CN118112437A - A method, device, electronic device and storage medium for evaluating the core capacity of a battery - Google Patents

Abstract

The embodiment of the application discloses a nuclear capacity assessment method and device for a storage battery, belongs to the technical field of storage batteries, and can solve the problem of low accuracy in assessment of the nuclear capacity condition of the storage battery. Comprising the following steps: acquiring a floating charge voltage value set value corresponding to a storage battery in base station equipment through a sensor; transmitting a discharge instruction to the storage battery, and determining that the storage battery starts nuclear capacity discharge when the floating charge voltage set value is detected to be equal to the discharge voltage set value; acquiring nuclear capacity discharge data in the nuclear capacity discharge process, and calculating the nuclear capacity of the storage battery according to the nuclear capacity discharge data; when the detection of the nuclear capacity discharging is completed, sending a charging instruction to the storage battery, and when the detection of the floating charging voltage value is equal to the charging voltage setting value, determining that the storage battery carries out nuclear capacity charging; according to the preset time length, the core capacity charging is determined to be completed, and core capacity charging data in the core capacity charging process are obtained; and evaluating the nuclear capacity condition of the storage battery based on the nuclear capacity charging data, the nuclear capacity discharging data and the nuclear capacity.

Description

A method, device, electronic device and storage medium for evaluating the core capacity of a battery

Technical Field

The present application relates to the technical field of storage batteries, and in particular to a method, device, electronic device and storage medium for evaluating the core capacity of a storage battery.

Background technique

With the development of science and technology and people's increasing dependence on renewable energy, batteries, as a renewable energy source that can store electrical energy, have been widely used in many fields. For example, in related base station equipment, batteries, as a key component of communication base stations, play a vital role in the construction of base station power systems. The stability and reliability of their performance is the basic guarantee for achieving uninterrupted power supply.

In the related technology, it is usually necessary to go to the site manually to use special equipment to test the battery, measure the battery voltage, internal resistance, electrolyte specific gravity and other parameters, and conduct charge and discharge tests to evaluate the battery capacity and performance. However, these methods all have certain limitations and cannot accurately evaluate the battery's core capacity.

Summary of the invention

The purpose of the embodiments of the present application is to provide a battery capacity evaluation method, device, electronic device and storage medium to solve the problem of low accuracy in evaluating the battery capacity.

To solve the above technical problems, the embodiments of the present application are implemented as follows:

In a first aspect, an embodiment of the present application provides a method for evaluating the core capacity of a battery, comprising: obtaining a floating charge voltage setting value corresponding to a battery in a base station device through a sensor; sending a discharge instruction to the battery, and determining that the battery starts core capacity discharge when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value; obtaining core capacity discharge data during the core capacity discharge process, and the core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; calculating the core capacity of the battery according to the core capacity discharge data; when it is detected that the core capacity discharge is completed, sending a charging instruction to the battery, and determining that the battery performs core capacity charging when it is detected that the floating charge voltage value is equal to the charging voltage setting value; determining that the core capacity charging is completed according to a preset time length, then obtaining the core capacity charging data during the core capacity charging process; and evaluating the core capacity of the battery based on the core capacity charging data, the core capacity discharge data and the core capacity.

In a second aspect, an embodiment of the present application provides a battery core capacity evaluation device, comprising: a first acquisition module, used to acquire a floating charge voltage value setting value corresponding to a battery in a base station device through a sensor; a discharge module, used to send a discharge instruction to the battery, and when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, determine that the battery starts to perform core capacity discharge; a second acquisition module, used to acquire core capacity discharge data during the core capacity discharge process, and the core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; a core capacity calculation module, used to calculate the core capacity of the battery according to the core capacity discharge data; a charging module, used to send a charging instruction to the battery when it is detected that the core capacity discharge is completed, and when it is detected that the floating charge voltage value is equal to the charging voltage setting value, determine that the battery performs core capacity charging; a third acquisition module, used to determine that the core capacity charging is completed according to a preset time length, and then acquire the core capacity charging data during the core capacity charging process; an evaluation module, used to evaluate the core capacity of the battery based on the core capacity charging data, the core capacity discharge data and the core capacity.

In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor and a memory electrically connected to the processor, the memory storing a computer program, and the processor being used to call and execute the computer program from the memory to implement the above-mentioned battery core capacity assessment method.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium for storing a computer program, wherein the computer program can be executed by a processor to implement the above-mentioned method for evaluating the core capacity of a battery.

In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the above-mentioned method for evaluating the core capacity of a battery.

Adopting the technical solution of the embodiment of the present application, the floating charge voltage value setting value corresponding to the battery in the base station equipment is obtained through the sensor, and the discharge instruction is sent to the battery. When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity, and the core capacity discharge data during the core capacity discharge process is obtained. The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; according to the core capacity discharge data, the core capacity of the battery is calculated. When the core capacity discharge is detected to be completed, the charging instruction is sent to the battery. According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data during the core capacity charging process is obtained. Based on the core capacity charging data, the core capacity discharge data and the core capacity, the core capacity of the battery is evaluated. Among them, by calculating the battery core capacity, the discharge capacity of the battery is effectively evaluated, various battery data are obtained through sensors, and the battery charging and discharging process is intelligently processed remotely. There is no need for personnel to measure the battery performance on site. Different types of batteries can be tested to improve the detection efficiency. Moreover, through the data of the battery charging and discharging process and the calculation of the battery core capacity, the battery performance and core capacity can be fully considered, which can solve the problem of low accuracy in evaluating the battery core capacity.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate one or more embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in one or more embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a schematic flow chart of a method for evaluating the core capacity of a battery according to an embodiment of the present application;

FIG2 is a schematic diagram of obtaining the battery capacity in stages according to an embodiment of the present application;

FIG3 is a schematic diagram of calculating the battery capacity in stages during variable current discharge according to an embodiment of the present application;

FIG4 is a schematic diagram of another method of calculating the battery capacity in stages during variable current discharge according to an embodiment of the present application;

FIG5 is a graph showing the relationship between full discharge time and capacity at different constant currents according to an embodiment of the present application;

FIG6 is a schematic diagram of calculating the battery capacity by stages according to the remaining capacity of an embodiment of the present application;

FIG7 is a schematic diagram of a current alternating step load according to an embodiment of the present application;

FIG8 is a schematic diagram of the relationship between the variable current discharge time and the remaining capacity according to an embodiment of the present application;

FIG9 is a schematic diagram of a charge acceptance volume relationship according to an embodiment of the present application;

FIG10 is a schematic flow chart of a method for evaluating the core capacity of a battery according to another embodiment of the present application;

FIG11 is a logic flow chart of a battery capacity control service according to an embodiment of the present application;

FIG12 is a schematic block diagram of a battery core capacity evaluation device according to an embodiment of the present application;

FIG. 13 is a schematic diagram of the hardware structure of a battery core capacity assessment device according to an embodiment of the present application.

Detailed ways

The embodiments of the present application provide a battery capacity evaluation method, device, electronic device and storage medium to solve the problem of low accuracy in evaluating the battery capacity.

In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

The battery capacity evaluation method provided in the embodiment of the present application can be executed by an electronic device or by software installed in the electronic device. Specifically, the electronic device can be a terminal device or a server device. The terminal device can include a smart phone, a laptop computer, a smart wearable device, a vehicle terminal, etc. The server device can include an independent physical server, a server cluster composed of multiple servers, or a cloud server capable of cloud computing.

In the following, in conjunction with the accompanying drawings, a method for evaluating the core capacity of a battery provided in an embodiment of the present application is described in detail through specific embodiments and application scenarios.

FIG1 is a schematic flow chart of a method for evaluating the core capacity of a battery provided by an embodiment of the present invention, the method comprising the following steps:

S102, obtaining a floating charge voltage setting value corresponding to a storage battery in a base station device through a sensor.

The floating charge voltage setting value refers to obtaining the floating charge voltage setting value of the battery. It should be noted that the equalization charge voltage setting value can also be obtained and saved at the same time, which can ensure that the device can be smoothly restored to the standby state after the capacity verification is completed. Moreover, if it is not a battery in the base station, but a capacity calculation or charge and discharge test of the base station, the floating charge voltage setting value of the base station can also be obtained, which is not limited here.

S104, sending a discharge instruction to the battery, and determining that the battery starts to discharge to its core capacity when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value.

By issuing a discharge instruction to the battery, when the corresponding floating charge voltage setting value of the battery is equal to the discharge voltage setting value, this is the start time of the battery core capacity discharge, and the battery starts to charge other devices, that is, the battery performs core capacity discharge. It should be noted that if the corresponding floating charge voltage setting value of the battery remains unchanged after the discharge instruction is issued, it is considered that the discharge has failed and the core capacity discharge is ended.

S106, obtaining core capacity discharge data during the core capacity discharge process.

The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process.

Specifically, the charge time includes the time at each moment in the discharge process. The voltage data includes the charge voltage value corresponding to each charge time, and the current data includes the current value of the battery at each moment, such as constant current data or variable current data.

When the floating charge voltage setting value corresponding to the battery is equal to the discharge voltage setting value, the battery supplies power to other devices, that is, the battery performs core capacity discharge, then the core capacity discharge data of the battery can be obtained.

S108, calculating the core capacity of the battery according to the core capacity discharge data.

According to the core capacity discharge data obtained in step S106, it can be known that after entering the discharge stage, the switching power supply needs to record the corresponding voltage data and current data at intervals of a preset time period. The core capacity of the battery is determined based on the voltage data and current data recorded during the core capacity process, and specifically, the actual capacity and the remaining capacity of the battery are calculated using the core capacity time and the voltage data and current data, and the rated capacity, i.e., the core capacity, is determined based on the actual capacity and the remaining capacity. It should be understood that the performance of the battery will change during use, and the rated capacity is not always constant. Therefore, when performing the core capacity calculation, the core capacity of the battery must be determined.

S110, when it is detected that the core capacity discharge is completed, a charging instruction is sent to the battery, and when it is detected that the floating charge voltage value is equal to the charging voltage setting value, it is determined that the battery is charged to the core capacity.

When the electronic device detects that the nuclear capacity has been discharged, it sends a charging instruction to the battery.

Specifically, the detection of the completion of the nuclear capacitor discharge includes obtaining the power supply current and total load current data of the power supply. If the power supply current is found to have changed and meets the requirements for 5 consecutive minutes,

I _gate -0.75×I _total >0

At this time, the battery enters the charging state, and the sudden change time of the power supply current is the end of discharge time, and the core capacity state is changed to charging. Alternatively, when the discharge reaches the set time, the system automatically sends a floating charge voltage recovery instruction. After the floating charge voltage is restored, the time at this time is recorded as the end of discharge time, and the core capacity state is also changed to charging.

When the core capacity discharge is detected to be completed, a charging instruction is sent to the battery, that is, a command to restore the floating charge voltage. The data can be polled every 5 minutes. When the floating charge voltage value is detected to be equal to the charging voltage setting value, that is, the floating charge voltage setting value can return to the initial setting value within the predetermined time, it is determined that the battery is charged to the core capacity, and the query time at this time is recorded as the start time of the core capacity charging.

S112, determining that the core capacity charging is completed according to the preset time length, and obtaining the core capacity charging data during the core capacity charging process.

S114, evaluating the core capacity of the battery based on the core capacity charging data, the core capacity discharging data and the core capacity.

According to the core capacity charging data, core capacity discharging data and core capacity, it is determined whether the battery can be charged and discharged normally. It can intelligently detect the performance of the battery, determine the core capacity by calculating the core capacity data during the discharge process, and detect the capacity information of the battery in real time, thereby accurately evaluating the core capacity of the battery.

Adopting the technical solution of the embodiment of the present application, the floating charge voltage value setting value corresponding to the battery in the base station equipment is obtained through the sensor, and the discharge instruction is sent to the battery. When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity, and the core capacity discharge data during the core capacity discharge process is obtained. The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; according to the core capacity discharge data, the core capacity of the battery is calculated. When the core capacity discharge is detected to be completed, the charging instruction is sent to the battery. According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data during the core capacity charging process is obtained. Based on the core capacity charging data, the core capacity discharge data and the core capacity, the core capacity of the battery is evaluated. Among them, by calculating the battery core capacity, the discharge capacity of the battery is effectively evaluated, various battery data are obtained through sensors, and the battery charging and discharging process is intelligently processed remotely. There is no need for personnel to measure the battery performance on site. Different types of batteries can be tested to improve the detection efficiency. Moreover, through the data of the battery charging and discharging process and the calculation of the battery core capacity, the battery performance and core capacity can be fully considered, which can solve the problem of low accuracy in evaluating the battery core capacity.

In one embodiment, the core capacity of the battery is calculated according to the core capacity discharge data (i.e., S108), and the following steps A1-A3 may be performed:

Step A1: using the ladder calculation method and based on the nuclear capacity discharge data, determine the nuclear capacity information of the battery. The nuclear capacity information includes the nuclear capacity calculated using the ladder algorithm.

The core capacity includes: actual capacity, remaining capacity and rated capacity. The data used in the calculation are the core capacity discharge data obtained during the discharge process. The actual capacity refers to the amount of electricity that the battery can release when it reaches a preset end voltage in actual conditions. It is also called available capacity and is recorded as C _d .

Based on the actual needs of the base station, in addition to discharging to the termination voltage, data is also collected and the corresponding capacity is calculated according to the preset usage time limit (such as 3 hours), all of which are actual capacity.

During the constant current discharge process, the actual capacity is equal to the current data I recorded during the discharge multiplied by the discharge time t in the core capacity time:

C _d = It

When discharging with variable current, the actual capacity is calculated using the following formula:

The remaining capacity includes: the amount of electric energy that the battery can still release without completely releasing the power, which is marked as C _r . Specifically, when the battery releases a certain amount of power under non-standard conditions:

_Cr ＝ _CN - _Cd

Among them, _CN is the rated capacity of the battery.

While maintaining constant current discharge, the actual capacity can be described by the empirical formula Peukert equation (denoted as PE1):

Where: I represents the constant discharge current; t represents the duration of discharge from the start to the end of discharge; n ₁ represents the Perkert constant, whose value is greater than 1; K ₁ is a constant. It can be inferred from formula (1) that For the same battery, since n ₁ > 1, the available capacity C _d of the battery will decrease with the increase of I. The remaining capacity C _r should satisfy the Peukert equation (PE2), and the corresponding formula is as follows:

When using stage discharge technology, the battery's power consumption state remains basically the same when it reaches the same end stage. The sum of the total currents _Cd and Cr released in the two stages constitutes the maximum possible usage, that is, the rated capacity _CN . And _CN also satisfies the modified Peukert equation, which is PE3:

For a certain termination point or voltage, formula (3) gives:

I _d refers to the continuous discharge current, t _d identifies the actual discharge time, and t _N refers to the length of time the current is discharged according to the standard discharge rate.

make

but

Here _Kc is the capacity conversion factor, which corresponds to the capacity conversion factor from the initial state of the battery to a certain termination voltage. According to the pre-determined conversion factor, the phased correspondence of various parameters of the same type of battery under the same termination voltage, different discharge time, and constant current discharge conditions can be obtained.

Based on the above, the constant current discharge relationship is shown in Figure 2, which is a schematic diagram for obtaining the battery capacity in stages. Where _Id is the discharge current, _t1 is the discharge time in the first stage, and _t2 is the time from discharge to the termination node. The core capacity is calculated based on the conversion coefficient and the capacity of the final discharge stage:

Among them: _CN refers to the standard capacity of the battery, that is, the core capacity; _Kc02 represents the power conversion rate from the start time to the end of discharge; _CII is the power required by the battery in the second stage; C is the power required by the battery in the first stage; _Kc12 represents the power conversion rate from _t1 to the complete discharge of electricity.

When the current is converted to discharge, as shown in FIG3 , it is a schematic diagram (Form 1) of calculating the battery capacity in stages when the current is converted to discharge. According to formula (5), for the situation in FIG3 (a), the large current is discharged first, and then the small current is discharged:

For the situation in Figure 3(b), a small current is discharged first, and then a large current is discharged:

The discharge process of the battery is derived according to formulas (6) and (7), as shown in Figure 4, which shows a schematic diagram of calculating the battery capacity in stages during variable current discharge (Form 2), that is, for the case of Figure 4 (a), the battery is discharged with a large current first and then with a small current; for the case of Figure 4 (b), the battery is discharged with a large current first and then with a small current. The physical interpretation corresponding to Figure 4 can be understood as: the battery is first discharged to time _t1 by a current of _I1 , and then discharged to time _t2 by a current _{of I2} . The whole process is like removing or adding a capacitor with a value of When I ₁ >I ₂ , the value of C is C ₁ -C ₂ ; conversely, when I ₁ <I ₂ , the value of C is C ₁ +C ₂ . When this method is extended to the multi-stage variable current discharge model, the corresponding core capacity of the battery under the multi-stage variable current discharge condition can be obtained.

Step A2: According to the nuclear capacity discharge data and the nuclear capacity information of the battery, the actual capacity, remaining capacity and rated capacity of the battery are determined using a remaining capacity prediction algorithm.

Based on the core capacity calculated by the ladder algorithm in step A1, it can also be optimized to obtain the core capacity of the battery.

Specifically, the process includes the following: the rated capacity of the battery is C _N , the discharge current is I _d , the discharge time is t _d , the amount of electricity released is _Cu , and the current remaining electricity Cr is calculated by the following formula:

_Cr = CN _{- Cu} = CN _- I _d t _d (9)

When the battery is discharged, the concentration of the electrolyte will decrease, and there is a linear correlation between the decrease in the remaining capacity Cr of the battery and the decrease in the electrolyte concentration. In addition, under the condition of fixed current discharge, the decrease in electrolyte concentration will decrease linearly with the increase in discharge time, so there is also a linear correlation between Cr and discharge time.

C _r = -kt + b (10)

Here, k represents the slope of the _Cr -t characteristic curve under constant current discharge conditions; b represents the vertical axis distance of the discharge characteristic curve. By comparing formulas (9) and (10), we can see that _Id = -k, _CN = b.

As shown in Figure 5, the relationship between the full discharge time and capacity at different constant currents is shown. It can be seen that if the discharge termination voltage remains unchanged, the slope of the discharge curve will only be affected by the discharge current. _t1 refers to the time required for the _I1 current to fully discharge, and _T1 is the theoretical equivalent time when _I1 continues to discharge until the remaining capacity is 0. At the moment _t1 , the remaining capacity can be represented by _CT1 ; the definitions of _t2 , _T2 \ _CN are similar; I _N represents the discharge rate under the standard time, and the full discharge time _tN at this time is consistent with the expected time _TN , so the remaining capacity CT _N is 0. In addition, we can infer _I1 > _I2 >I _N through formula (9).

When using step-by-step variable current discharge, it is necessary to ensure that the concentration of the electrolyte and other related parameters do not change drastically at the moment of current change. If the remaining capacity of the battery during variable current discharge is to be evaluated, the characteristic curve of constant current discharge can be used. According to formula (9), the division of the discharge stage can be displayed in a graphical way, as shown in Figure 6, which shows a schematic diagram of calculating the battery capacity in stages based on the remaining capacity.

Among them, FIG6(a) shows that a large current is discharged first, and then a small current is discharged:

For Figure 6(b): first discharge with a small current, then discharge with a large current:

When the discharge current is in a multi-stage changing state, the distribution of its step load can be referred to FIG7 . As shown in FIG7 , a schematic diagram of the current alternately changing step load is shown.

at this time:

C ₂ =(I ₁ -I ₄ )t ₁

C ₄ =(I ₂ -I ₃ )(t ₃ -t ₂ )

_Cn ＝ _C1 + _C2 + _C3 + _C4

If this logic is applied to N-order variable current load, then:

Among them: _C1 represents the constant current discharge capacity from the start to the end voltage time point, as shown by _L1 in Figure 7; _ΔIi refers to the discharge current corresponding to the period when the discharge behavior ends before the termination voltage node, as shown by _L2 and _L4 in Figure 7; _Δti is the duration of _ΔIi discharge; _ΔIj refers to the discharge current when discharging to the end voltage, as shown by load _L3 in Figure 7; _Kc0t refers to the capacity conversion coefficient from the start state to full discharge (time t); _tj is the duration of the total discharge time t minus _ΔIj ; and the final _CR is the random load of 5s.

It should be noted that FIG5 shows that after the battery is fully discharged at a large current, there is still a certain amount of residual capacity, and this part of the residual capacity has been included in the result calculated using the capacity conversion coefficient _Kc . And a deeper analysis shows that the increase in discharge current will cause the residual capacity to rise. When the battery is discharged according to the mode of FIG6(a), the correlation between the residual capacity and time can be clearly observed. As shown in FIG8, a schematic diagram of the relationship between the variable current discharge time and the residual capacity is shown: Curve 1: First discharge with a large current _I1 to _t1 , at which time the residual capacity is _Cr1 ; then fully discharge with a small current _I2 to _t2 , and the obtained rated capacity of the battery is _Cn1 . Curve 2: Directly fully discharge with _I1 to _t1 , at which time the residual capacity is _Cr2 , and the obtained rated capacity of the battery is _Cn2 . Curve 3: Discharging with a large current I ₁ to t ₁ , at which time the remaining capacity is C _r3 ; then completely discharging with a small current I′ ₂ to t2 , where I′ ₂ <I ₂ , the battery capacity obtained is C _N3 .

Among them, after the high current discharge in the first stage, the remaining battery capacity required for different discharge currents in the second stage will be different. It may be greater or less than the remaining battery capacity after direct full discharge. As can be seen from Figure 8, _Cr1 , _Cr2 and _Cr3 each represent the remaining battery capacity at different stages, and these differences directly lead to the result of _CN1 > _CN2 > _CN3 . Therefore, when calculating the battery capacity, it is necessary to proceed in stages and compare them with each other to obtain the largest value as the calculated capacity of the battery. In this way, the actual capacity of the battery can be evaluated more accurately, avoiding calculation errors caused by simple one-step discharge.

Step A3: Determine the core capacity of the battery based on the actual capacity, remaining capacity and rated capacity.

The ladder algorithm and the modified remaining capacity prediction algorithm are used to calculate the actual capacity and the remaining capacity. The actual capacity and the remaining capacity determined by the remaining capacity prediction algorithm are used. Because the battery is constantly being used, the performance will decrease during the process, and the rated capacity will also decrease. Therefore, the core capacity is determined by calculating the different rated capacities of the battery multiple times. It should be noted that the core capacity calculated in this embodiment does not conflict with the charge and discharge process. The core capacity can be calculated even if the battery is not tested for charge and discharge. Of course, if the core capacity is not calculated, the charge and discharge test can also be performed.

In this embodiment, the core capacity information of the basic step calculation method is further optimized, and a residual capacity prediction algorithm is adopted to finally obtain a more accurate core capacity of the battery. Specifically, by calculating the remaining capacity of the battery in stages, the remaining capacity of the battery in each different discharge situation is determined by using the different currents and the different stages of the core capacity discharge time. The different residual capacities lead to different rated capacities of the battery. After comparing the rated capacities of each stage, the largest value is used as the rated capacity of the battery, and the performance of the battery can be determined based on the rated capacity.

In one embodiment, before obtaining the floating charge voltage setting value corresponding to the battery in the base station device through the sensor (ie, S102), the following steps B1-B5 may be performed:

Step B1: Calculate the backup capacity of the battery according to the DC load forecast value and the preset capacity time period.

Taking into account factors such as the stable operation of the base station and the emergency plan processing, the algorithm can dynamically obtain the backup capacity value of the battery that needs to be locked in advance before daily response. The formula is as follows:

Where: t, t ^start , t ^end are time periods, invitation start and end time periods; Δt is the time period resolution, when 15min is the calculation time interval, the resolution is 0.25h; To meet the power backup time requirement;/> For DC load load forecast;/> For backup capacity requirements.

It should be noted that for base stations, the main function of the battery is to serve as a backup power source to power the equipment in the event of a sudden power outage, and the essence of the core capacity calculation is actually to calculate the accurate capacity of the battery through the core capacity measurement during the discharge process. Therefore, it must be considered that if there is a power outage during the core capacity calculation, the equipment will need to be powered by the battery. It is extremely important to reserve sufficient backup capacity in advance. The core capacity needs to be terminated before the backup capacity is reached, and the battery power should not be overused.

Step B2: Calculate the theoretical response capacity prediction value according to the DC load value within the preset time period and the response capacity activation function.

The calculation formula of the theoretical response capability prediction value (TRA) is as follows:

Among them, f(γ) is the response capacity activation function, and the calculation formula is as follows:

Step B3: Calculate the actual response capability prediction value according to the DC load prediction value of the battery capacity core duration and the response capability activation function.

The actual response ability prediction value (ARA) is calculated as follows:

It is known that f(γ) is the response capability activation function, and the calculation formula is shown in step B2.

Step B4: Determine the comprehensive coefficient of the dynamic response capability threshold based on the theoretical response capability prediction value and the actual response capability prediction value.

According to the theoretical response capacity prediction value and the actual response capacity prediction value calculated in steps B2 and B3, the formula for determining the comprehensive coefficient of the battery is as follows:

Among them, parameters a and b are both adjustable hyperparameters. After the response is completed, the system adjusts the corresponding parameters according to the actual situation to make ψ meet the actual needs, and uses it as a reference coefficient for the real-time participation capability threshold in the daily response participation process.

Step B5: Based on the backup capacity value and the comprehensive coefficient, the dynamic response capability of the battery is evaluated.

In the evaluation formulas of backup power capacity and dynamic response capability, the base station related data or the battery related data are substituted before or after the core capacity calculation to evaluate it. For example, when the core capacity is calculated, the backup power is reached and the core capacity needs to be stopped. According to the predicted ψ value, the base station or battery can be pre-compared according to this value when performing the core capacity. The battery closest to this value has better response capability.

In this embodiment, the dynamic response capability of the battery is determined based on the calculated backup capacity value of the battery, the theoretical response capability prediction value, and the actual response capability prediction value. In other words, the backup power and the comprehensive coefficient are equivalent to scoring the response capability of each battery or base station. If the score is relatively low, it is not suitable for participating in the response. If the score is high, it is more suitable for participating in the response. For example, when the power consumption is high, the battery can be used for response power supply. If the score is low, there is a risk of interruption in the capacity verification. Therefore, the battery is scored before or after the capacity verification. If the comprehensive score is relatively low, it is not suitable for response, which can achieve the effect of reducing the risk of battery response interruption.

In one embodiment, the operation of sending a discharge instruction to the battery, when detecting that the floating charge voltage setting value is equal to the discharge voltage setting value, determines that the battery starts to discharge the core capacity (S104), and the following steps C1-C2 may be performed:

Step C1: issuing a first-level discharge instruction to the battery. If the floating charge voltage setting value remains unchanged within a preset time period, issuing a second-level discharge instruction.

The operation of the first-level discharge instruction includes the electronic device sending a discharge instruction to the battery for the first time.

Check whether the floating charge voltage setting value corresponding to the battery changes within the preset time (such as 5 minutes). If the value remains unchanged after 3 rounds of queries (16 minutes), the second gear discharge instruction is issued. After the second gear discharge instruction is issued, restart the polling. If the floating charge voltage setting value remains unchanged, the verification ends.

Step C2: When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity.

If the first-level discharge instruction is issued, the floating charge voltage setting value is detected to be equal to the discharge voltage setting value, and the query time at this time is recorded as the core capacity start time. If the second-level discharge instruction is issued, the floating charge voltage setting value is detected to be equal to the discharge voltage setting value, and the query time at this time is recorded as the core capacity discharge start time.

It should be noted that after the battery starts to discharge, the core capacity data can be obtained. The switching power supply needs to record the corresponding voltage data and current data at intervals of the core capacity time (such as 5 minutes). If the battery reaches the threshold during the discharge process, the switching power supply will automatically switch to equalization charging; otherwise, when the battery discharge time reaches the system setting time (the upper limit is 3 hours, which can be customized), the electronic device will issue a recovery instruction, which includes:

1) Discharge reaches the threshold: Collect the power gate current and total load current (Itotal) data. If the power gate current changes and meets the threshold for 5 consecutive minutes,

I _gate -0.75×I _total >0

The battery is deemed to be in charging state. The system needs to issue a floating charge voltage recovery command to restore the floating charge voltage to the original set value. At this time, the power supply current mutation time point is recorded as the discharge end time, and the core capacity state is changed to charging.

2) Discharge duration reaches the set duration: When the duration reaches the set value, the system automatically issues a floating charge voltage recovery command. After the floating charge voltage is correctly restored, the time at this time is recorded as the discharge end time, and the core capacity state is changed to charging. In the above process, the electronic device can always obtain the core capacity data required for core capacity calculation.

In this embodiment, when the discharge instruction is issued to the battery, it is divided into two levels to prevent the problem of operational errors in the first issuance of the discharge instruction. When the floating charge voltage setting value remains unchanged after the first-level discharge instruction is issued, the second-level discharge instruction is issued. By observing the changes in the floating charge voltage setting value, it is determined whether the battery core capacity starts to charge other devices, that is, the battery is discharging the core capacity. If the floating charge voltage setting value remains unchanged, the core capacity fails.

In one embodiment, the method further includes a security protection mechanism, which can specifically execute the following steps D1-D2:

Step D1: Obtain data information of a battery and data information of a corresponding battery pack.

The data information includes: one or more information of internal resistance value, voltage value and temperature information.

The alarm mechanism during the capacity calculation process is an important means to ensure that the normal operation of the base station is not affected. The alarm mechanism is always running during the entire capacity calculation and charging and discharging process.

Step D2: Determine the alarm state of the battery by comparing the data information of the battery with the data information of the battery pack, and perform safety protection on the battery based on the alarm state.

The battery data information is compared with the battery pack data information, including the following situations:

1) Internal resistance over-limit alarm: When comparing the internal resistance of the battery with the average internal resistance of the battery pack, an alarm is triggered if the following conditions are met:

When the battery internal resistance value shows the following conditions, an alarm will be triggered:

Where: R is the resistance value, j is the single battery number, i is the measurement order, k is the battery core power, n is the total number of batteries, m is the total number of measurements, θ _high and θ _low are adjustable threshold hyperparameters (θ in each formula is an independent hyperparameter, and the recommended value range is 0<θ<1.5).

2) Voltage over-limit alarm: When the battery is in a specific operating state, its voltage value is compared with the average voltage of the battery group. The alarm will be triggered when the following conditions are met:

The alarm will be triggered when the battery historical voltage value meets the following conditions:

Where: E is the voltage value, j is the single battery number, i is the measurement order, k is the battery core power, n is the total number of batteries, m is the total number of measurements, θ _high and θ _low are adjustable threshold hyperparameters (θ in each formula is an independent hyperparameter, and the recommended value range is 0<θ<1.5).

3) Temperature limit alarm: The pre-set normal standard for the working environment temperature of the battery pack is not more than 35°C. When the temperature of the single battery exceeds 5°C and exceeds the average temperature of the battery pack by 3°C, or the ambient temperature exceeds the normal upper limit, an alarm will be issued.

T _{j ≥Th} + _θ2

T _h ≥ ₃ θ ₃ j∈(1,n)

Wherein: T is the temperature value, Th is the ambient temperature value, j is the single battery number, n is the total number of batteries, θ ₁ , θ ₂ , θ ₃ are adjustable threshold hyperparameters (θ in each formula is an independent hyperparameter).

It will be appreciated that the normal temperature range for a battery when charging is 0°C to 40°C, when discharging is -15°C to 50°C, and when in use is 20°C to 30°C. The system allows for an additional safety temperature limit to be determined based on these ranges.

In this embodiment, by setting up a safety protection mechanism in the base station, there will be no safety hazards in the base station and the corresponding equipment and batteries during the charging and discharging process or the core capacity calculation process. If a problem is found, an alarm can be issued and it can be solved in time to ensure the normal operation of the base station and improve the safety of the system.

In one embodiment, before sending a charging instruction to the battery (ie, S104), the following steps E1-E3 may be performed:

Step E1: During the time period from the core capacity of the battery being discharged to the end of the core capacity discharge, the power supply current of the switching power supply of the battery and the total load current of the battery are obtained.

Step E2: Calculate the current deviation value of the switching power supply according to the power supply current and the total load current.

According to step E1, the power supply current of the battery switching power supply and the total load current of the battery in the time period from the core capacity discharge of the battery to the end of the core capacity discharge are obtained to calculate the current deviation (σI). The specific formula is as follows:

Step E3: When the deviation value is less than a preset threshold, it is determined that the mains power supply is intervened.

Mains intervention includes: discharge of the switching power supply.

If the deviation value Average (σ _I ) is less than 0.6, an alarm is issued and a possible intervention of the mains is recorded. The accuracy of the capacity marking may be affected in the subsequent result statistics.

In this embodiment, in order to ensure that the power supply source during the capacity verification process is the battery as much as possible, reduce the impact of the AC power supply on the gateway data detection, and improve the accuracy of the capacity verification results, it is necessary to determine whether there is a switching power supply discharge (AC power discharge) during the capacity verification process. If there is AC power supply, then in the battery capacity verification assessment, the existence of AC power supply should be noted.

In one embodiment, the battery is charged to the core capacity, and the following steps F1-F3 may also be performed:

Step F1: obtaining the charge current that the battery can carry at any time during the core capacity charging process, and determining the charge current curve within a preset time period during the core capacity charging process.

As shown in Figure 9, it shows the charging acceptance volume relationship diagram, including the gassing area and the acceptance area. The receiving area is under the charging current curve, and normal charging can be performed. Specifically, in the process of charging the battery, it is carried out at a fixed rate. Then, when the charging depth reaches a certain maximum value, the battery will begin to gas and heat up, resulting in a decrease in the charging speed of the battery. If the gassing of the battery is to be minimized during the charging process, the charging current that the battery can receive at any time point t can be expressed by the following expression:

I＝I ₀ e ^-αt

Where: _I0 refers to the maximum value of the initial current at time t0, I is the charging current that the battery can accept at any time, and α refers to the attenuation constant, that is, the charge acceptance ratio.

Step F2: According to the charging current curve, the battery is charged to its core capacity.

According to the charging current curve in step F1, the amount of electricity that has been charged in a specific time can be obtained by calculating the area under the curve from one time point to another time point. The derivation formula is as follows:

In addition, without considering the charging loss, until the battery is fully charged, the amount of charge (C) is equal to the capacity previously released by the battery:

It should be understood that during the battery charging process, the proportion of the initial acceptance is determined by the initial current _I0 and the amount to be charged C. Assuming α is set to 1, the depth of discharge is equivalent to 100%. If the battery is charged according to the charging current that it can carry, corresponding to equation (11), when C reaches the same amount of capacity, the time of the node t will be significantly advanced compared to the standard charging method.

In this embodiment, the maximum current of dynamic charging during the charging process is intelligently determined to ensure that the charging current is always kept within the capacity of the battery, and the battery can be charged quickly, thereby improving the efficiency of battery energy storage.

In one embodiment, before obtaining the floating charge voltage setting value corresponding to the battery in the base station device through the sensor (step S102), the following step G may be performed:

Step G: Acquire key parameters of the base station equipment, and determine the batteries that pass the pre-check by pre-checking the key parameters, wherein the key parameters include data that affect the performance of the base station.

Specifically, the data affecting the performance of the base station includes:

1) Check the 6-hour power outage alarm: Use the data collection granularity of 96 points throughout the day, take the rectifier module current (I _rm ) and the total DC load current (I _DC ) values of each data point within 6 hours, and point α meets the following conditions:

_Irm - _IDC <0

If α>15, that is, the total discharge duration is greater than or equal to 4 hours, it is determined that the base station has a power outage alarm.

2) Dynamic Environment Monitoring Online Status Check: In the base station scenario, the Dynamic Environment Monitoring System (FSU) can detect the key parameters of the base station equipment in real time, such as temperature, humidity, mains power, uninterruptible power supply (UPS), battery, etc., to promptly detect abnormal conditions of the equipment and take corresponding measures immediately, effectively avoiding communication interruptions caused by equipment failures, and providing strong guarantees for the stability and reliability of communications. The implementation of FSU is of great significance to the stable operation and operation and maintenance management of the communication network. Therefore, the online status check of FSU plays a key role in the subsequent parameter collection.

3) Online monitoring of the switching power supply status: As long as the FSU is turned on, the three-phase input voltage, output current, bus voltage, input frequency and all battery parameters can be thoroughly monitored through the intelligent data interface. Through the switching power supply interface, the data is collected into the data collector using bus technology.

4) Check the integrity of key voltage and current information parameters: Determine whether the parameters of the switching power supply, battery and other equipment are complete. For example, core parameters such as DC voltage, total DC load current, rectifier module current, and floating charge voltage setting value.

5) Float charge voltage threshold check

During the battery capacity verification process, it is very important to pre-check the floating charge voltage. By pre-checking the corresponding floating charge voltage of the battery, it can be ensured that the battery can provide stable power support when needed. Therefore, the range can be set to 51-57V. If the floating charge voltage setting value is too low, it is considered unsuitable for capacity verification test.

In this embodiment, through the pre-inspection of the base station equipment, only the batteries corresponding to the equipment that meet the pre-inspection conditions can be used for capacity calculation and charging and discharging operations. It is possible to detect abnormal situations in advance and take corresponding measures immediately, effectively avoiding the interruption of base station operation caused by blind capacity verification. This strategy provides a strong guarantee for the stability and reliability of the base station.

FIG. 10 is a schematic flow chart of a method for evaluating the core capacity of a battery according to another embodiment of the present application. As shown in FIG. 10 , the method includes the following steps:

S1001, obtaining key parameters of the base station equipment, and determining batteries that pass the pre-check by pre-checking the key parameters.

Among them, key parameters include data that affects base station performance.

S1002, calculating the backup capacity and comprehensive coefficient corresponding to the battery.

Among them, the battery can be calculated, and the base station can also be calculated based on the acquired data.

S1003, based on the backup capacity value and the comprehensive coefficient, a dynamic prediction calculation is performed on the battery.

S1004, obtaining a floating charge voltage setting value corresponding to a storage battery in the base station device through a sensor.

S1005, the electronic device sends a first-level discharge instruction to the battery.

The discharge instruction specifically includes adjusting the floating charge voltage setting value to a corresponding discharge voltage setting value.

S1006, within the preset time period, if the floating charge voltage setting value remains unchanged, the operation of issuing a second-level discharge instruction is performed.

S1007, when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity.

The battery begins to discharge its nuclear capacity, that is, the entire battery is turned into power supply for other equipment.

S1008, obtaining core capacity discharge data during the core capacity discharge process.

The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process.

S1009, calculating the core capacity of the battery according to the core capacity discharge data.

It should be noted that the calculation process of the core capacity has no effect on charging and discharging. Even if the core capacity of the battery or base station is not calculated, charging and discharging operations can be performed.

S1010, obtaining a power supply current of a switching power supply of the battery and a total load current of the battery during a time period from the core capacity of the battery being discharged to the end of the core capacity of the battery being discharged.

S1011, determining the mains power supply intervention status according to the power supply current and the total load current.

S1012, when it is detected that the discharge of the core capacity is completed, a charging instruction is sent to the battery.

S1013, determining that the core capacity charging is completed according to the preset time length, and obtaining the core capacity charging data during the core capacity charging process.

S1014, evaluating the core capacity of the battery based on the core capacity charging data, the core capacity discharging data and the core capacity.

Based on the data of the charging and discharging process, and the calculated core capacity, the battery can be accurately evaluated. For example, an evaluation report can be generated to facilitate the operation of the battery and the corresponding base station.

The specific process from S1001 to S1014 has been described in detail in the above embodiment and will not be repeated here.

It should be noted that the capacity verification process has a detailed logical flow. As an example, as shown in Figure 11, it is a capacity verification business logic flow chart, which shows the detailed capacity verification process during the capacity verification process. Specifically, select the capacity verification target, such as base station batteries, etc., and conduct a capacity verification pre-inspection. If the pre-inspection fails and there is a problem, an alarm will occur and the capacity verification will fail. It can continue after adjustment; save the voltage information corresponding to the current capacity verification target, and issue the first-level instruction. After 16 minutes, check whether the floating charge voltage setting value in the voltage information corresponding to the current capacity verification target is adjusted to the discharge charging voltage setting value. If adjusted, perform discharge processing and record the corresponding voltage data and current data every 5 minutes. If not adjusted, issue the second-level instruction. After 16 minutes, continue to check whether the floating charge voltage setting value is adjusted to the discharge charging voltage setting value. If the floating charge voltage setting value is not adjusted, the capacity verification fails and the voltage adjustment fails. If the floating charge voltage setting value is adjusted to the discharge charge voltage setting value, the corresponding voltage data and current data information are recorded every 5 minutes; after the discharge is completed, the battery discharge is converted to charging. If the discharge time reaches the preset threshold or is within the preset threshold, the discharge is terminated, the time point is recorded, and the floating charge voltage setting value is restored; and the intervention of the mains is judged. If intervention is made, an alarm is issued and the problem is described, and a battery charging instruction is issued. If the recovery is not successful, an alarm is issued. If the recovery is successful, the battery is charged; the capacity verification is completed and the discharge is successful.

Adopting the technical solution of the embodiment of the present application, the floating charge voltage value setting value corresponding to the battery in the base station equipment is obtained through the sensor, and the discharge instruction is sent to the battery. When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity, and the core capacity discharge data during the core capacity discharge process is obtained. The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; according to the core capacity discharge data, the core capacity of the battery is calculated. When the core capacity discharge is detected to be completed, the charging instruction is sent to the battery. According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data during the core capacity charging process is obtained. Based on the core capacity charging data, the core capacity discharge data and the core capacity, the core capacity of the battery is evaluated. Among them, by calculating the battery core capacity, the discharge capacity of the battery is effectively evaluated, various battery data are obtained through sensors, and the battery charging and discharging process is intelligently processed remotely. There is no need for personnel to measure the battery performance on site. Different types of batteries can be tested to improve the detection efficiency. Moreover, through the data of the battery charging and discharging process and the calculation of the battery core capacity, the battery performance and core capacity can be fully considered, which can solve the problem of low accuracy in evaluating the battery core capacity.

In summary, specific embodiments of the present subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recorded in the claims can be performed in a different order and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing can be advantageous.

The above is a method for evaluating the core capacity of a battery provided in an embodiment of the present application. Based on the same idea, an embodiment of the present application also provides a device for evaluating the core capacity of a battery.

Fig. 12 is a schematic diagram of the structure of a battery core capacity assessment device according to an embodiment of the present invention. As shown in Fig. 12, the battery core capacity assessment device includes: a first acquisition module 121, a discharge module 122, a second acquisition module 123, a core capacity calculation module 124, a charging module 125, a third acquisition module 126, and an assessment module 127.

The first acquisition module 121 is used to acquire a floating charge voltage setting value corresponding to a battery in a base station device through a sensor;

The discharge module 122 is used to send a discharge instruction to the battery, and when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity;

The second acquisition module 123 is used to acquire the core capacity discharge data during the core capacity discharge process, where the core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process;

The core capacity calculation module 124 is used to calculate the core capacity of the battery according to the core capacity discharge data;

The charging module 125 is used to send a charging instruction to the battery when the core capacity discharge is detected to be completed, and to determine that the battery is charged to the core capacity when the floating charge voltage value is detected to be equal to the charging voltage setting value;

The third acquisition module 126 is used to determine that the core capacity charging is completed according to the preset time length, and then obtain the core capacity charging data during the core capacity charging process;

The evaluation module 127 is used to evaluate the core capacity of the battery based on the core capacity charging data, the core capacity discharging data and the core capacity.

In one embodiment, the core capacity calculation module 124 includes:

A first calculation unit is used to determine the core capacity information of the battery by using a ladder calculation method and according to the core capacity discharge data, wherein the core capacity information includes the core capacity calculated by using the ladder algorithm;

The second calculation unit is used to determine the actual capacity, the remaining capacity and the rated capacity of the battery according to the nuclear capacity discharge data and the nuclear capacity information of the battery and using the remaining capacity prediction algorithm;

The determination unit is used to determine the core capacity of the battery according to the actual capacity, the remaining capacity and the rated capacity.

In one embodiment, the device further comprises a response measurement module:

A third calculation unit, used to calculate the backup capacity value of the battery according to the DC load prediction value and the preset core capacity time period;

A fourth calculation unit, used to calculate a theoretical response capacity prediction value according to a DC load value within a preset time period and a response capacity activation function;

a fifth calculation unit, configured to calculate an actual response capability prediction value according to a DC load prediction value of a battery core capacity duration and a response capability activation function;

a sixth calculation unit, used to determine a comprehensive coefficient of a dynamic response capability threshold according to a theoretical response capability prediction value and an actual response capability prediction value;

The measuring unit is used to evaluate the dynamic response capability of the battery based on the backup capacity value and the comprehensive coefficient.

In one embodiment, the discharge module 122 includes:

The operation of sending a first-level discharge instruction to the battery, and if the floating charge voltage setting value remains unchanged within a preset time period, the operation of sending a second-level discharge instruction;

When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge its core capacity.

In one embodiment, the device further includes: a security protection module, which can specifically execute:

A first acquisition unit, used to acquire data information of a battery and data information of a corresponding battery pack, wherein the data information includes: one or more of an internal resistance value, a voltage value and temperature information;

The protection unit is used to determine the alarm state of the battery by comparing the data information of the battery with the data information of the battery group, so as to perform safety protection on the battery based on the alarm state.

In one embodiment, the device further includes: a mains power intervention module, which can specifically execute:

A second acquisition unit is used to acquire the power supply current of the switching power supply of the battery and the total load current of the battery during the period from the core capacity of the battery to the end of the core capacity discharge;

The deviation unit is used to calculate the current deviation value of the switching power supply according to the power supply current and the total load current;

The determination unit is used to determine that the mains power supply is intervened when the deviation value is less than a preset threshold value.

In one embodiment, the charging module 125 further includes:

Obtain the charging current that the battery can carry at any time during the core capacity charging process, and determine the charging current curve within a preset time period during the core capacity charging process;

According to the charging current curve, the battery is charged to its core capacity.

Adopting the technical solution of the embodiment of the present application, the floating charge voltage value setting value corresponding to the battery in the base station equipment is obtained through the sensor, and the discharge instruction is sent to the battery. When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity, and the core capacity discharge data during the core capacity discharge process is obtained. The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; according to the core capacity discharge data, the core capacity of the battery is calculated. When the core capacity discharge is detected to be completed, the charging instruction is sent to the battery. According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data during the core capacity charging process is obtained. Based on the core capacity charging data, the core capacity of the battery is evaluated. Among them, by calculating the battery core capacity, the discharge capacity of the battery is effectively evaluated, various battery data are obtained through sensors, and the battery charging and discharging process is intelligently processed remotely. There is no need for personnel to measure the battery performance on site. Different types of batteries can be tested to improve the detection efficiency. Moreover, through the data of the battery charging and discharging process and the calculation of the battery core capacity, the battery performance and core capacity can be fully considered, which can solve the problem of low accuracy in evaluating the battery core capacity.

Those skilled in the art should understand that the battery core capacity assessment device in Figure 12 can be used to implement the battery core capacity assessment method described above, and the detailed description should be similar to the description of the method part above. To avoid tediousness, it will not be repeated here.

The above is a method for evaluating the nuclear capacity of a battery provided in an embodiment of the present application. Based on the same idea, an embodiment of the present application also provides a system for evaluating the nuclear capacity of a battery.

The battery capacity assessment system is used to perform the following steps:

Obtain the floating charge voltage setting value corresponding to the battery in the base station equipment through the sensor;

An operation of sending a discharge instruction to the battery, when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity;

Acquire the core capacity discharge data during the core capacity discharge process, the core capacity discharge data including: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process;

Calculate the core capacity of the battery based on the core capacity discharge data;

When the core capacity discharge is detected to be complete, a charging instruction is sent to the battery, and when the floating charge voltage value is detected to be equal to the charging voltage setting value, the battery is determined to be charged to the core capacity;

According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data in the core capacity charging process is obtained;

The core capacity of the battery is evaluated based on the core capacity charging data, core capacity discharging data and core capacity.

Those skilled in the art should understand that the battery capacity evaluation system can be used to implement the battery capacity evaluation method described above, and the detailed description should be similar to the method description above, and will not be repeated here to avoid redundancy.

Adopting the technical solution of the embodiment of the present application, the floating charge voltage value setting value corresponding to the battery in the base station equipment is obtained through the sensor, and the discharge instruction is sent to the battery. When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity, and the core capacity discharge data during the core capacity discharge process is obtained. The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; according to the core capacity discharge data, the core capacity of the battery is calculated. When the core capacity discharge is detected to be completed, the charging instruction is sent to the battery. According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data during the core capacity charging process is obtained. Based on the core capacity charging data, the core capacity of the battery is evaluated. Among them, by calculating the battery core capacity, the discharge capacity of the battery is effectively evaluated, various battery data are obtained through sensors, and the battery charging and discharging process is intelligently processed remotely. There is no need for personnel to measure the battery performance on site. Different types of batteries can be tested to improve the detection efficiency. Moreover, through the data of the battery charging and discharging process and the calculation of the battery core capacity, the battery performance and core capacity can be fully considered, which can solve the problem of low accuracy in evaluating the battery core capacity.

Based on the same technical concept, an embodiment of the present application also provides an electronic device, which is used to execute the above-mentioned battery capacity evaluation method. Figure 13 is a structural schematic diagram of an electronic device that implements various embodiments of the present application. Electronic devices may have relatively large differences due to different configurations or performances, and may include a processor (processor) 1310, a communication interface (Communications Interface) 1320, a memory (memory) 1330 and a communication bus 1340, wherein the processor 1310, the communication interface 1320, and the memory 1330 communicate with each other through the communication bus 1340. The processor 1310 can call a computer program stored in the memory 1330 and can be run on the processor 1310 to perform the following steps:

Obtain the floating charge voltage setting value corresponding to the battery in the base station equipment through the sensor;

An operation of sending a discharge instruction to the battery, when it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity;

Acquire the core capacity discharge data during the core capacity discharge process, the core capacity discharge data including: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process;

Calculate the core capacity of the battery based on the core capacity discharge data;

When the core capacity discharge is detected to be complete, a charging instruction is sent to the battery, and when the floating charge voltage value is detected to be equal to the charging voltage setting value, the battery is determined to be charged to the core capacity;

According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data in the core capacity charging process is obtained;

The core capacity of the battery is evaluated based on the core capacity charging data, core capacity discharging data and core capacity.

Adopting the technical solution of the embodiment of the present application, the floating charge voltage value setting value corresponding to the battery in the base station equipment is obtained through the sensor, and the discharge instruction is sent to the battery. When it is detected that the floating charge voltage setting value is equal to the discharge voltage setting value, it is determined that the battery starts to discharge the core capacity, and the core capacity discharge data during the core capacity discharge process is obtained. The core capacity discharge data includes: one or more of the core capacity time, voltage data and current data of the battery during the core capacity discharge process; according to the core capacity discharge data, the core capacity of the battery is calculated. When the core capacity discharge is detected to be completed, the charging instruction is sent to the battery. According to the preset time, it is determined that the core capacity charging is completed, and the core capacity charging data during the core capacity charging process is obtained. Based on the core capacity charging data, the core capacity of the battery is evaluated. Among them, by calculating the battery core capacity, the discharge capacity of the battery is effectively evaluated, various battery data are obtained through sensors, and the battery charging and discharging process is intelligently processed remotely. There is no need for personnel to measure the battery performance on site. Different types of batteries can be tested to improve the detection efficiency. Moreover, through the data of the battery charging and discharging process and the calculation of the battery core capacity, the battery performance and core capacity can be fully considered, which can solve the problem of low accuracy in evaluating the battery core capacity.

The specific execution steps can refer to the various steps of the above-mentioned embodiment of the battery core capacity evaluation method, and can achieve the same technical effect. To avoid repetition, they will not be repeated here.

It should be noted that the electronic devices in the embodiments of the present application include: servers, terminals or other devices except terminals.

The above electronic device structure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, the input unit may include a graphics processing unit (GPU) and a microphone, and the display unit may be configured with a display panel in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit includes a touch panel and at least one of other input devices. The touch panel is also called a touch screen. Other input devices may include, but are not limited to, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

The memory can be used to store software programs and various data. The memory may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory may include a volatile memory or a non-volatile memory, or the memory may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DRRAM).

The processor may include one or more processing units; optionally, the processor integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to the operating system, user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor.

An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned battery core capacity assessment method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned battery core capacity assessment method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be noted that the scope of the method and device in the embodiment of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims (10)

1. A method for evaluating the nuclear capacity of a battery, the method comprising:

Acquiring a floating charge voltage value set value corresponding to a storage battery in base station equipment through a sensor;

An operation of sending a discharge instruction to the storage battery, and determining that the storage battery starts nuclear capacity discharge when detecting that the floating charge voltage set value is equal to a discharge voltage set value;

Acquiring nuclear capacity discharge data in the nuclear capacity discharge process, wherein the nuclear capacity discharge data comprises: one or more of the nuclear capacity time, voltage data and current data of the storage battery in the nuclear capacity discharging process;

calculating the nuclear capacity of the storage battery according to the nuclear capacity discharge data;

When the detection of the nuclear capacity discharging is completed, sending a charging instruction to the storage battery, and when the detection of the floating charging voltage value is equal to a charging voltage set value, determining that the storage battery carries out nuclear capacity charging;

According to the preset duration, the core volume charging is determined to be completed, and core volume charging data in the core volume charging process are obtained;

and evaluating the nuclear capacity condition of the storage battery based on the nuclear capacity charging data, the nuclear capacity discharging data and the nuclear capacity.

2. The method of claim 1, wherein calculating the nuclear capacity of the battery from the nuclear capacity discharge data comprises:

determining nuclear capacity information of the storage battery according to the nuclear capacity discharge data by using a ladder calculation method, wherein the nuclear capacity information comprises nuclear capacity calculated by using the ladder calculation method;

determining the actual capacity, the residual capacity and the rated capacity of the storage battery by using a residual capacity prediction algorithm according to the nuclear capacity discharge data and the nuclear capacity information of the storage battery;

And determining the nuclear capacity of the storage battery according to the actual capacity, the residual capacity and the rated capacity.

3. The method according to claim 1, wherein before the step of obtaining the float voltage value set value corresponding to the storage battery in the base station device by the sensor, the method comprises:

according to the direct current load predicted value and a preset nuclear capacity time period, calculating a backup capacity value of the storage battery;

calculating the predicted value of the theoretical response capability according to the direct current load value in a preset time period and the response capability activation function;

Calculating the actual response capacity predicted value according to the direct current load predicted value of the storage battery core capacity duration and a response capacity activation function;

Determining the comprehensive coefficient of the dynamic response capacity threshold according to the theoretical response capacity predicted value and the actual response capacity predicted value;

and carrying out dynamic response capability assessment on the storage battery based on the standby capacitance value and the comprehensive coefficient.

4. The method of claim 1, wherein the act of sending a discharge command to the battery, when detecting that the float voltage set point is equal to a discharge voltage set point, determining that the battery is beginning to undergo nuclear discharge comprises:

the operation of issuing a first gear discharging instruction to the storage battery, and the operation of issuing a second gear discharging instruction when the floating charge voltage set value is unchanged in a preset time period;

and when the floating charge voltage set value is detected to be equal to the discharge voltage set value, determining that the storage battery starts nuclear capacity discharge.

5. The method according to claim 1, characterized in that it comprises: safety protection mechanism:

acquiring data information of the storage battery and data information of a corresponding storage battery pack, wherein the data information comprises: one or more of the internal resistance value, the voltage value, and the temperature information;

And comparing the data information of the storage battery with the data information of the storage battery pack to determine the alarm state of the storage battery so as to carry out safety protection on the storage battery based on the alarm state.

6. The method of claim 1, wherein prior to the operation of sending a charge command to the battery, comprising:

acquiring the power supply current of a switching power supply of the storage battery and the total load current of the storage battery in a period from the nuclear capacity discharge of the storage battery to the end of the nuclear capacity discharge;

Calculating a current deviation degree value of the switching power supply according to the power supply current and the total load current;

and when the deviation value is smaller than a preset threshold value, determining mains supply intervention.

7. The method of claim 1, wherein the battery performs nuclear capacity charging, comprising:

Acquiring the chargeable charging current of the storage battery at any moment in the nuclear capacity charging process, and determining a charging current curve in a preset time period in the nuclear capacity charging process;

and according to the charging current curve, carrying out nuclear capacity charging on the storage battery.

8. A nuclear capacity assessment device for a storage battery, the device comprising:

The first acquisition module is used for acquiring a floating charge voltage value set value corresponding to the storage battery in the base station equipment through the sensor;

The discharging module is used for sending a discharging instruction to the storage battery, and determining that the storage battery starts nuclear capacity discharging when the floating charge voltage set value is detected to be equal to the discharging voltage set value;

The second obtaining module is configured to obtain nuclear capacity discharge data in the nuclear capacity discharge process, where the nuclear capacity discharge data includes: one or more of the nuclear capacity time, voltage data and current data of the storage battery in the nuclear capacity discharging process;

the nuclear capacity calculation module is used for calculating the nuclear capacity of the storage battery according to the nuclear capacity discharge data;

the charging module is used for sending a charging instruction to the storage battery when the nuclear capacity discharging is detected to be completed, and determining the storage battery to carry out nuclear capacity charging when the floating charging voltage value is detected to be equal to a charging voltage set value;

The third acquisition module is used for acquiring the nuclear capacity charging data in the nuclear capacity charging process according to the preset duration after the completion of the nuclear capacity charging;

And the evaluation module is used for evaluating the nuclear capacity condition of the storage battery based on the nuclear capacity charging data, the nuclear capacity discharging data and the nuclear capacity.

9. An electronic device comprising a processor and a memory electrically connected to the processor, the memory storing a computer program, the processor being configured to invoke and execute the computer program from the memory to implement a method of assessing the nuclear capacity of a battery as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program executable by a processor to implement the method of assessing the nuclear capacity of a battery as claimed in any one of claims 1 to 7.