Battery management control method and device

Abstract

The present application provides a battery management control method and device, which includes: obtaining the cumulative mileage of a target vehicle, the cumulative operating time of the target vehicle's battery pack, the target vehicle's operating mode, and the target vehicle's real-time battery temperature; estimating the target vehicle's battery health status value based on the cumulative mileage, cumulative operating time, operating mode, real-time battery temperature, and a preset health status estimation model; determining control parameters based on a pre-built multi-dimensional indicator dynamic lookup table model, battery health status value, cumulative mileage, cumulative operating time, operating mode, and real-time battery temperature; and performing full life cycle battery management control on the target vehicle's battery based on the control parameters. It can be seen that this method can perform comprehensive data monitoring and comprehensive battery status assessment, thereby accurately performing battery management and control, which in turn helps to improve the battery's operating life.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a battery management control method and device. Background Art

[0002] New energy vehicles are one of my country's strategic emerging industries, playing a vital role in promoting the application of renewable energy and the development of electrified transportation. With the advent of the electric vehicle era, improving the lifespan of power batteries and enhancing battery efficiency throughout their lifecycle has become a major concern. Lithium-ion battery life references primarily include cycle life and calendar life. As the number of uses and years of service increase, the available power and electrical performance of the power batteries in pure electric vehicles decrease. To further extend battery life, a battery management system (BMS) must be able to manage the battery system throughout its entire lifecycle. Existing battery management and control methods typically optimize battery control solutions based on the influencing factors of a single indicator to improve battery life. However, in practice, existing methods have been found to be prone to inaccurate evaluation results due to a single evaluation system, affecting the accuracy of battery management and control, and thus the battery's operating life. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a battery management control method and device that can perform comprehensive data monitoring and comprehensively evaluate the battery status, thereby accurately managing the battery and thus helping to improve the battery's operating life.

[0004] A first aspect of an embodiment of the present application provides a battery management control method, including:

[0005] Obtaining the cumulative mileage of the target vehicle, the cumulative operating time of the battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle;

[0006] estimating a battery state of health value of the target vehicle based on the accumulated mileage, the accumulated operating time, the operating mode, the real-time battery temperature, and a preset state of health estimation model;

[0007] Determining control parameters based on a pre-built multi-dimensional indicator dynamic lookup model, the battery health status value, the accumulated mileage, the accumulated operating time, the operating mode, and the real-time battery temperature;

[0008] Perform full life cycle battery management control on the battery of the target vehicle according to the control parameters.

[0009] In the above implementation process, the method can prioritize obtaining the target vehicle's cumulative mileage, the cumulative operating time of the target vehicle's battery pack, the target vehicle's operating mode, and the target vehicle's real-time battery temperature; then, based on the cumulative mileage, cumulative operating time, operating mode, real-time battery temperature, and a preset health status estimation model, the target vehicle's battery health status value is estimated; then, based on the pre-built multi-dimensional indicator dynamic lookup model, the battery health status value, the cumulative mileage, the cumulative operating time, the operating mode, and the real-time battery temperature, the control parameters are determined; finally, the target vehicle's battery is managed and controlled throughout its life cycle based on the control parameters. This method can comprehensively monitor data and comprehensively evaluate battery status, thereby accurately managing and controlling the battery, which in turn helps to improve the battery's operating life.

[0010] Furthermore, the obtaining of the cumulative mileage of the target vehicle, the cumulative operating time of the battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle includes:

[0011] Obtaining battery management system storage values, wherein the battery management system storage values include cumulative discharge capacity, average power consumption, and battery pack offline time;

[0012] Calculating the cumulative mileage of the target vehicle based on the average power consumption and the cumulative discharge amount;

[0013] Calculating the cumulative operating time of the target vehicle battery pack according to the offline time of the battery pack;

[0014] detecting an operating mode of the target vehicle;

[0015] The real-time battery temperature of the target vehicle is collected through the temperature collection module.

[0016] Furthermore, the detecting the operating mode of the target vehicle includes:

[0017] Obtaining the charging state and external temperature of the target vehicle;

[0018] Determining whether the target vehicle is in a battery charging process according to the charging status;

[0019] If yes, determining a charging state mode of the target vehicle according to the charging state;

[0020] An operating mode of the target vehicle is determined according to the charging state mode.

[0021] Furthermore, the method further comprises:

[0022] When it is determined according to the charging state that the target vehicle is not in the battery charging process, determining the driving state mode of the target vehicle according to the charging state and the outside temperature;

[0023] The operating mode of the target vehicle is determined according to the driving state mode.

[0024] Furthermore, the control parameters include one or more of the upper and lower limits of capacity, capacity retention rate, charge rate, discharge power, coolant flow rate, and cooling / heating power.

[0025] A second aspect of an embodiment of the present application provides a battery management control device, the battery management control device comprising:

[0026] an acquisition unit, configured to acquire the cumulative mileage of a target vehicle, the cumulative operating time of a battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle;

[0027] an estimating unit, configured to estimate a battery state of health value of the target vehicle based on the accumulated mileage, the accumulated operating time, the operating mode, the real-time battery temperature, and a preset state of health estimation model;

[0028] a determination unit, configured to determine a control parameter based on a pre-built multi-dimensional indicator dynamic lookup model, the battery health status value, the accumulated mileage, the accumulated operating time, the operating mode, and the real-time battery temperature;

[0029] A control unit is used to perform full life cycle battery management control on the battery of the target vehicle according to the control parameters.

[0030] In the above implementation process, the device can obtain the target vehicle's cumulative mileage, the target vehicle's cumulative operating time, the target vehicle's operating mode, and the target vehicle's real-time battery temperature through the acquisition unit; estimate the target vehicle's battery health status value based on the cumulative mileage, cumulative operating time, operating mode, real-time battery temperature, and a preset health status estimation model through the estimation unit; determine the control parameters based on the pre-built multi-dimensional indicator dynamic table lookup model, battery health status value, cumulative mileage, cumulative operating time, operating mode, and real-time battery temperature through the determination unit; and perform full life cycle battery management control on the target vehicle's battery based on the control parameters through the control unit. It can be seen that the device can monitor data in all aspects and comprehensively evaluate the battery status, thereby accurately controlling the battery, which is beneficial to improving the battery's operating life.

[0031] Furthermore, the acquisition unit includes:

[0032] An acquisition subunit, configured to acquire a battery management system storage value, wherein the battery management system storage value includes cumulative discharge capacity, average power consumption, and battery pack offline time;

[0033] a calculation subunit, configured to calculate the cumulative mileage of the target vehicle based on the average power consumption and the cumulative discharge amount; and to calculate the cumulative operating time of the battery pack of the target vehicle based on the offline time of the battery pack;

[0034] a detection subunit, configured to detect an operating mode of the target vehicle;

[0035] The acquisition subunit is used to acquire the real-time battery temperature of the target vehicle through the temperature acquisition module.

[0036] Furthermore, the detection subunit includes:

[0037] An acquisition module, configured to acquire the charging state and external temperature of the target vehicle;

[0038] a judgment module, configured to judge whether the target vehicle is in a battery charging process according to the charging status;

[0039] The determination module is used to determine the charging state mode of the target vehicle according to the charging state when it is determined that the target vehicle is in the battery charging process; and determine the operating mode of the target vehicle according to the charging state mode.

[0040] Furthermore, the determination module is also used to determine the driving state mode of the target vehicle according to the charging state and the outside temperature when it is determined that the target vehicle is not in the battery charging process; and determine the operating mode of the target vehicle according to the driving state mode.

[0041] Furthermore, the control parameters include one or more of the upper and lower limits of capacity, capacity retention rate, charge rate, discharge power, coolant flow rate, and cooling / heating power.

[0042] A third aspect of an embodiment of the present application provides an electronic device, including a memory and a processor, wherein 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 management control method described in any one of the first aspects of the embodiment of the present application.

[0043] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium storing computer program instructions. When the computer program instructions are read and executed by a processor, the battery management control method described in any one of the first aspects of the embodiment of the present application is executed. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 A flowchart of a battery management control method provided in an embodiment of the present application;

[0046] Figure 2 A schematic diagram of the structure of a battery management control device provided in an embodiment of the present application;

[0047] Figure 3 A full life cycle management control function block diagram provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0049] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0050] Example 1

[0051] Please see Figure 1 , Figure 1 A flowchart of a battery management control method is provided for an embodiment of the present application. The battery management control method includes:

[0052] S101. Obtain the stored values of the battery management system; the stored values of the battery management system include the cumulative discharge amount, average power consumption, and battery pack offline time.

[0053] S102: Calculate the cumulative mileage of the target vehicle based on the average power consumption and the cumulative discharge amount.

[0054] In this embodiment, the method can obtain the cumulative mileage L of the electric vehicle through the BMS mileage calculation module.

[0055] S103: Calculate the cumulative operating time of the target vehicle battery pack according to the battery pack offline time.

[0056] In this embodiment, the method can obtain the offline time of the battery pack and calculate the cumulative operating time t of the battery pack through the BMS time calculation module.

[0057] S104: Obtain the charging status and external temperature of the target vehicle.

[0058] S105 , judging whether the target vehicle is in the battery charging process according to the charging status, if so, executing step S106 ; if not, executing step S108 .

[0059] S106: Determine a charging state mode of the target vehicle according to the charging state.

[0060] S107 : Determine the operating mode of the target vehicle according to the charging state mode, and execute step S110 .

[0061] S108: Determine the driving state mode of the target vehicle according to the charging state and the outside temperature.

[0062] S109: Determine the operating mode of the target vehicle according to the driving state mode, and execute step S110.

[0063] S110: Collect the real-time battery temperature of the target vehicle through the temperature collection module.

[0064] S111 , estimating a battery health status value of a target vehicle based on the accumulated mileage, accumulated operating time, operating mode, real-time battery temperature, and a preset health status estimation model.

[0065] In this embodiment, the method can use the battery health status estimation module to estimate the battery health status according to the health status estimation model, and specifically obtain the battery health status value in real time through the BMS (BMS battery system is commonly known as the battery nanny or battery butler).

[0066] In this embodiment, the method uses a temperature detection module to determine the operating mode of an electric vehicle. By detecting the ambient temperature, the battery pack module temperature, the vehicle's driving conditions, the charging status, and other operating scenarios, corresponding temperature thresholds are set to dynamically determine the vehicle's operating mode. By triggering different temperature thresholds, the dynamic operating mode is determined to be summer mode, winter mode, or normal mode.

[0067] S112. Determine control parameters based on a pre-built multi-dimensional indicator dynamic lookup model, battery health status value, cumulative mileage, cumulative operating time, operating mode, and real-time battery temperature.

[0068] In this embodiment, the control parameters include one or more of the upper and lower limits of capacity, capacity retention rate, charge rate, discharge power, coolant flow rate, and cooling / heating power.

[0069] S113. Perform full life cycle battery management control on the battery of the target vehicle according to the control parameters.

[0070] In this embodiment, the method can collect the battery temperature in real time through the temperature acquisition module, and through optimizing the thermal management control strategy, dynamically optimize and control the coolant flow, cooling, heating power, etc., control the battery temperature threshold, and control the battery temperature within a reasonable operating temperature range to avoid the battery temperature being too high or too low and the temperature difference being too large.

[0071] In this embodiment, the method can perform error correction on the battery health status estimation based on mileage, operating time, and temperature, configure different weight coefficients to obtain the battery health status SOH, establish a dynamic multi-dimensional table lookup model, and obtain the upper and lower limits of the available capacity range, charging rate output, and output discharge power of the vehicle electric battery in different operating stages and different operating scenarios, so as to ensure the control of the available power range, charging rate, and discharge power of the vehicle charging and discharging under different operating scenarios.

[0072] See also Figure 3 , Figure 3 A functional block diagram of full life cycle management control is shown.

[0073] For example, the cumulative discharge amount Q is calculated through the voltage U and current I of the BMS during the operation of the vehicle, and the average power consumption E is obtained through the big data of the vehicle operation. avg , get the vehicle's cumulative mileage L to represent the cycle life;

[0074]

[0075] The battery's current operating time t represents the calendar life, and the final calculated time can only increase monotonically; where t = t now -t BOL ;

[0076] Among them, the processing method for winter, summer and normal mode: enter the charging mode and wait for time Δt min , take Δt=t2-t1, the sum of internal and external temperatures Calculate the average internal and external temperature T of Δt avg , when the ambient temperature T avg >T, it is determined whether to enter the summer mode, the ambient temperature T avg <T1 enters winter mode, ambient temperature T avg Between T1 and T, enter normal mode;

[0077]

[0078] Then the SOH state model is estimated based on the battery differential capacity characteristic parameters to estimate the SOH value online;

[0079] Then monitor the battery temperature T in real time b , when the battery temperature T b ≥T max , start the cooling function request, when the battery temperature T b ≤T min When the charging and driving conditions are met, the heating request is turned on. The heating and cooling temperature thresholds, target coolant temperature request and flow request are dynamically adjusted;

[0080] Then, based on the mileage information, operating time, temperature and other parameter values, the model is modified to estimate the SOH value, and the first component SOH is controlled throughout the battery life cycle. Date =W1*SOH L +W2*SOH t +W3*SOH T +W4; among them,

[0081] W1+W2+W3+W4=1*SOH BMS ;

[0082] Then, a dynamic lookup table model for multi-dimensional indicators is established. According to different proportional weight systems, the corresponding output optimized dynamic control parameters are output, such as the upper and lower limits of available capacity, capacity retention rate, charging rate, discharge power, coolant flow, and cooling / heating power control parameters.

[0083] In this embodiment, the technical problem to be solved by this application is that the BMS considers the battery usage time and the cumulative mileage calculation module to characterize the cycle life of the battery, detects the external temperature through the temperature detection module, and obtains the health status of the battery cell through the SOH calculation module. By establishing a multi-dimensional dynamic indicator model and dynamically setting the proportional weight according to the vehicle identification scenario, the available power charge and discharge depth of the power battery is controlled in real time during the operation of the battery throughout its life cycle, the battery charge rate is controlled, and the optimal thermal management control strategy is selected. The optimal control strategy and control parameters are dynamically extracted. Under the premise of ensuring the performance of the entire vehicle, the battery temperature is controlled within a reasonable temperature range to ensure that each battery cell can perform at its maximum performance, so as to achieve the purpose of protecting the battery and improving battery life.

[0084] In this embodiment, the execution subject of the method may be a computing device such as a computer or a server, and this is not limited in this embodiment.

[0085] In this embodiment, the execution subject of the method may also be a smart device such as a smart phone, a tablet computer, etc., which is not limited in this embodiment.

[0086] It can be seen that the implementation of the battery management control method described in this embodiment can obtain the most accurate battery health status in real time at all times of vehicle operation and optimize the battery service life by using multiple indicators such as battery mileage, operating time, temperature, operating mode and BMS calculation of SOH value, through the establishment of a multi-dimensional model and the setting of multi-dimensional weight coefficients. 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, charging rate, discharge power, and combine with thermal management control strategies to better optimize the battery service life and battery reliability and durability.

[0087] Example 2

[0088] Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of a battery management control device provided in an embodiment of the present application. Figure 2 As shown, the battery management control device includes:

[0089] an acquisition unit 210 for acquiring the cumulative mileage of the target vehicle, the cumulative operating time of the battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle;

[0090] an estimation unit 220 for estimating a battery state of health value of a target vehicle based on the accumulated mileage, accumulated operating time, operating mode, real-time battery temperature, and a preset state of health estimation model;

[0091] Determining unit 230, for determining control parameters based on a pre-built multi-dimensional indicator dynamic lookup model, battery health status value, cumulative mileage, cumulative operating time, operating mode, and real-time battery temperature;

[0092] The control unit 240 is used to perform full life cycle battery management control on the battery of the target vehicle according to the control parameters.

[0093] As an optional implementation, the acquiring unit 210 includes:

[0094] An acquisition subunit 211 is used to acquire battery management system storage values, wherein the battery management system storage values include cumulative discharge capacity, average power consumption, and battery pack offline time;

[0095] The calculation subunit 212 is used to calculate the cumulative mileage of the target vehicle based on the average power consumption and the cumulative discharge amount; and to calculate the cumulative operating time of the battery pack of the target vehicle based on the offline time of the battery pack;

[0096] a detection subunit 213, for detecting the operating mode of the target vehicle;

[0097] The acquisition subunit 214 is configured to acquire the real-time battery temperature of the target vehicle through a temperature acquisition module.

[0098] As an optional implementation, the detection subunit 213 includes:

[0099] An acquisition module is used to obtain the charging status and external temperature of the target vehicle;

[0100] A judgment module is used to judge whether the target vehicle is in the battery charging process according to the charging status;

[0101] The determination module is used to determine the charging state mode of the target vehicle according to the charging state when it is determined that the target vehicle is in the battery charging process; and determine the operating mode of the target vehicle according to the charging state mode.

[0102] As an optional implementation, the determination module is also used to determine the driving state mode of the target vehicle according to the charging state and the outside temperature when it is determined that the target vehicle is not in the battery charging process; and to determine the operating mode of the target vehicle according to the driving state mode.

[0103] In this embodiment, the control parameters include one or more of the upper and lower limits of capacity, capacity retention rate, charge rate, discharge power, coolant flow rate, and cooling / heating power.

[0104] In this embodiment, the explanation of the battery management control device can refer to the description in Example 1, and will not be further elaborated in this embodiment.

[0105] It can be seen that the battery management control device described in this embodiment can obtain the most accurate battery health status in real time at all times of vehicle operation and optimize the battery service life by using multiple indicators such as battery mileage, operating time, temperature, operating mode and BMS calculation of SOH value, through establishing a multi-dimensional model and setting multi-dimensional weight coefficients. It can also control the battery available power range, charging rate, discharge power, and combine thermal management control strategies based on the full life cycle battery management control method in different user scenarios and multi-dimensional target factor control indicators, so as to better optimize the battery service life and battery reliability and durability.

[0106] An embodiment of the present application provides an electronic device, including a memory and a processor, wherein 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 management control method in embodiment 1 of the present application.

[0107] An embodiment of the present application provides a computer-readable storage medium storing 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.

[0108] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0109] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0110] If the functions are implemented 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, 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. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0111] The foregoing is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included within the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined or explained in subsequent figures.

[0112] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

[0113] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

Claims

1. A battery management control method, characterized in that: include: Obtaining the cumulative mileage of the target vehicle, the cumulative operating time of the battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle; estimating a battery state of health value of the target vehicle based on the accumulated mileage, the accumulated operating time, the operating mode, the real-time battery temperature, and a preset state of health estimation model; Determining control parameters based on a pre-built multi-dimensional indicator dynamic lookup model, the battery health status value, the accumulated mileage, the accumulated operating 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; The step of obtaining the cumulative mileage of the target vehicle, the cumulative operating time of the battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle includes: Obtaining battery management system storage values, wherein the battery management system storage values include cumulative discharge capacity, average power consumption, and battery pack offline time; Calculating the cumulative mileage of the target vehicle based on the average power consumption and the cumulative discharge amount; Calculating the cumulative operating time of the target vehicle battery pack according to the offline time of the battery pack; detecting an operating mode of the target vehicle; Collecting the real-time battery temperature of the target vehicle through a temperature acquisition module; Wherein, the detecting the operating mode of the target vehicle further includes: Obtaining the charging state and external temperature of the target vehicle; Determining whether the target vehicle is in a battery charging process according to the charging status; If yes, determining a charging state mode of the target vehicle according to the charging state; and determining an operating mode of the target vehicle according to the charging state mode; If not, determining a driving state mode of the target vehicle according to the charging state and the outside temperature; and determining an operating mode of the target vehicle according to the driving state mode; Wherein, detecting the operating mode of the target vehicle includes: The operating mode of the electric vehicle is judged through the temperature detection module. By detecting the external temperature and the battery pack module temperature, the vehicle's driving condition, and the charging status, the corresponding temperature threshold is set to dynamically judge the vehicle's operating mode. By triggering different temperature thresholds, the dynamic operating mode is judged into summer mode, winter mode, and normal mode.

2. The battery management control method according to claim 1, characterized in that: The control parameters include one or more of the upper and lower limits of capacity, capacity retention rate, charge rate, discharge power, coolant flow rate, and cooling / heating power.

3. A battery management control device, characterized in that: The battery management control device includes: an acquisition unit, configured to acquire the cumulative mileage of a target vehicle, the cumulative operating time of a battery pack of the target vehicle, the operating mode of the target vehicle, and the real-time battery temperature of the target vehicle; an estimating unit, configured to estimate a battery state of health value of the target vehicle based on the accumulated mileage, the accumulated operating time, the operating mode, the real-time battery temperature, and a preset state of health estimation model; a determination unit, configured to determine a control parameter based on a pre-built multi-dimensional indicator dynamic lookup model, the battery health status value, the accumulated mileage, the accumulated operating 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; Wherein, the acquisition unit includes: An acquisition subunit, configured to acquire a battery management system storage value, wherein the battery management system storage value includes cumulative discharge capacity, average power consumption, and battery pack offline time; a calculation subunit, configured to calculate the cumulative mileage of the target vehicle based on the average power consumption and the cumulative discharge amount; and to calculate the cumulative operating time of the battery pack of the target vehicle based on the offline time of the battery pack; a detection subunit, configured to detect an operating mode of the target vehicle; A collection subunit, configured to collect the real-time battery temperature of the target vehicle through a temperature collection module; Wherein, the detection subunit includes: An acquisition module, configured to acquire the charging state and external temperature of the target vehicle; a judgment module, configured to judge whether the target vehicle is in a battery charging process according to the charging status; a determination module configured to, when determining that the target vehicle is in a battery charging process, determine a charging state mode of the target vehicle according to the charging state; and determine an operating mode of the target vehicle according to the charging state mode; The determination module is further configured to determine the driving state mode of the target vehicle according to the charging state and the outside temperature when it is determined that the target vehicle is not in the battery charging process; and determine the operating mode of the target vehicle according to the driving state mode; Wherein, detecting the operating mode of the target vehicle includes: The temperature detection module is used to judge the operating mode of the electric vehicle. By detecting the external temperature and the battery pack module temperature, the vehicle's driving condition, and the charging status, the corresponding temperature threshold is set to dynamically judge the vehicle's operating mode. By triggering different temperature thresholds, the dynamic operating mode is judged into summer mode, winter mode, and normal mode.

4. An electronic device, characterized in that: The electronic device includes 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 perform the battery management control method according to any one of claims 1 to 2.

5. A readable storage medium, characterized in that: The readable storage medium stores computer program instructions, and when the computer program instructions are read and executed by a processor, the battery management control method according to any one of claims 1 to 2 is executed.

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