CN116736127B - Method and device for predicting percentage of residual electric quantity of battery in response to temperature change - Google Patents
Method and device for predicting percentage of residual electric quantity of battery in response to temperature change Download PDFInfo
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- CN116736127B CN116736127B CN202310347992.4A CN202310347992A CN116736127B CN 116736127 B CN116736127 B CN 116736127B CN 202310347992 A CN202310347992 A CN 202310347992A CN 116736127 B CN116736127 B CN 116736127B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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Abstract
The invention provides a method and a device for predicting the percentage of the residual electric quantity of a battery for coping with temperature change, comprising the following steps: acquiring a first temperature at the previous moment and a battery residual capacity percentage predicted value at the first temperature; acquiring a current second temperature; if the first temperature is different from the second temperature, acquiring the full-discharge loss of the first battery, the equivalent maximum capacity of the first battery, the full-discharge loss of the second battery and the equivalent maximum capacity of the second battery; predicting the percentage of the residual electric quantity of the battery according to the first temperature, the full-discharge loss of the first battery, the equivalent maximum capacity of the first battery, the second temperature, the full-discharge loss of the second battery, the equivalent maximum capacity of the second battery and the predicted value of the percentage of the residual electric quantity of the battery at the first temperature to obtain a first predicted value; and predicting the percentage of the residual electric quantity of the battery according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain a second predicted value. The invention accurately and comprehensively predicts the percentage of the residual electric quantity of the battery under the temperature change.
Description
Technical Field
The invention relates to the technical field of vehicle-mounted storage batteries, in particular to a method and a device for predicting the percentage of the residual electric quantity of a battery for coping with temperature change.
Background
In the actual driving process of the vehicle, the battery temperature changes due to the influences of environmental temperature changes, engine heating, battery thermal management system heating and the like. At different temperatures, the performance of the battery is also different, e.g., the battery may be less durable in cold environments. Since the battery performance is different at different temperatures, the predicted remaining capacity percentage of the battery at different temperatures is also different, for example, a battery with 10% capacity at room temperature may not discharge at all when the battery is taken to a cold environment, and the remaining capacity percentage of the battery should be changed from 10% to 0%.
Currently, an accurate and comprehensive algorithm is lacking for the problem of predicting the percentage of the remaining battery power under the temperature change.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method and a device for predicting the percentage of the residual electric quantity of a battery for coping with temperature change.
The first aspect of the present invention provides a method for predicting a percentage of remaining battery power in response to a temperature change, comprising: acquiring a first temperature at the previous moment and a battery residual capacity percentage predicted value at the first temperature; acquiring a current second temperature; if the first temperature is different from the second temperature, obtaining a first battery full-discharge loss corresponding to the first temperature, a first battery equivalent maximum capacity corresponding to the first temperature, a second battery full-discharge loss corresponding to the second temperature and a second battery equivalent maximum capacity corresponding to the second temperature; predicting the percentage of the residual electric quantity of the battery according to the first temperature, the full-discharge loss of the first battery, the equivalent maximum capacity of the first battery, the second temperature, the full-discharge loss of the second battery, the equivalent maximum capacity of the second battery and the predicted value of the percentage of the residual electric quantity of the battery at the first temperature to obtain a first predicted value; acquiring battery performance parameters corresponding to the second temperature; and predicting the percentage of the residual electric quantity of the battery according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain a second predicted value.
The beneficial effects are as follows: when the temperature changes, the battery residual capacity percentage is predicted according to the first temperature, the first battery full discharge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full discharge loss, the second battery equivalent maximum capacity and the battery residual capacity percentage predicted value at the first temperature to obtain a first predicted value, the battery residual capacity percentage corresponding to the temperature change can be obtained by combining the change of the temperature and the full discharge loss of the battery under the temperature change, the battery residual capacity percentage corresponding to the temperature change is further obtained by predicting the battery residual capacity percentage according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain a second predicted value, and the second predicted value is obtained according to the battery performance parameter and represents the battery residual capacity when the battery is charged or discharged under the second temperature.
With reference to the first aspect, in a first implementation manner of the first aspect, if the first temperature is the same as the second temperature, the percentage of the remaining battery power is predicted according to the battery performance parameter corresponding to the second temperature and the percentage of the remaining battery power at the first temperature, so as to obtain a third predicted value.
The beneficial effects are as follows: under the condition that the temperature is not changed, the battery residual capacity is also changed due to the charging or discharging of the battery, and of course, if the temperatures are different, the acquired battery performance parameters are also different, the battery residual capacity percentage is predicted by acquiring the battery performance parameters corresponding to the second temperature and combining the battery residual capacity percentage at the first temperature, a third predicted value is obtained, and under the condition that the temperature is not changed, the battery residual capacity percentage is accurately predicted.
With reference to the first aspect, in a second embodiment of the first aspect, the formula for predicting the percentage of remaining battery power according to the first temperature, the first battery full-power loss, the first battery equivalent maximum capacity, the second temperature, the second battery full-power loss, the second battery equivalent maximum capacity, and the percentage of remaining battery power predicted value at the first temperature, to obtain the first predicted value is:
Wherein, T1 and T2 respectively represent a first temperature and a second temperature, SOC T1 represents a battery remaining capacity percentage prediction value at the first temperature, C T1 represents a first battery equivalent maximum capacity at the first temperature, C T2 represents a second battery equivalent maximum capacity at the second temperature, LFD T1 represents a first battery full-discharge loss corresponding to the first temperature, and LFD T2 represents a second battery full-discharge loss corresponding to the second temperature.
The beneficial effects are as follows: and predicting according to the first temperature, the first battery full charge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full charge loss, the second battery equivalent maximum capacity and the battery residual capacity percentage predicted value at the first temperature to obtain a second predicted value, and obtaining the battery residual capacity percentage corresponding to the temperature change by taking the temperature change and the full charge loss of the battery under the temperature change into consideration.
With reference to the first aspect or the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the first battery full-discharge loss, the first battery equivalent maximum capacity, the second battery full-discharge loss, and the second battery equivalent maximum capacity are obtained according to a first preset test.
With reference to the first aspect or the first implementation manner of the first aspect, in a fourth implementation manner of the first aspect, if the temperature is within a preset range, the battery performance parameter corresponding to the temperature is obtained according to a second preset test.
With reference to the fourth embodiment of the first aspect, in a fifth embodiment of the first aspect, if the temperature is outside the preset range, the battery performance parameter corresponding to the temperature is obtained by interpolation or curve fitting.
The beneficial effects are as follows: when the temperature is out of the preset range, battery performance parameters corresponding to the ambient temperature are obtained through interpolation or curve fitting, and different performance parameter obtaining methods corresponding to different temperatures are considered under the condition of all temperatures.
A second aspect of the present invention provides a battery remaining capacity percentage prediction apparatus that handles temperature changes, comprising: the first acquisition module is used for acquiring the first temperature at the previous moment and a battery residual capacity percentage predicted value at the first temperature; the second acquisition module is used for acquiring the current second temperature; the third acquisition module is used for acquiring the first battery full-discharge loss corresponding to the first temperature, the first battery equivalent maximum capacity corresponding to the first temperature, the second battery full-discharge loss corresponding to the second temperature and the second battery equivalent maximum capacity corresponding to the second temperature when the first temperature and the second temperature are different; the first prediction module is used for predicting the percentage of the residual electric quantity of the battery according to the first temperature, the first battery full-discharge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full-discharge loss, the second battery equivalent maximum capacity and the percentage predicted value of the residual electric quantity of the battery at the first temperature to obtain a first predicted value; the fourth acquisition module is used for acquiring battery performance parameters corresponding to the second temperature; and the second prediction module is used for predicting the percentage of the residual electric quantity of the battery according to the battery performance parameter corresponding to the second temperature and the first prediction value to obtain a second prediction value.
The beneficial effects are as follows: when the temperature changes, the battery residual capacity percentage is predicted according to the first temperature, the first battery full discharge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full discharge loss, the second battery equivalent maximum capacity and the battery residual capacity percentage predicted value at the first temperature to obtain a first predicted value, the battery residual capacity percentage corresponding to the temperature change can be obtained by combining the change of the temperature and the full discharge loss of the battery under the temperature change, the battery residual capacity percentage corresponding to the temperature change is further obtained by predicting the battery residual capacity percentage according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain a second predicted value, and the second predicted value is obtained according to the battery performance parameter and represents the battery residual capacity when the battery is charged or discharged under the second temperature.
With reference to the second aspect, in a first embodiment of the second aspect, the first battery full-discharge loss, the first battery equivalent maximum capacity, the second battery full-discharge loss, and the second battery equivalent maximum capacity are obtained according to a first preset test.
A third aspect of the invention provides a computer device comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the method of predicting the percentage of battery remaining charge to account for temperature changes of any one of the first aspect and its alternative embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the method for predicting the percentage of remaining battery power against a temperature change of any one of the first aspect and its alternative embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the prior art solutions, the drawings that are used in the description of the embodiments or the prior art will be briefly described below, and it is apparent that the drawings in the description below are some embodiments of the present invention.
Fig. 1 is a flowchart showing a method for predicting a percentage of remaining battery power against a temperature change according to an embodiment of the present invention;
fig. 2 is a schematic diagram showing a device for predicting a percentage of remaining battery power against temperature change according to an embodiment of the present invention;
fig. 3 shows a schematic hardware structure of a computer device according to an embodiment of the present invention;
Fig. 4 shows a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the terms "first," "second," and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The embodiment of the invention provides a method for predicting the residual capacity percentage of a battery for coping with temperature change, which is shown in fig. 1 and comprises the following steps:
Step S001, obtaining a first temperature at the previous moment and a predicted value of the residual electric quantity percentage of the battery at the first temperature.
In an alternative embodiment, the predicted value of the percentage of the remaining battery power at the first temperature is a result obtained and stored when the remaining battery power algorithm is operated at the previous moment, and when the current percentage of the remaining battery power is predicted, the predicted value of the percentage of the remaining battery power at the previous moment and the predicted value of the percentage of the remaining battery power at the first temperature can be directly obtained.
And S002, acquiring the current second temperature.
Step S003, if the first temperature is different from the second temperature, obtaining a first battery full-discharge loss corresponding to the first temperature, a first battery equivalent maximum capacity corresponding to the first temperature, a second battery full-discharge loss corresponding to the second temperature and a second battery equivalent maximum capacity corresponding to the second temperature.
In an alternative embodiment, the first temperature at the previous moment is compared with the current second temperature, and if the first temperature and the second temperature are different, the temperature is indicated to be changed, and the prediction of the residual capacity percentage of the battery corresponding to the temperature change is performed.
And S004, predicting the percentage of the residual electric quantity of the battery according to the first temperature, the full-discharge loss of the first battery, the equivalent maximum capacity of the first battery, the second temperature, the full-discharge loss of the second battery, the equivalent maximum capacity of the second battery and the predicted value of the percentage of the residual electric quantity of the battery at the first temperature to obtain a first predicted value.
Step S005: and acquiring battery performance parameters corresponding to the second temperature.
And S006, predicting the percentage of the residual electric quantity of the battery according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain a second predicted value.
In an alternative embodiment, the second predicted value is stored for direct acquisition when predicting the remaining battery power percentage at the next moment.
In an alternative embodiment, the method for predicting the remaining battery capacity percentage according to the battery performance parameter corresponding to the second temperature and the first predicted value is an ampere-hour integration method, an extended kalman filtering method and other remaining battery capacity percentage algorithm, and the battery performance parameter required by the algorithm is obtained according to the used remaining battery capacity percentage algorithm, where the battery performance parameter may be, for example, the maximum capacity, the open circuit voltage, the ohmic internal resistance and the like of the battery.
In the embodiment of the invention, when the temperature changes, the battery residual capacity percentage is predicted according to the first temperature, the first battery full discharge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full discharge loss, the second battery equivalent maximum capacity and the battery residual capacity percentage predicted value at the first temperature to obtain the first predicted value, the battery residual capacity percentage corresponding to the temperature changes can be obtained by combining the temperature changes and the full discharge loss of the battery under the temperature changes, the battery residual capacity percentage corresponding to the temperature changes is obtained, the battery residual capacity percentage is predicted according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain the second predicted value, and the second predicted value is obtained according to the battery performance parameter, so that the battery residual capacity percentage during charging or discharging of the battery at the second temperature is represented.
In an alternative embodiment, in the method for predicting the percentage of remaining battery power in response to temperature change according to the embodiment of the present invention, if the first temperature is the same as the second temperature, the percentage of remaining battery power is predicted according to the battery performance parameter corresponding to the second temperature and the percentage of remaining battery power at the first temperature, so as to obtain a third predicted value.
In an alternative embodiment, the first temperature and the second temperature are compared, if the first temperature and the second temperature are the same, the temperature is unchanged, and in the case that the temperature is unchanged, the charge and discharge of the battery also affect the remaining capacity, and the remaining capacity percentage of the battery in the case that the temperature is unchanged is predicted according to the battery performance parameter and the remaining capacity percentage of the battery in the first temperature.
In an alternative embodiment, in the method for predicting the percentage of remaining battery power in response to temperature change according to the present invention, the percentage of remaining battery power is predicted according to the first temperature, the first battery full charge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full charge loss, the second battery equivalent maximum capacity, and the percentage of remaining battery power predicted at the first temperature, and the formula for obtaining the first predicted value is as follows:
Wherein, T1 and T2 respectively represent a first temperature and a second temperature, SOC T1 represents a battery remaining capacity percentage prediction value at the first temperature, C T1 represents a first battery equivalent maximum capacity at the first temperature, C T2 represents a second battery equivalent maximum capacity at the second temperature, LF2 F1 represents a first battery full-discharge loss corresponding to the first temperature, and LFD T2 represents a second battery full-discharge loss corresponding to the second temperature.
In an alternative embodiment, the method for predicting the remaining battery power percentage in response to temperature changes according to the embodiment of the present invention includes obtaining the first full battery loss, the first equivalent maximum battery capacity, the second full battery loss, and the second equivalent maximum battery capacity according to a first preset test.
In an alternative embodiment, the battery may exhibit a reduced available capacity at low temperatures, consisting essentially of three parts: "under-filled", "under-put", and "consumed large".
In an alternative embodiment, "underfilling" refers to the battery not being charged until it has been completely charged, corresponding to "loss of full charge"; "not enough" means that the battery has some more electricity, but has not been discharged, corresponding to "full discharge loss"; "consume large" means that 1Ah electricity is discharged at a low temperature, and the battery capacity actually consumed is more than that of 1Ah electricity at a standard temperature. Therefore, in practical application, the battery capacity used is equivalent capacity corresponding to the standard temperature.
In an alternative embodiment, the first predetermined test is:
The battery in the test is switched between two different temperatures, one of which is a standard temperature, illustratively 25 degrees celsius, the other is a different temperature, illustratively-10 degrees celsius, -20 degrees celsius, several sets of tests are performed, the two temperatures being set as "room temperature" and "low temperature", the specific steps being,
Step 0, a certain amount of electricity exists in the initial state of the battery; step1, placing a battery at a low temperature; step 2, discharging; step 3, placing the battery at room temperature; step 4, continuing discharging; step 5, placing the battery at a low temperature; step 6, fully charging; step 7, placing the battery at room temperature; and 8, continuing full charge.
In an alternative embodiment, during the test step, it is placed at low/room temperature: the temperature is set at the corresponding temperature for a long enough time (such as 24 hours); full charge: means that the charging is performed until the current is less than the off current for a certain time (e.g., half an hour); and (3) discharging: refers to discharging to the off voltage.
In an alternative embodiment, during the test described above, the full discharge loss is the accumulated discharge An Shishu of step 4; the full charge loss is the charge An Shishu accumulated in the step 8; equivalent maximum capacity = battery rated capacity (i.e. room temperature capacity) -full charge loss-full discharge loss.
In an alternative embodiment, in the method for predicting the remaining battery power percentage in response to temperature change according to the embodiment of the present invention, if the temperature is within a preset range, the battery performance parameter corresponding to the temperature is obtained according to a second preset test.
In an alternative embodiment, the second preset test includes a capacity test, a pulse discharge test, etc. for obtaining a battery performance parameter, and a corresponding test is selected according to the battery performance parameter that needs to be obtained.
In an alternative embodiment, in the method for predicting the remaining battery power percentage in response to temperature change according to the embodiment of the present invention, if the temperature is outside the preset range, the battery performance parameter corresponding to the temperature is obtained by interpolation or curve fitting.
The embodiment of the invention provides a battery residual capacity percentage prediction device for coping with temperature change, as shown in fig. 2, comprising the following modules:
the first obtaining module 201 is configured to obtain the first temperature at the previous moment and the predicted value of the percentage of the remaining battery power at the first temperature, and the details are described in the above embodiment in step S001, which is not repeated herein.
The second obtaining module 202 is configured to obtain the current second temperature, and details refer to the description of step S002 in the above embodiment, which is not described herein.
The third obtaining module 203 is configured to obtain, when the first temperature is different from the second temperature, a first full-discharge loss of the battery corresponding to the first temperature, a first equivalent maximum capacity of the battery corresponding to the first temperature, a second full-discharge loss of the battery corresponding to the second temperature, and a second equivalent maximum capacity of the battery corresponding to the second temperature, which are described in step S003 in the above embodiment, and are not described herein again in detail.
The first prediction module 204 is configured to predict the percentage of the remaining battery power according to the first temperature, the first battery full power loss, the first battery equivalent maximum capacity, the second temperature, the second battery full power loss, the second battery equivalent maximum capacity, and the percentage of the remaining battery power at the first temperature to obtain a first predicted value, and the details are described in step S004 in the above embodiment, which is not repeated herein.
The fourth obtaining module 205 is configured to obtain the battery performance parameter corresponding to the second temperature, and details are described in step S005 in the above embodiment, which is not described herein.
The second prediction module 206 is configured to predict the percentage of the remaining battery power according to the battery performance parameter and the first predicted value corresponding to the second temperature to obtain the second predicted value, and details are described in step S006 in the above embodiment, which is not repeated herein.
In the embodiment of the invention, when the temperature changes, the battery residual capacity percentage is predicted according to the first temperature, the first battery full discharge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full discharge loss, the second battery equivalent maximum capacity and the battery residual capacity percentage predicted value at the first temperature to obtain the first predicted value, the battery residual capacity percentage corresponding to the temperature changes can be obtained by combining the temperature changes and the full discharge loss of the battery under the temperature changes, the battery residual capacity percentage corresponding to the temperature changes is obtained, the battery residual capacity percentage is predicted according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain the second predicted value, and the second predicted value is obtained according to the battery performance parameter, so that the battery residual capacity percentage during charging or discharging of the battery at the second temperature is represented.
In an alternative embodiment, the device for predicting the remaining battery power percentage in response to temperature changes according to the embodiment of the present invention is obtained according to a first preset test.
The embodiment of the invention also provides a computer device, and fig. 3 is a schematic diagram of a hardware structure of the computer device according to an exemplary embodiment.
As shown in fig. 3, the device comprises one or more processors 301 and a memory 302, the memory 302 comprising a persistent memory, a volatile memory and a hard disk, one processor 301 being exemplified in fig. 3. The apparatus may further include: an input device 303 and an output device 304.
The processor 301, memory 302, input device 303, and output device 304 may be connected by a bus or other means, for example in fig. 3.
The processor 301 may be a central processing unit (Central Processing Unit, CPU). The Processor 301 may also be other general purpose processors, digital Signal Processors (DSP), application SPECIFIC INTEGRATED Circuits (ASIC), field-Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 302 is used as a non-transitory computer readable storage medium, and includes a persistent memory, a volatile memory, and a hard disk, and may be used to store a non-transitory software program, a non-transitory computer executable program, and a module, such as a program instruction module corresponding to a service management method in an embodiment of the present application. The processor 301 executes various functional applications of the server and data processing, i.e., implements any of the above-described battery remaining capacity percentage prediction methods against temperature changes, by running non-transitory software programs, instructions, and modules stored in the memory 302.
Memory 302 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data, etc., as needed, used as desired. In addition, memory 302 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 302 may optionally include memory located remotely from processor 301, which may be connected to the data processing apparatus via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may receive input numeric or character information and generate key signal inputs related to user settings and function control. The output device 304 may include a display device such as a display screen.
One or more modules are stored in memory 302 that, when executed by one or more processors 301, perform the method as shown in fig. 1.
The product can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details which are not described in detail in the present embodiment can be found in the embodiment shown in fig. 1.
The embodiment of the invention also provides a computer readable storage medium, as shown in fig. 4, in which computer executable instructions 401 are stored, where the computer executable instructions 401 can execute the method for predicting the remaining battery power percentage of the battery corresponding to the temperature change in any of the above method embodiments.
The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a hard disk (HARD DISK DRIVE, HDD), or a Solid state disk (Solid-state-STATE DRIVE, SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (8)
1. A method of predicting a percentage of remaining battery power in response to a temperature change, comprising:
Acquiring a first temperature at the previous moment and a battery residual capacity percentage predicted value at the first temperature;
Acquiring a current second temperature;
If the first temperature is different from the second temperature, acquiring a first battery full-discharge loss corresponding to the first temperature, a first battery equivalent maximum capacity corresponding to the first temperature, a second battery full-discharge loss corresponding to the second temperature and a second battery equivalent maximum capacity corresponding to the second temperature; the first battery full charge loss, the first battery equivalent maximum capacity, the second battery full charge loss and the second battery equivalent maximum capacity are obtained according to a first preset test, wherein the first preset test comprises a certain electric quantity in a battery starting state, the battery is placed at a low temperature, the battery is discharged, the battery is placed at room temperature, the battery is continuously discharged, the battery is placed at the low temperature and is fully charged, the battery is placed at the room temperature, and the battery is continuously fully charged;
predicting the percentage of the residual battery power according to the first temperature, the first battery full charge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full charge loss, the second battery equivalent maximum capacity and the predicted value of the percentage of the residual battery power at the first temperature to obtain a first predicted value;
acquiring battery performance parameters corresponding to the second temperature;
and predicting the percentage of the residual electric quantity of the battery according to the battery performance parameter corresponding to the second temperature and the first predicted value to obtain a second predicted value.
2. The method for predicting the percentage of remaining battery power against a temperature change according to claim 1, wherein,
And if the first temperature is the same as the second temperature, predicting the percentage of the battery residual capacity at the second temperature according to the battery performance parameter corresponding to the second temperature and the percentage of the battery residual capacity at the first temperature to obtain a third predicted value.
3. The method for predicting a percentage of remaining battery power in response to a temperature change according to claim 1, wherein the formula for predicting the percentage of remaining battery power based on the first temperature, the first battery full charge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full charge loss, the second battery equivalent maximum capacity, and the percentage of remaining battery power at the first temperature, yields a first predicted value is:
Wherein, T1 and T2 respectively represent a first temperature and a second temperature, SOC T1 represents a battery remaining capacity percentage prediction value at the first temperature, C T1 represents a first battery equivalent maximum capacity at the first temperature, C T2 represents a second battery equivalent maximum capacity at the second temperature, LFD T1 represents a first battery full-discharge loss corresponding to the first temperature, and LFD T2 represents a second battery full-discharge loss corresponding to the second temperature.
4. The method for predicting the percentage of remaining battery power against a temperature change according to claim 1 or 2, characterized in that,
And if the second temperature is within the preset range, acquiring the battery performance parameter corresponding to the second temperature according to a second preset test.
5. The method for predicting the percentage of remaining battery power against a temperature change according to claim 4, wherein,
And if the second temperature is out of the preset range, the battery performance parameter corresponding to the second temperature is obtained through interpolation or curve fitting.
6. A battery remaining capacity percentage prediction apparatus that deals with a temperature change, comprising:
The first acquisition module is used for acquiring a first temperature at the previous moment and a battery residual capacity percentage predicted value at the first temperature;
the second acquisition module is used for acquiring the current second temperature;
A third obtaining module, configured to obtain a first battery full-charge loss corresponding to the first temperature, a first battery equivalent maximum capacity corresponding to the first temperature, a second battery full-charge loss corresponding to the second temperature, and a second battery equivalent maximum capacity corresponding to the second temperature when the first temperature is different from the second temperature; the first battery full charge loss, the first battery equivalent maximum capacity, the second battery full charge loss and the second battery equivalent maximum capacity are obtained according to a first preset test, wherein the first preset test comprises a certain electric quantity in a battery starting state, the battery is placed at a low temperature, the battery is discharged, the battery is placed at room temperature, the battery is continuously discharged, the battery is placed at the low temperature and is fully charged, the battery is placed at the room temperature, and the battery is continuously fully charged;
The first prediction module is configured to predict a percentage of remaining battery power according to the first temperature, the first battery full-discharge loss, the first battery equivalent maximum capacity, the second temperature, the second battery full-discharge loss, the second battery equivalent maximum capacity, and a percentage of remaining battery power predicted value at the first temperature, so as to obtain a first predicted value;
a fourth obtaining module, configured to obtain a battery performance parameter corresponding to the second temperature;
And the second prediction module is used for predicting the percentage of the residual electric quantity of the battery according to the battery performance parameter corresponding to the second temperature and the first prediction value to obtain a second prediction value.
7. A computer device, comprising:
At least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the method of predicting the percentage of battery remaining charge against a temperature change as recited in any one of claims 1-5.
8. A computer-readable storage medium storing computer instructions for causing a computer to execute the battery remaining amount percentage prediction method against a temperature change according to any one of claims 1 to 5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310347992.4A CN116736127B (en) | 2023-04-03 | 2023-04-03 | Method and device for predicting percentage of residual electric quantity of battery in response to temperature change |
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| CN202310347992.4A CN116736127B (en) | 2023-04-03 | 2023-04-03 | Method and device for predicting percentage of residual electric quantity of battery in response to temperature change |
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| CN116736127A CN116736127A (en) | 2023-09-12 |
| CN116736127B true CN116736127B (en) | 2024-05-28 |
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