13. The method of claim 12, wherein compensating the fourth target battery capacity by the at least one battery capacity compensation value to obtain the second battery capacity comprises:

and determining the sum of the at least one battery capacity compensation value and the fourth target battery capacity as the second battery capacity.

14. The method of claim 7, wherein performing a current compensation process based on the charging condition data to obtain a first battery capacity compensation value corresponding to the current compensation process, comprises:

and obtaining a first battery capacity compensation value corresponding to the current compensation processing based on a first current value corresponding to a first target time point in the charging working condition data.

15. The method of claim 14, wherein obtaining a first battery capacity compensation value corresponding to the current compensation process based on a current value corresponding to a target point in time in the charging condition data, comprises:

the first battery capacity compensation value is obtained by the following formula:

C _{current compensation} ＝C _C ×(Curr _peak -Curr _offset )

Wherein C is _{Current compensation} For the first battery capacity compensation value, curr _peak C, for the current value corresponding to the first target time point _C To preset the current compensation coefficient, curr _offset Is a preset current calibration value.

16. The method according to claim 7 or 12, wherein performing temperature compensation processing based on the charging condition data to obtain a second battery capacity compensation value corresponding to the temperature compensation processing includes:

and obtaining a second battery capacity compensation value corresponding to the temperature compensation processing based on the target temperature in the charging condition data, wherein the target temperature is the temperature of a second target battery core in the target power battery when charging in the target power battery is finished, and the temperature of the second target battery core is highest in all battery cores of the target power battery.

17. The method of claim 16, wherein obtaining a second battery capacity compensation value corresponding to the temperature compensation process based on a first target temperature in the charging condition data comprises:

the second battery capacity compensation value is obtained by the following formula:

C _{temperature compensation} ＝C _t ×(Temp _curr -T′)

Wherein C is _{Temperature compensation} Temp for the second battery capacity compensation value _curr For the target temperature, T' is a preset temperature calibration value, C _t Is a preset temperature compensation coefficient.

18. The method according to claim 7 or 12, wherein performing a full charge compensation process based on the charging condition data to obtain a third battery capacity compensation value corresponding to the full charge compensation process, includes:

and obtaining a third battery capacity compensation value corresponding to the full charge compensation processing based on a second target voltage in the charging condition data, wherein the second target voltage is the voltage of a third target battery cell in the target power battery when charging in the target power battery is finished, and the voltage of the third target battery cell is highest in all battery cells of the target power battery.

19. The method of claim 18, wherein obtaining a third battery capacity compensation value corresponding to the full charge compensation process based on a target voltage in the charge condition data comprises:

The third battery capacity compensation value is obtained by the following formula:

C _{full charge compensation} ＝C _f ×(Volt _end -Volt _n )

Wherein C is _{Full charge compensation} For the third battery capacity compensation value, volt _end For the second target voltage Volt _n C is a preset full charge calibration value _f The compensation coefficient is fully charged for the preset.

20. The method according to claim 2, wherein obtaining target data according to the battery capacity corresponding to each of the at least two battery capacity determination methods, comprises:

performing for each of the first battery capacities: extracting a target second battery capacity occurring in a preset time period from each of the second battery capacities; determining a difference between the first battery capacity and each of the target second battery capacities; determining an average value of all the differences; determining the first battery capacity and the average value as a deviation battery capacity;

performing linear fitting on the deviation battery capacity of all the first battery capacities and the occurrence time of each first battery capacity;

and determining the slope obtained by linear fitting as the target data.

21. The method of claim 20, wherein calculating a battery capacity of the target power battery at a target point in time based on the target data comprises:

Determining a target time length between the target time point and an initial time point, wherein the initial time point is a time point when the target power battery is put into use for the first time;

and determining the battery capacity of the target power battery under the target duration based on the slope, the initial capacity of the second battery power battery and the target duration.

22. The method of claim 21, wherein determining the battery capacity of the target power battery at the target time period based on the slope, the initial capacity of the second battery power battery, and the target time period comprises:

determining the battery capacity of the target power battery under the target duration by the following formula:

Cap _predict ＝k×t+C′

wherein the Cap _predict And (3) for the battery capacity of the target power battery under the target duration, k is the slope, t is the target duration, and C' is the initial capacity of the second battery power battery.

23. A power cell capacity calculation device, the device comprising:

the acquisition unit is used for acquiring a plurality of pieces of charging condition data of the target power battery;

the first determining unit is used for respectively adopting at least two battery capacity determining methods according to each piece of charging working condition data in the plurality of pieces of charging working condition data to obtain battery capacity corresponding to each battery capacity determining method in the at least two battery capacity determining methods; one of the at least two battery capacity determining methods is a battery capacity determining method based on the phase change characteristic point of the anode of the power battery;

A second determining unit, configured to obtain target data according to a battery capacity corresponding to each of the at least two battery capacity determining methods;

and the calculating unit is used for calculating the battery capacity of the target power battery corresponding to a target time point based on the target data, wherein the target time point is any time point of the target power battery in a full life cycle.

24. A controller comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the instructions loaded and executed by the processor: to implement the capacity calculation method of a power cell as defined in any one of claims 1 to 22.

25. A vehicle machine, the vehicle machine comprising: the controller of claim 24.

26. A vehicle, characterized in that the vehicle comprises: the vehicle of claim 25.