CN115476722A - A battery management control method and device - Google Patents

Abstract

The present application provides a battery management control method and device, the method comprising: acquiring the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car, and the real-time battery temperature of the target car; , cumulative running time, running mode, real-time battery temperature and the preset health state estimation model to estimate the battery health state value of the target car; according to the pre-built multi-dimensional index dynamic table look-up model, battery health state value, cumulative mileage, cumulative Run time, run mode, real-time battery temperature, and determine control parameters; perform full life cycle battery management control on the battery of the target car according to the control parameters. It can be seen that this method can conduct data monitoring in all aspects and comprehensively evaluate the battery status, so as to accurately control the battery, which in turn is beneficial to improve the operating life of the battery.

Description

A battery management control method and device

technical field

The present application relates to the technical field of batteries, and in particular, to a battery management control method and device.

Background technique

New energy vehicles are one of my country's strategic new industries, which play an important role in promoting the application of renewable energy and improving the development of electrified transportation. Facing the advent of the era of vehicle electrification, how to improve the battery life in the whole life cycle of the power battery and improve the efficiency of battery use have become the main topics of concern. The life reference quantities of lithium-ion batteries mainly include cycle life and calendar life. As the power battery of pure electric vehicles increases with the number of times and service life, its available power and electrical performance will decline. In order to better extend battery life, BMS needs to have The management function of the whole life cycle of the battery system. In the existing battery management control methods, the battery control scheme is usually optimized from the aspect of a single index influencing factor, so as to improve the service life of the battery. However, it has been found in practice that the existing methods are prone to inaccurate evaluation results due to a single evaluation system, which affects the accuracy of battery management and control, thereby affecting the operating life of the battery.

Contents of the invention

The purpose of the embodiments of the present application is to provide a battery management control method and device, which can monitor data in all aspects and evaluate battery status comprehensively, so as to accurately manage and control the battery, thereby improving the operating life of the battery.

The first aspect of the embodiment of the present application provides a battery management control method, including:

Acquiring the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the real-time battery temperature of the target car;

Estimate the battery state of health value of the target car based on the accumulated mileage, the accumulated running time, the operating mode, the real-time battery temperature and a preset state of health estimation model;

Determine the control parameters according to the pre-built multi-dimensional index dynamic table look-up model, the battery health status value, the accumulated mileage, the accumulated running time, the operating mode, and the real-time battery temperature;

Performing full-life cycle battery management control on the battery of the target vehicle according to the control parameters.

In the above implementation process, the method can preferentially obtain the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car, and the real-time battery temperature of the target car; and then based on the cumulative mileage, cumulative running time, The operating mode, real-time battery temperature and preset health state estimation model estimate the battery health state value of the target car; then, according to the pre-built multi-dimensional index dynamic table lookup model, battery health state value, cumulative mileage, cumulative running time, The operating mode, real-time battery temperature, and control parameters are determined; finally, the battery management control of the target car's battery is carried out throughout the life cycle according to the control parameters. It can be seen that this method can conduct data monitoring in all aspects and comprehensively evaluate the battery status, so as to accurately control the battery, which in turn is beneficial to improve the operating life of the battery.

Further, the acquisition of the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the real-time battery temperature of the target car includes:

Obtaining the storage value of the battery management system, wherein the storage value of the battery management system includes the accumulated discharge capacity, the average power consumption, and the offline time of the battery pack;

calculating the cumulative mileage of the target vehicle according to the average power consumption and the cumulative discharge;

Calculate the cumulative running time of the target car battery pack according to the off-line time of the battery pack;

Detecting the operating mode of the target vehicle;

The real-time battery temperature of the target car is collected through a temperature collection module.

Further, the detection of the running mode of the target car includes:

Obtain the charging state and external temperature of the target car;

judging whether the target vehicle is in the battery charging process according to the state of charge;

If yes, determining the state of charge mode of the target vehicle according to the state of charge;

An operating mode of the target vehicle is determined according to the state-of-charge mode.

Further, the method also includes:

When it is determined according to the state of charge that the target car is not in the process of battery charging, determine the driving state mode of the target car according to the state of charge and the external temperature;

The running mode of the target vehicle is determined according to the driving state mode.

Further, the control parameters include one or more of upper and lower limits of capacity, capacity retention rate, charging rate, discharge power, coolant flow rate, and cooling/heating power.

The second aspect of the embodiment of the present application provides a battery management control device, and the battery management control device includes:

An acquisition unit, configured to acquire the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the real-time battery temperature of the target car;

An estimating unit, configured to estimate the battery state of health value of the target vehicle based on the accumulated mileage, the accumulated running time, the operating mode, the real-time battery temperature and a preset state of health estimation model;

A determination unit, configured to determine control parameters according to the pre-built multi-dimensional index dynamic table lookup model, the battery health status value, the accumulated mileage, the accumulated running time, the operating mode, and the real-time battery temperature ;

A control unit, configured to perform full-life cycle battery management control on the battery of the target vehicle according to the control parameters.

In the above implementation process, the device can obtain the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car, and the real-time battery temperature of the target car through the acquisition unit; , cumulative running time, running mode, real-time battery temperature and the preset health state estimation model to estimate the battery health state value of the target car; by determining the unit to dynamically look up the table model, battery health state value, cumulative The mileage, cumulative running time, running mode, and real-time battery temperature determine the control parameters; through the control unit, the battery of the target car is controlled for full life cycle battery management according to the control parameters. It can be seen that the device can conduct data monitoring in all aspects and comprehensively evaluate the battery status, so as to accurately control the battery, which in turn is beneficial to improve the operating life of the battery.

Further, the acquisition unit includes:

The obtaining subunit is used to obtain the storage value of the battery management system, wherein the storage value of the battery management system includes the accumulated discharge capacity, the average power consumption, and the offline time of the battery pack;

A calculation subunit, configured to calculate the cumulative mileage of the target car according to the average power consumption and the accumulated discharge capacity; and calculate the cumulative running time of the battery pack of the target car according to the off-line time of the battery pack;

A detection subunit for detecting the running mode of the target vehicle;

The collection subunit is used to collect the real-time battery temperature of the target car through the temperature collection module.

Further, the detection subunit includes:

An acquisition module, configured to acquire the state of charge and the external temperature of the target car;

A judging module, configured to judge whether the target car is in the charging process of the battery according to the charging state;

A determination module, configured to determine a state of charge mode of the target vehicle according to the state of charge when it is determined that the target vehicle is in the process of battery charging; and determine an operating mode of the target vehicle according to the state of charge mode.

Further, the determination module is also used to determine the driving state mode of the target car according to the charging state and the external temperature when it is judged that the target car is not in the process of battery charging; and according to the The driving state mode determines the running mode of the target vehicle.

Further, the control parameters include one or more of upper and lower limits of capacity, capacity retention rate, charging rate, discharge power, coolant flow rate, and cooling/heating power.

The third aspect of the embodiment of the present application provides an electronic device, including a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program so that the electronic device executes the first step of the embodiment of the present application. The battery management control method described in any one aspect.

The fourth aspect of the embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are read and executed by a processor, any one of the first aspects of the embodiments of the application is executed. The battery management control method described in the item.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the accompanying drawings that need to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, so It should not be regarded as a limitation on the scope, and those skilled in the art can also obtain other related drawings according to these drawings without creative work.

FIG. 1 is a schematic flowchart of a battery management control method provided in an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a battery management control device provided in an embodiment of the present application;

Fig. 3 is a functional block diagram of a full life cycle management control provided by the embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

Example 1

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a battery management control method provided by an embodiment of the present application. Wherein, the battery management control method includes:

S101. Obtain the stored value of the battery management system; the stored value of the battery management system includes accumulated discharge capacity, average power consumption, and offline time of the battery pack.

S102. Calculate the cumulative mileage of the target vehicle according to the average power consumption and the cumulative discharge capacity.

In this embodiment, the method can obtain the accumulative mileage L of the electric vehicle through the mileage calculation module of the BMS.

S103. Calculate the cumulative running time of the battery pack of the target vehicle according to the off-line time of the battery pack.

In this embodiment, the method can obtain the offline time of the battery pack, and calculate the accumulative running time t of the battery pack through the BMS time calculation module.

S104. Obtain the state of charge and the external temperature of the target vehicle.

S105. Determine whether the target vehicle is in the charging process of the battery according to the charging state, if yes, execute step S106; if not, execute step S108.

S106. Determine the charging state mode of the target vehicle according to the charging state.

S107. Determine the running mode of the target vehicle according to the state of charge mode, and execute step S110.

S108. Determine the driving state mode of the target vehicle according to the state of charge and the external temperature.

S109. Determine the running mode of the target vehicle according to the driving state mode, and execute step S110.

S110. Collect the real-time battery temperature of the target vehicle through the temperature collection module.

S111. Estimate the battery health status value of the target vehicle based on the accumulated mileage, the accumulated running time, the operation mode, the real-time battery temperature and the preset health status estimation model.

In this embodiment, the method can use the battery health state estimation module to obtain the battery health state value in real time through the BMS (commonly known as battery nanny or battery steward) according to the health state estimation model.

In this embodiment, the method can judge the operation mode of the electric vehicle through the temperature detection module, and set the corresponding temperature threshold by detecting the external temperature and the temperature of the battery pack module, the driving condition of the vehicle, the charging state and other operating scenarios, and dynamically Determine the vehicle operating mode. By triggering different temperature thresholds, the dynamic operating mode is divided into summer mode, winter mode and normal mode.

S112. Determine control parameters according to the pre-built multi-dimensional index dynamic table look-up model, battery health status value, accumulated mileage, accumulated running time, operating mode, and real-time battery temperature.

In this embodiment, the control parameters include one or more of upper and lower limits of capacity, capacity retention rate, charging rate, discharge power, cooling liquid flow rate, and cooling/heating power.

S113. Perform full-life cycle battery management control on the battery of the target vehicle according to the control parameters.

In this embodiment, the method can collect the battery temperature in real time through the temperature acquisition module, dynamically optimize and control the flow of coolant, cooling, heating power, etc. by optimizing the thermal management control strategy, control the battery temperature threshold, and control the battery temperature at a reasonable level. Use the temperature range to avoid the battery temperature being too high or too low and the temperature difference being too large.

In this embodiment, the method can perform error correction on battery health state estimation based on mileage, running time, and temperature, configure different weight coefficients to obtain battery health state SOH, establish a dynamic multi-dimensional look-up table model, and obtain vehicle electric battery The upper and lower limits of the available capacity range, charge rate output, and output discharge power under different operating stages and different working conditions, to ensure that the available power range, charging rate, and discharge power of the vehicle are controlled under different working conditions.

Please refer to FIG. 3 . FIG. 3 shows a functional block diagram of a full life cycle management control.

For example, the cumulative discharge amount Q is calculated by the voltage U and current I of the BMS during the operation of the vehicle, and the average power consumption is obtained from the big data of the vehicle operation to obtain the average power consumption E _avg , and the cumulative mileage L of the vehicle is obtained to represent cycle life;

The current running time t of the battery is used to represent the calendar life, and the final calculated time can only increase monotonically; where, t=t _now -t _BOL ;

计算Δt内外温平均值T_avg，当环境温度T_avg＞T时判断是否进入夏季模式，环境温度T_avg＜T1时进入冬季模式，环境温度T_avg处于T1与T之间，进入普通模式；Among them, winter and summer and normal mode processing methods: enter the charging mode waiting time Δt _min , take Δt=t ₂ -t ₁ , the sum of internal and external temperatures

Calculate the average value T _avg of the internal and external temperature of Δt, and judge whether to enter the summer mode when the ambient temperature T _avg > T, enter the winter mode when the ambient temperature T _avg < T1, and enter the normal mode when the ambient temperature T _avg is between T1 and T;

Then estimate the SOH state model based on the characteristic parameters of the battery differential capacity, and estimate the SOH value online;

Then monitor the battery temperature T _b in real time. When the battery temperature T _b ≥ T _max , turn on the cooling function request, and when the battery temperature T _b ≤ T _min , turn on the heating request. According to the charging and driving conditions, dynamically adjust the heating and cooling temperature threshold, target coolant temperature request and flow request;

Then, based on the mileage information, running time, temperature and other parameter values to correct the model to estimate the SOH value, the first component of the battery life cycle control SOH _Date = W1*SOH _L +W2*SOH _t +W3*SOH _T +W4; among them,

W1+W2+W3+W4=1*SOH _BMS ;

Then establish a multi-dimensional index dynamic look-up model, according to different proportional weight systems, corresponding output optimized dynamic control parameters, such as the upper and lower limits of available capacity, capacity retention rate, charging rate, discharge power, coolant flow, cooling/heating power Control parameters.

In this embodiment, the technical problem to be solved in this application is that the BMS considers the battery service time, the cumulative mileage calculation module, characterizes the cycle life of the battery, detects the external temperature through the temperature detection module, and obtains the health of the battery cell through the SOH calculation module State, by establishing a multi-dimensional dynamic index model and dynamically setting the proportional weight according to the vehicle recognition scene, the real-time control of the available power charge and discharge depth of the power battery during the battery life cycle operation process, control the battery charge rate and select the optimal thermal management Control strategy, dynamically extract the optimal control strategy and control parameters, under the premise of ensuring the performance of the whole vehicle, control the battery temperature within a reasonable temperature range to ensure that each battery cell can exert its maximum performance, so as to protect the battery And the purpose of improving battery life.

In this embodiment, the execution subject of the method may be a computing device such as a computer or a server, which is not limited in this embodiment.

In this embodiment, the execution subject of the method may also be a smart device such as a smart phone or a tablet computer, which is not limited in this embodiment.

It can be seen that implementing the battery management control method described in this embodiment can calculate multiple indicators such as battery operating mileage, operating time, temperature, operating mode, and BMS, such as SOH value, and by establishing a multi-dimensional model and setting multi-dimensional weight coefficients. The most accurate battery health status can be obtained in real time at all stages of vehicle operation to the greatest extent possible, and the service life of the battery can be optimized; it can also be based on the full life cycle battery management control method in different user scenarios, and multi-dimensional target factor control indicators , to control the battery's available power range, charge rate, discharge power, combined with thermal management control strategies, so as to better optimize battery life, battery reliability and durability.

Example 2

Please refer to FIG. 2 . FIG. 2 is a schematic structural diagram of a battery management control device provided in an embodiment of the present application. As shown in Figure 2, the battery management control device includes:

The acquisition unit 210 is used to acquire the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the real-time battery temperature of the target car;

An estimating unit 220, configured to estimate the battery health status value of the target vehicle based on the cumulative mileage, cumulative running time, running mode, real-time battery temperature and a preset health status estimation model;

The determination unit 230 is used to determine the control parameters according to the pre-built multi-dimensional index dynamic table look-up model, battery health status value, accumulated mileage, accumulated running time, operating mode, and real-time battery temperature;

The control unit 240 is configured to perform full life cycle battery management control on the battery of the target vehicle according to the control parameters.

As an optional implementation manner, the obtaining unit 210 includes:

The acquiring subunit 211 is configured to acquire the storage value of the battery management system, wherein the storage value of the battery management system includes the accumulated discharge capacity, the average power consumption, and the offline time of the battery pack;

The calculation subunit 212 is used to calculate the cumulative mileage of the target car according to the average power consumption and the cumulative discharge capacity; and calculate the cumulative running time of the battery pack of the target car according to the off-line time of the battery pack;

The detection subunit 213 is used to detect the running mode of the target car;

The acquisition subunit 214 is used to acquire the real-time battery temperature of the target vehicle through the temperature acquisition module.

As an optional implementation manner, the detection subunit 213 includes:

The obtaining module is used to obtain the state of charge and the external temperature of the target car;

A judging module, used to judge whether the target car is in the battery charging process according to the charging state;

The determining module is used for determining the charging state mode of the target car according to the charging state when it is judged that the target car is in the battery charging process; and determining the running mode of the target car according to the charging state mode.

As an optional implementation, the determination module is also used to determine the driving state mode of the target car according to the charging state and the external temperature when it is determined that the target car is not in the battery charging process; and determine the target car according to the driving state mode. The operating mode of the car.

In this embodiment, the control parameters include one or more of upper and lower limits of capacity, capacity retention rate, charging rate, discharge power, cooling liquid flow rate, and cooling/heating power.

In this embodiment, for the explanation of the battery management control device, reference may be made to the description in Embodiment 1, which will not be repeated in this embodiment.

It can be seen that the implementation of the battery management control device described in this embodiment can calculate multiple indicators such as the SOH value through the battery operating mileage, operating time, temperature, operating mode, and BMS. By establishing a multi-dimensional model and setting multi-dimensional weight coefficients, The most accurate battery health status can be obtained in real time at all stages of vehicle operation to the greatest extent possible, and the service life of the battery can be optimized; it can also be based on the full life cycle battery management control method in different user scenarios, and multi-dimensional target factor control indicators , to control the battery's available power range, charge rate, discharge power, combined with thermal management control strategies, so as to better optimize battery life, battery reliability and durability.

An embodiment of the present application provides an electronic device, including a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the battery in Embodiment 1 of the present application. Administrative control methods.

An embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are read and executed by a processor, the battery management control method in Embodiment 1 of the present application is executed.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may also be implemented in other ways. The device embodiments described above are only illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functions and possible implementations of devices, methods and computer program products according to multiple embodiments of the present application. operate. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or part of code that includes one or more Executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions.

In addition, each functional module in each embodiment of the present application may be integrated to form an independent part, each module may exist independently, or two or more modules may be integrated to form an independent part.

If the functions are realized in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

The above descriptions are only examples of the present application, and are not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and changes may be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application. It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

The above is only a specific implementation of the application, but the scope of protection of the application is not limited thereto. Anyone familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the application. Should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Claims (10)

1. A battery management control method, comprising: Acquiring the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the real-time battery temperature of the target car; Estimate the battery state of health value of the target car based on the accumulated mileage, the accumulated running time, the operating mode, the real-time battery temperature and a preset state of health estimation model; Determine the control parameters according to the pre-built multi-dimensional index dynamic table look-up model, the battery health status value, the accumulated mileage, the accumulated running time, the operating mode, and the real-time battery temperature; Performing full-life cycle battery management control on the battery of the target vehicle according to the control parameters. 2. The battery management control method according to claim 1, characterized in that the acquisition of the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the target Real-time battery temperature of the car, including: Obtaining the storage value of the battery management system, wherein the storage value of the battery management system includes the accumulated discharge capacity, the average power consumption, and the offline time of the battery pack; calculating the cumulative mileage of the target vehicle according to the average power consumption and the cumulative discharge; Calculate the cumulative running time of the target car battery pack according to the off-line time of the battery pack; Detecting the operating mode of the target vehicle; The real-time battery temperature of the target car is collected through a temperature collection module. 3. The battery management control method according to claim 2, wherein the detecting the operating mode of the target vehicle comprises: Obtain the state of charge and external temperature of the target car; judging whether the target vehicle is in the charging process of the battery according to the state of charge; If yes, determining the state of charge mode of the target vehicle according to the state of charge; An operating mode of the target vehicle is determined according to the state-of-charge mode. 4. The battery management control method according to claim 3, further comprising: When it is determined according to the state of charge that the target car is not in the process of battery charging, determine the driving state mode of the target car according to the state of charge and the external temperature; The running mode of the target vehicle is determined according to the driving state mode. 5. The battery management control method according to claim 1, wherein the control parameters include one of upper and lower limits of capacity, capacity retention rate, charge rate, discharge power, coolant flow rate, cooling/heating power or Various. 6. A battery management control device, characterized in that the battery management control device comprises: An acquisition unit, configured to acquire the cumulative mileage of the target car, the cumulative running time of the battery pack of the target car, the operating mode of the target car and the real-time battery temperature of the target car; An estimating unit, configured to estimate the battery state of health value of the target vehicle based on the accumulated mileage, the accumulated running time, the operating mode, the real-time battery temperature and a preset state of health estimation model; A determination unit, configured to determine control parameters according to the pre-built multi-dimensional index dynamic table lookup model, the battery health status value, the accumulated mileage, the accumulated running time, the operating mode, and the real-time battery temperature ; A control unit, configured to perform full-life cycle battery management control on the battery of the target vehicle according to the control parameters. 7. The battery management control device according to claim 6, wherein the acquiring unit comprises: The obtaining subunit is used to obtain the storage value of the battery management system, wherein the storage value of the battery management system includes the accumulated discharge capacity, the average power consumption, and the offline time of the battery pack; A calculation subunit, configured to calculate the cumulative mileage of the target car according to the average power consumption and the accumulated discharge capacity; and calculate the cumulative running time of the battery pack of the target car according to the off-line time of the battery pack; A detection subunit for detecting the running mode of the target vehicle; The collection subunit is used to collect the real-time battery temperature of the target car through the temperature collection module. 8. The battery management control device according to claim 7, wherein the detection subunit comprises: An acquisition module, configured to acquire the state of charge and the external temperature of the target car; A judging module, configured to judge whether the target car is in the charging process of the battery according to the charging state; A determining module, configured to determine the charging state mode of the target car according to the charging state when it is determined that the target car is in the battery charging process; and determine the operating mode of the target car according to the charging state mode . 9. An electronic device, characterized in that the electronic device comprises a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute claims 1 to 10. The battery management control method described in any one of 5. 10. A readable storage medium, characterized in that computer program instructions are stored in the readable storage medium, and when the computer program instructions are read and executed by a processor, any one of claims 1 to 5 is executed The battery management control method.

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