CN114740366A - Method and device for determining SOC (state of charge) of battery cell in battery pack - Google Patents
Method and device for determining SOC (state of charge) of battery cell in battery pack Download PDFInfo
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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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The application provides a method and a device for determining the SOC of a battery cell in a battery pack, wherein the method comprises the following steps: the method comprises the steps of obtaining a target voltage, a target temperature and a target aging condition of a target battery cell, inputting the target voltage, the target temperature and the target aging condition into a battery cell residual capacity SOC determination model to obtain a residual capacity SOC of the target battery cell, and training the battery cell residual capacity SOC determination model according to a training voltage, a training temperature and a training aging condition of a battery pack.
Description
Technical Field
The invention relates to the field of energy, in particular to a method and a device for determining the SOC of a battery cell residual electric quantity in a battery pack.
Background
With the technological development of the current society, more and more fields utilize battery packs as power supply energy. The battery pack comprises a plurality of battery cores, and the plurality of battery cores are concentrated to supply power to the outside. For example, a battery pack may include 95 cells.
In a current Battery Management System (BMS), data of a Battery pack, such as a voltage, a temperature, or a State of Charge (SOC) of the Battery pack, is collected in real time during a power supply process of the Battery pack. But there is no reference to the SOC of each cell in the battery pack, resulting in an undeterminable SOC for each cell.
Therefore, there is currently a need for determining the SOC of each cell in a battery pack.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and an apparatus for determining an SOC of a battery cell in a battery pack, which are capable of determining an SOC of each battery cell in the battery pack, so as to perform abnormality detection on the battery cell by using the SOC of each battery cell.
The embodiment of the application provides a method for determining the SOC of a battery cell in a battery pack, which comprises the following steps:
acquiring a target voltage, a target temperature and a target aging condition of a target battery cell;
and inputting the target voltage, the target temperature and the target aging condition into a cell residual capacity SOC (state of charge) determination model to obtain the residual capacity SOC of the target cell, wherein the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature and the training aging condition of the battery pack.
Optionally, the training process comprises:
acquiring the minimum voltage, the maximum voltage, the median voltage and the average voltage of the battery pack;
determining a training voltage which has the largest correlation with the residual capacity of the battery pack in the minimum voltage, the maximum voltage, the middle voltage and the average voltage;
acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack;
determining the minimum temperature, the maximum temperature, the median temperature and the average temperature as training temperatures with the maximum correlation with the remaining capacity of the battery pack.
Optionally, the obtaining the minimum temperature, the maximum temperature, the median temperature, and the average temperature of the battery pack includes:
determining a cell serial number corresponding to each cell of a plurality of cells;
converting the cell serial number corresponding to each cell into a corresponding temperature probe serial number;
and acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack according to the serial numbers of the plurality of temperature probes.
Optionally, the method further comprises:
acquiring fixed conditions of a battery pack, wherein the fixed conditions comprise the current of the battery pack and the capacity of a battery charged in a preset time interval;
and inputting the target voltage, the target temperature, the target aging condition and the fixed condition into the cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, wherein the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature, the training aging condition and the fixed condition of the battery pack.
Optionally, the target aging condition includes a driving mileage of a vehicle to which the battery pack belongs, a number of cycles of full charge of the battery pack, and a total accumulated charged battery capacity.
The embodiment of the present application further provides a device for determining a remaining battery capacity SOC of a battery cell in a battery pack, where the device includes:
the first acquisition unit is used for acquiring a target voltage, a target temperature and a target aging condition of a target battery cell;
the first input unit is used for inputting the target voltage, the target temperature and the target aging condition into a cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, and the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature and the training aging condition of the battery pack.
Optionally, the apparatus further comprises:
the second acquisition unit is used for acquiring the minimum voltage, the maximum voltage, the median voltage and the average voltage of the battery pack;
the first determining unit is used for determining that the training voltage with the maximum correlation with the residual capacity of the battery pack in the minimum voltage, the maximum voltage, the middle voltage and the average voltage is the training voltage;
the third acquisition unit is used for acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack;
and a second determining unit, configured to determine that a training temperature, which has the greatest correlation with the remaining power of the battery pack, is among the minimum temperature, the maximum temperature, the median temperature, and the average temperature.
Optionally, the third obtaining unit is specifically configured to:
determining a cell serial number corresponding to each cell of a plurality of cells;
converting the cell serial number corresponding to each cell into a corresponding temperature probe serial number;
and acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack according to the serial numbers of the plurality of temperature probes.
Optionally, the method further comprises:
a fourth acquiring unit for acquiring a fixed condition of a battery pack, the fixed condition including a current of the battery pack and a capacity of a battery charged at a predetermined time interval;
and the second input unit is used for inputting the target voltage, the target temperature, the target aging condition and the fixed condition into the cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, and the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature, the training aging condition and the fixed condition of the battery pack.
Optionally, the target aging condition includes a driving mileage of a vehicle to which the battery pack belongs, a number of cycles of full charge of the battery pack, and a total accumulated charged battery capacity.
The embodiment of the application provides a method for determining the SOC of the residual electric quantity of an electric core in a battery pack, which comprises the following steps: the method comprises the steps of obtaining a target voltage, a target temperature and a target aging condition of a target battery cell, inputting the target voltage, the target temperature and the target aging condition into a battery cell residual capacity SOC determination model to obtain a residual capacity SOC of the target battery cell, and training the battery cell residual capacity SOC determination model according to training voltages, training temperatures and training aging conditions of a plurality of battery cells.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 illustrates a schematic flow chart of a method for determining a remaining battery capacity SOC of a battery pack according to an embodiment of the present application;
fig. 2 shows a schematic structural diagram of a device for determining a battery cell remaining capacity SOC in a battery pack according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein, and it will be apparent to those of ordinary skill in the art that the present application is not limited by the specific embodiments disclosed below.
With the technological development of the current society, more and more fields utilize battery packs as power supply energy. For example, an electric vehicle uses a battery pack as a power source. The battery pack comprises a plurality of battery cores, and the plurality of battery cores are concentrated to supply power to the outside. For example, a battery pack may include 95 cells.
In a current Battery Management System (BMS), data of a Battery pack, such as voltage, temperature, or remaining power (SOC) of the Battery pack, called as national standard RTM data, may be collected in real time during a power supply process of the Battery pack, and may be used for subsequent analysis of the Battery pack. But there is no reference to the SOC of each cell in the battery pack, resulting in an undeterminable SOC for each cell.
Therefore, only the remaining battery pack capacity pack _ SOC is included in the current RTM data, and there is a determination requirement for the SOC of each cell in the battery pack.
Based on this, the embodiment of the application provides a method for determining the SOC of a battery cell in a battery pack, and the method includes: the method comprises the steps of obtaining a target voltage, a target temperature and a target aging condition of a target battery cell, inputting the target voltage, the target temperature and the target aging condition into a battery cell residual capacity SOC determination model to obtain a residual capacity SOC of the target battery cell, and training the battery cell residual capacity SOC determination model according to training voltages, training temperatures and training aging conditions of a plurality of battery cells.
For better understanding of the technical solutions and effects of the present application, specific embodiments will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, the figure is a flowchart of a method for determining a battery cell remaining capacity SOC in a battery pack according to an embodiment of the present application. The method for determining the SOC of the battery cell in the battery pack can be applied to the battery pack, each battery pack comprises a plurality of battery cells, and each battery cell is an electrochemical material battery cell comprising a positive electrode and a negative electrode. For example, 96 cells may be included in one battery pack. The battery pack comprises a sealing shell for sealing a plurality of battery cells in the battery pack.
S101, acquiring a target voltage, a target temperature and a target aging condition of a target battery cell.
In the embodiment of the application, the target battery cell may be any one of a plurality of battery cells in a battery pack, and the target voltage, the target temperature and the target aging condition of the battery cell are acquired, and may be specifically acquired from national standard RTM data.
The target aging condition comprises the driving mileage of a vehicle to which the battery pack belongs, the number of cycles of full charge of the battery pack, and the total accumulated charged battery capacity, wherein the number of cycles of full charge of the battery pack refers to the number of times that the battery pack is fully charged, and the unit of the total accumulated charged battery capacity is ampere hour (Ah).
And S102, inputting the target voltage, the target temperature and the target aging condition into the cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell.
In the embodiment of the application, after the target voltage, the target temperature and the target aging condition are obtained, the target voltage, the target temperature and the target aging condition are input into a cell residual capacity SOC determination model obtained through pre-training, and the output result of the model is the residual capacity SOC of the target cell.
In the embodiment of the application, the cell residual capacity SOC determination model is obtained by training the training voltage, the training temperature and the training aging condition of the battery pack, when training is carried out, the training voltage, the training temperature and the training aging condition of the battery pack are input into the cell residual capacity SOC determination model, and the output result is fitted with the residual capacity pack _ SOC of the battery pack so as to train the model parameters of the cell residual capacity SOC determination model.
In the embodiment of the application, the target aging condition is a characteristic parameter input after the training of the remaining power SOC determination model is completed, the training aging condition is a characteristic parameter input during the training of the remaining power SOC determination model, and in practical application, for the battery cells in the same battery pack, the parameters of the target aging condition and the training aging condition may be the same.
The training voltage and the training temperature of the battery pack can be determined using the following 2 ways:
the first possible method is that when the manufacturer of the battery pack provides the calculation method of the cell voltage used when the BMS estimates the residual capacity pack _ SOC of the battery pack in advance, and when the calculation method of the cell temperature used when the BMS estimates the residual capacity pack _ SOC of the battery pack in advance, the training voltage and the training temperature are calculated according to the calculation method provided by the manufacturer in advance.
A second possible way is to determine the training voltage and the training temperature by correlation analysis. Specifically, the minimum voltage, the maximum voltage, the median voltage and the average voltage of the battery pack may be obtained, and then the minimum voltage, the maximum voltage, the median voltage and the average voltage that have the largest correlation with the remaining capacity pack _ SOC of the battery pack are determined as the training voltages, that is, correlation coefficients with the remaining capacity pack _ SOC of the battery pack in the minimum voltage, the maximum voltage, the median voltage and the average voltage are respectively calculated, and the correlation coefficient that has the largest correlation coefficient is determined as the training voltages.
Correspondingly, the training temperature is determined to be similar to the training voltage, the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack can be obtained, then correlation coefficients of the minimum temperature, the maximum temperature, the median temperature and the average temperature and the residual power pack _ SOC of the battery pack are respectively calculated, and the maximum correlation coefficient is determined to be the training temperature.
In the embodiment of the application, the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack can be obtained by detecting with a temperature probe corresponding to the battery core. In practical application, usually, a plurality of battery cells correspond to the same temperature probe, for example, one battery pack includes 96 battery cells and 24 probes, and then on average, 4 battery cells correspond to the same temperature probe, so when acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack, the battery cell serial number corresponding to each battery cell of the plurality of battery cells in the battery pack can be determined, the battery cell serial number corresponding to each battery cell is converted into the corresponding temperature probe serial number, that is, the corresponding temperature probe serial number is determined according to the battery cell serial number, and then the minimum temperature, the maximum temperature, the median temperature and the average temperature of each battery cell are acquired according to the temperature probe corresponding to the temperature probe serial number, so as to obtain the temperature arrays of the plurality of battery cells.
In practical application, because a plurality of battery cells correspond to the same temperature probe, the temperature data repetition condition of a plurality of battery cells exists, at the moment, the temperature data of the battery pack can be obtained by directly using the temperature probe data statistics in the RTM data, the data volume can be reduced, and the complexity of data processing is reduced.
In the embodiment of the application, when the model training is performed, in order to better fit the pack _ SOC, a fixed condition of the battery pack may also be obtained, where the fixed condition includes a current of the battery pack and a battery capacity charged in a predetermined time interval. The battery capacity (Ah) charged in the predetermined time interval may be the battery capacity charged between the collection intervals between each RTM data, or the battery capacity charged between the collection intervals between a plurality of RTM data, for example, the battery capacity charged between the collection intervals between 10 pieces of data.
The fixed conditions of the battery pack can also be input into the cell residual capacity SOC determination model, namely, the cell residual capacity SOC determination model is trained by using the training voltage, the training temperature, the training aging conditions and the fixed conditions of the battery pack, so that the pack _ SOC can be better fitted.
And inputting the target voltage, the target temperature, the target aging condition and the fixed condition into the cell residual capacity SOC determination model after the training is finished to obtain the residual capacity SOC of the target cell, wherein if the derived characteristics of the voltage and the temperature of the target cell are involved in the fixed condition, the target voltage and the target temperature of the target cell are used for replacing the training voltage and the training temperature to calculate the derived characteristics.
Therefore, according to the method for determining the SOC of the battery cell in the battery pack, the SOC of each battery cell does not need to be additionally and independently acquired, the SOC of the battery cell is obtained only by using RTM data in national standards and a pure data drive training model, and the SOC can be used as an analysis basis for calculating the State of Health (SOH) of the battery cell or abnormal detection of the battery cell.
The embodiment of the application provides a method for determining the SOC of a battery cell residual electric quantity in a battery pack, which comprises the following steps: the method comprises the steps of obtaining a target voltage, a target temperature and a target aging condition of a target battery cell, inputting the target voltage, the target temperature and the target aging condition into a battery cell residual capacity SOC determination model to obtain a residual capacity SOC of the target battery cell, and training the battery cell residual capacity SOC determination model according to a training voltage, a training temperature and a training aging condition of a battery pack.
Based on the method for determining the SOC of the battery cell in the battery pack provided by the above embodiment, the embodiment of the present application further provides a device for determining the SOC of the battery cell in the battery pack, and the working principle is described in detail below with reference to the accompanying drawings.
Referring to fig. 2, the figure is a schematic structural diagram of a device for determining a battery cell remaining capacity SOC in a battery pack according to an embodiment of the present application.
The apparatus 200 for determining the SOC of a battery cell in a battery pack provided by the embodiment of the present application includes:
a first obtaining unit 210, configured to obtain a target voltage, a target temperature, and a target aging condition of a target cell;
the first input unit 220 is configured to input the target voltage, the target temperature, and the target aging condition into a cell remaining capacity SOC determination model to obtain a remaining capacity SOC of the target cell, where the cell remaining capacity SOC determination model is obtained by training according to a training voltage, a training temperature, and a training aging condition of a battery pack.
Optionally, the apparatus further comprises:
the second acquisition unit is used for acquiring the minimum voltage, the maximum voltage, the median voltage and the average voltage of the battery pack;
the first determining unit is used for determining that the training voltage with the maximum correlation with the residual capacity of the battery pack in the minimum voltage, the maximum voltage, the middle voltage and the average voltage is the training voltage;
the third acquisition unit is used for acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack;
and a second determining unit, configured to determine that a training temperature, which has the greatest correlation with the remaining power of the battery pack, is among the minimum temperature, the maximum temperature, the median temperature, and the average temperature.
Optionally, the third obtaining unit is specifically configured to:
determining a cell serial number corresponding to each cell of a plurality of cells;
converting the cell serial number corresponding to each cell into a corresponding temperature probe serial number;
and acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack according to the serial numbers of the plurality of temperature probes.
Optionally, the method further comprises:
a fourth acquiring unit configured to acquire a fixed condition of a battery pack, the fixed condition including a current of the battery pack and a battery capacity charged in a predetermined time interval;
and the second input unit is used for inputting the target voltage, the target temperature, the target aging condition and the fixed condition into the cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, and the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature, the training aging condition and the fixed condition of the battery pack.
Optionally, the target aging condition includes a driving mileage of a vehicle to which the battery pack belongs, a number of cycles of full charge of the battery pack, and a total accumulated charged battery capacity.
When introducing elements of various embodiments of the present application, the articles "a," "an," "the," and "said" are intended to mean that there are one or more of the elements. The terms "comprising," "including," and "having" are intended to be inclusive and mean that there may be additional elements other than the listed elements.
It should be noted that, as one of ordinary skill in the art would understand, all or part of the processes of the above method embodiments may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when executed, the computer program may include the processes 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 (RAM), or the like.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, and the units and modules described as separate components may or may not be physically separate. In addition, some or all of the units and modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing is merely a preferred embodiment of the present application and, although the present application discloses the foregoing preferred embodiments, the present application is not limited thereto. Those skilled in the art can make numerous possible variations and modifications to the disclosed solution, or modify it to equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the claimed solution. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application still fall within the protection scope of the technical solution of the present application without departing from the content of the technical solution of the present application.
Claims (10)
1. A method for determining the SOC of a battery cell in a battery pack is characterized by comprising the following steps:
acquiring a target voltage, a target temperature and a target aging condition of a target battery cell;
and inputting the target voltage, the target temperature and the target aging condition into a cell residual capacity SOC (state of charge) determination model to obtain the residual capacity SOC of the target cell, wherein the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature and the training aging condition of the battery pack.
2. The method of claim 1, wherein the training process comprises:
acquiring the minimum voltage, the maximum voltage, the median voltage and the average voltage of the battery pack;
determining a training voltage which has the largest correlation with the residual capacity of the battery pack in the minimum voltage, the maximum voltage, the middle voltage and the average voltage;
acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack;
determining the minimum temperature, the maximum temperature, the median temperature and the average temperature as training temperatures with the maximum correlation with the remaining capacity of the battery pack.
3. The method of claim 2, wherein the obtaining the minimum temperature, the maximum temperature, the median temperature, and the average temperature of the battery pack comprises:
determining a cell serial number corresponding to each cell of a plurality of cells;
converting the cell serial number corresponding to each cell into a corresponding temperature probe serial number;
and acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack according to the serial numbers of the plurality of temperature probes.
4. The method of claim 1, further comprising:
acquiring fixed conditions of a battery pack, wherein the fixed conditions comprise the current of the battery pack and the capacity of a battery charged in a preset time interval;
and inputting the target voltage, the target temperature, the target aging condition and the fixed condition into the cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, wherein the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature, the training aging condition and the fixed condition of the battery pack.
5. The method of any one of claims 1-4, wherein the target aging conditions include a driving range of a vehicle to which the battery pack belongs, a number of cycles for which the battery pack is fully charged, and a total accumulated charged battery capacity.
6. A device for determining the SOC of a battery cell in a battery pack is characterized by comprising:
the first acquisition unit is used for acquiring a target voltage, a target temperature and a target aging condition of a target battery cell;
the first input unit is used for inputting the target voltage, the target temperature and the target aging condition into a cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, and the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature and the training aging condition of the battery pack.
7. The apparatus of claim 6, further comprising:
the second acquisition unit is used for acquiring the minimum voltage, the maximum voltage, the middle voltage and the average voltage of the battery pack;
the first determining unit is used for determining that the training voltage with the maximum correlation with the residual capacity of the battery pack in the minimum voltage, the maximum voltage, the middle voltage and the average voltage is the training voltage;
a third acquiring unit, configured to acquire a minimum temperature, a maximum temperature, a median temperature, and an average temperature of the battery pack;
and a second determining unit, configured to determine that a training temperature, which has the greatest correlation with the remaining power of the battery pack, is among the minimum temperature, the maximum temperature, the median temperature, and the average temperature.
8. The apparatus according to claim 7, wherein the third obtaining unit is specifically configured to:
determining a cell serial number corresponding to each cell of a plurality of cells;
converting the cell serial number corresponding to each cell into a corresponding temperature probe serial number;
and acquiring the minimum temperature, the maximum temperature, the median temperature and the average temperature of the battery pack according to the serial numbers of the plurality of temperature probes.
9. The apparatus of claim 6, further comprising:
a fourth acquiring unit for acquiring a fixed condition of a battery pack, the fixed condition including a current of the battery pack and a capacity of a battery charged at a predetermined time interval;
and the second input unit is used for inputting the target voltage, the target temperature, the target aging condition and the fixed condition into the cell residual capacity SOC determination model to obtain the residual capacity SOC of the target cell, and the cell residual capacity SOC determination model is obtained by training according to the training voltage, the training temperature, the training aging condition and the fixed condition of the battery pack.
10. The apparatus of any one of claims 6-9, wherein the target aging condition includes a driving mileage of a vehicle to which the battery pack belongs, a number of cycles of full charge of the battery pack, and a total accumulated charged battery capacity.
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| CN202210493376.5A CN114740366A (en) | 2022-05-07 | 2022-05-07 | Method and device for determining SOC (state of charge) of battery cell in battery pack |
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| CN202210493376.5A CN114740366A (en) | 2022-05-07 | 2022-05-07 | Method and device for determining SOC (state of charge) of battery cell in battery pack |
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