Lithium-ion battery thermal management strategy optimization method, device, equipment and medium

Abstract

The present invention provides a lithium-ion battery thermal management strategy optimization method, device, equipment and medium, the method comprising: obtaining the maximum temperature and the maximum temperature difference in the lithium-ion battery module; when the maximum temperature is less than or equal to the temperature threshold and the maximum temperature difference is less than or equal to the temperature difference threshold, cooling the lithium-ion battery module based on the phase change material and the cooling medium in the non-driving state; when the maximum temperature is greater than the temperature threshold or the maximum temperature difference is greater than the temperature difference threshold, determining the value range of the controllable parameters of the cooling medium in the driving state based on the ambient temperature of the lithium-ion battery module, the heat dissipation demand and the phase change temperature of the phase change material, establishing a comprehensive evaluation model based on multi-objective parameters, determining the target controllable parameter combination according to the value range and the comprehensive evaluation model; cooling the lithium-ion battery module based on the target controllable parameter combination. The present invention reduces energy consumption while improving the temperature uniformity of the lithium-ion battery module.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal management of lithium-ion batteries, and in particular to a method, device, equipment and medium for optimizing thermal management strategy of lithium-ion batteries. Background Art

[0002] Lithium-ion batteries are widely used in energy storage power stations and electric vehicles due to their high energy density, long cycle life, low self-discharge rate and memory effect. However, as energy density and charge and discharge rates continue to increase, the heat generation and heat accumulation problems of lithium-ion batteries are becoming more serious. Excessive temperature not only accelerates battery aging, but may also cause thermal runaway of the battery. Inconsistent temperatures in a single cell or battery module will lead to inconsistent battery aging, and there is a risk of overcharging and over-discharging. Therefore, an efficient thermal management system needs to be designed to control the temperature and temperature uniformity of the battery module within a safe range.

[0003] In order to ensure the temperature control effect of the thermal management system, the existing technology adopts a hybrid thermal management system based on phase change materials and liquid cooling technology. However, continuously starting the liquid cooling system and simply changing the coolant temperature and flow rate cannot effectively alleviate the problem of uneven temperature distribution of the battery module, and will also increase system power consumption.

[0004] Therefore, there is an urgent need to provide a lithium-ion battery thermal management strategy optimization method, device, equipment and medium to solve the technical problems existing in the prior art that the uneven temperature distribution cannot be effectively alleviated and the system energy consumption is large. Summary of the invention

[0005] In view of this, it is necessary to provide a lithium-ion battery thermal management strategy optimization method, device, equipment and medium to solve the technical problems existing in the prior art that the uneven temperature distribution cannot be effectively alleviated and the system energy consumption is large.

[0006] In one aspect, the present invention provides a method for optimizing a thermal management strategy for a lithium-ion battery, comprising:

[0007] Acquire multiple temperature values ​​of multiple temperature measurement points in the lithium-ion battery module, and determine the maximum temperature and the maximum temperature difference according to the multiple temperature values;

[0008] When the maximum temperature is less than or equal to a temperature threshold and the maximum temperature difference is less than or equal to a temperature difference threshold, cooling the lithium-ion battery module based on a phase change material and a cooling medium in a non-driving state;

[0009] When the maximum temperature is greater than a temperature threshold or the maximum temperature difference is greater than a temperature difference threshold, a value range of controllable parameters of the cooling medium in a driving state is determined based on the ambient temperature of the lithium-ion battery module, the heat dissipation requirement, and the phase change temperature of the phase change material, and multi-objective parameters are determined, a comprehensive evaluation model is established based on the multi-objective parameters, a target controllable parameter combination is determined according to the value range and the comprehensive evaluation model; and the lithium-ion battery module is cooled based on the target controllable parameter combination.

[0010] In some possible implementations, the controllable parameters include a cooling medium inlet temperature, a cooling medium flow rate, and a driving time of the cooling medium.

[0011] In some possible implementations, determining a target controllable parameter combination according to the value range and the comprehensive evaluation model includes:

[0012] Generate multiple groups of controllable parameter combinations according to the value range;

[0013] Determine the comprehensive evaluation value corresponding to each controllable parameter combination in the multiple controllable parameter combinations according to the comprehensive evaluation model;

[0014] The target controllable parameter combination is determined from the multiple groups of controllable parameter combinations according to the comprehensive evaluation value.

[0015] In some possible implementations, the multi-objective parameters include a target maximum temperature, a target maximum temperature difference, a target discharge capacity, and a target system energy consumption.

[0016] In some possible implementations, the comprehensive evaluation model is:

[0017] EUE=α·TEP

[0018] TEP=TH·η

[0019] TH=TH1·TH2

[0020]

[0021]

[0022]

[0023]

[0024] Where, EUE is the energy efficiency coefficient; α is the energy consumption factor; TEP is the thermoelectric performance coefficient; TH is the thermal performance factor; η is the electrical performance factor; TH1 is the temperature factor; TH2 is the temperature uniformity factor; T max is the maximum temperature; Tm The upper limit of the ideal operating temperature of the lithium-ion battery module; T ref is the temperature threshold; ΔT max is the maximum temperature difference; ΔT ref is the temperature difference threshold; C discharge is the actual discharge capacity of the lithium-ion battery module; C nominal is the nominal discharge capacity of the lithium-ion battery module; W is the total energy of the lithium-ion battery module; W' is the energy consumption of keeping the cooling medium in a driving state; Q is the energy consumption of changing the inlet temperature of the cooling medium.

[0025] In some possible implementations, the phase change temperature of the phase change material includes a phase change temperature lower limit and a phase change temperature upper limit; the value range of the driving time of the cooling medium includes a first driving time, a second driving time, a third driving time and a fourth driving time, the first driving time is the discharge start time point of the lithium-ion battery module, the second driving time is the initial phase change time point when the maximum temperature is greater than or equal to the phase change temperature lower limit and less than the phase change temperature upper limit, the third driving time is the final phase change time point when the maximum temperature is greater than or equal to the phase change temperature upper limit and the minimum temperature of the lithium-ion battery module is less than the phase change temperature upper limit, and the fourth driving time is the complete phase change period time point when the minimum temperature is greater than or equal to the phase change temperature upper limit.

[0026] In some possible implementations, the temperature threshold is 50°C, and the temperature difference threshold is 5°C.

[0027] On the other hand, the present invention also provides a lithium-ion battery thermal management strategy optimization device, comprising:

[0028] A parameter acquisition unit, used to acquire multiple temperature values ​​of multiple temperature measurement points in the lithium-ion battery module, and determine the maximum temperature and the maximum temperature difference according to the multiple temperature values;

[0029] A passive cooling unit, used for cooling the lithium-ion battery module based on a phase change material and a cooling medium in a non-driving state when the maximum temperature is less than or equal to a temperature threshold and the maximum temperature difference is less than or equal to a temperature difference threshold;

[0030] An active cooling unit, for determining a range of controllable parameters of the cooling medium in a driving state based on the ambient temperature of the lithium-ion battery module, the heat dissipation requirement, and the phase change temperature of the phase change material when the maximum temperature is greater than a temperature threshold or the maximum temperature difference is greater than a temperature difference threshold, and determining multi-objective parameters, establishing a comprehensive evaluation model based on the multi-objective parameters, determining a target controllable parameter combination according to the value range and the comprehensive evaluation model; and cooling the lithium-ion battery module based on the target controllable parameter combination

[0031] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein:

[0032] The memory is used to store programs;

[0033] The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the lithium-ion battery thermal management strategy optimization method described in any one of the above implementations.

[0034] On the other hand, the present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the lithium-ion battery thermal management strategy optimization method described in any of the above-mentioned implementations.

[0035] The beneficial effect of adopting the above embodiment is: the lithium-ion battery thermal management strategy optimization method provided by the present invention determines whether to cool the lithium-ion battery module based on the phase change material and the cooling medium in the non-driven state or based on the cooling medium and the phase change material in the driven state according to the relationship between the maximum temperature, the maximum temperature difference, the temperature threshold and the temperature difference threshold, which can reduce the time that the cooling medium is in the driven state, thereby reducing energy consumption.

[0036] Furthermore, the present invention establishes a comprehensive evaluation model based on multi-objective parameters, and determines a target controllable parameter combination according to a value range and the comprehensive evaluation model; the lithium-ion battery module is cooled based on the target controllable parameter combination, which can optimize the controllable parameters and further reduce energy consumption.

[0037] Furthermore, the present invention uses the maximum temperature and the maximum temperature difference as evaluation criteria, which can improve the temperature uniformity of the lithium-ion battery module, thereby further improving the safety of the lithium-ion battery module. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0039] Figure 1 A schematic diagram of an embodiment of a lithium-ion battery thermal management strategy optimization method provided by the present invention;

[0040] Figure 2 For the present invention Figure 1 A schematic flow chart of an embodiment of S103;

[0041] Figure 3 A schematic diagram of the structure of an embodiment of a device for optimizing thermal management strategy of a lithium-ion battery provided by the present invention;

[0042] Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0044] It should be understood that the schematic drawings are not drawn to scale. The flow chart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flow chart can be implemented out of order, and the steps without logical context can be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flow chart under the guidance of the content of the present invention, and can also remove one or more operations from the flow chart.

[0045] Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0046] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0047] The embodiments of the present invention provide a method, device, equipment and medium for optimizing thermal management strategy of a lithium-ion battery, which are described below respectively.

[0048] Figure 1 A schematic diagram of an embodiment of the lithium-ion battery thermal management strategy optimization method provided by the present invention is shown in FIG. Figure 1 As shown in the figure, the optimization method of lithium-ion battery thermal management strategy includes:

[0049] S101, obtaining multiple temperature values ​​of multiple temperature measurement points in a lithium-ion battery module, and determining a maximum temperature and a maximum temperature difference according to the multiple temperature values;

[0050] S102, when the maximum temperature is less than or equal to the temperature threshold and the maximum temperature difference is less than or equal to the temperature difference threshold, cooling the lithium-ion battery module based on the phase change material and the cooling medium in a non-driving state;

[0051] S103. When the maximum temperature is greater than a temperature threshold or the maximum temperature difference is greater than a temperature difference threshold, a range of controllable parameters of the cooling medium in a driving state is determined based on the ambient temperature of the lithium-ion battery module, the heat dissipation requirement, and the phase change temperature of the phase change material, and multi-objective parameters are determined. A comprehensive evaluation model is established based on the multi-objective parameters, and a target controllable parameter combination is determined according to the value range and the comprehensive evaluation model; and the lithium-ion battery module is cooled based on the target controllable parameter combination.

[0052] Compared with the prior art, the lithium-ion battery thermal management strategy optimization method provided in the embodiment of the present invention determines whether to cool the lithium-ion battery module based on the phase change material and the cooling medium in the non-driven state or based on the cooling medium and the phase change material in the driven state according to the relationship between the maximum temperature, the maximum temperature difference, the temperature threshold and the temperature difference threshold, which can reduce the time that the cooling medium is in the driven state, thereby reducing energy consumption.

[0053] Furthermore, the embodiment of the present invention establishes a comprehensive evaluation model based on multi-objective parameters, and determines the target controllable parameter combination according to the value range and the comprehensive evaluation model; the lithium-ion battery module is cooled based on the target controllable parameter combination, which can optimize the controllable parameters and further reduce energy consumption.

[0054] Furthermore, the embodiment of the present invention uses the maximum temperature and the maximum temperature difference as evaluation criteria, which can improve the temperature uniformity of the lithium-ion battery module, thereby further improving the safety of the lithium-ion battery module.

[0055] It should be noted that: the non-driven state refers to a state in which there is no driving mechanism involved, the cooling medium is basically not flowing in the liquid cooling tube, and the flow rate is close to 0. The driven state refers to a state in which there is a driving mechanism involved, the driving mechanism drives the cooling medium in the liquid cooling tube to flow, and the cooling medium flow rate is relatively high. That is: the non-driven state refers to a passive cooling strategy for cooling the lithium-ion battery module based on liquid cooling tubes and phase change materials, and the driven state refers to an active cooling strategy for cooling the lithium-ion battery module based on liquid cooling tubes, phase change materials and driving mechanisms.

[0056] It should be understood that the drive mechanism may be a pump.

[0057] In some embodiments of the present invention, the controllable parameters in step S103 include the cooling medium inlet temperature, the cooling medium flow rate, and the driving time of the cooling medium.

[0058] Specifically, the driving time of the cooling medium is the starting time of the driving mechanism.

[0059] In some embodiments of the present invention, Figure 2 As shown, the step S103 determines the target controllable parameter combination according to the value range and the comprehensive evaluation model, including:

[0060] S201, generating multiple groups of controllable parameter combinations according to the value range;

[0061] S202, determining a comprehensive evaluation value corresponding to each controllable parameter combination in a plurality of controllable parameter combinations according to a comprehensive evaluation model;

[0062] S203: Determine a target controllable parameter combination from multiple groups of controllable parameter combinations according to the comprehensive evaluation value.

[0063] In a specific embodiment of the present invention, step S201 is: based on the orthogonal test method, generating multiple groups of controllable parameter combinations according to the value range.

[0064] In some embodiments of the present invention, the multi-objective parameters include a target maximum temperature, a target maximum temperature difference, a target discharge capacity, and a target system energy consumption.

[0065] The embodiment of the present invention takes the target maximum temperature, target maximum temperature difference, target discharge capacity and target system energy consumption as multi-objective parameters to establish a comprehensive evaluation model, which not only takes into account the risk of lithium-ion battery overheating, but also takes into account the performance of lithium-ion batteries during discharge and the energy utilization efficiency of the battery thermal management system. It can maximize energy utilization and reduce energy consumption while ensuring the battery temperature and temperature uniformity of lithium-ion batteries.

[0066] In some embodiments of the present invention, the cooling medium inlet temperature in step S102 is in the range of 20°C to 35°C.

[0067] The cooling medium flow rate ranges from 10mL / min to 100mL / min.

[0068] The phase change temperature of the phase change material includes a phase change temperature lower limit and a phase change temperature upper limit; the value range of the driving time of the cooling medium includes a first driving time, a second driving time, a third driving time and a fourth driving time, the first driving time is the starting time point of the lithium-ion battery module discharge, the second driving time is the initial phase change time point when the maximum temperature is greater than or equal to the phase change temperature lower limit of the phase change material and less than the phase change temperature upper limit of the phase change material, the third driving time is the final phase change time point when the maximum temperature is greater than or equal to the phase change temperature upper limit and the minimum temperature of the lithium-ion battery module is less than the phase change temperature upper limit, and the fourth driving time is the complete phase change period time point when the minimum temperature is greater than or equal to the phase change temperature upper limit.

[0069] Specifically, step S201 includes: discretizing the cooling medium inlet temperature and cooling medium flow rate based on a preset step size to obtain multiple discrete values, orthogonalizing the multiple discrete values ​​and four driving times of the pumping system to generate multiple sets of controllable parameter combinations.

[0070] It should be noted that the value range and step size of the controllable parameters can be adjusted according to actual conditions, and will not be described in detail here.

[0071] In some embodiments of the present invention, the comprehensive evaluation model in step S202 is:

[0072] EUE=α·TEP

[0073] TEP=TH·η

[0074] TH=TH1·TH2

[0075]

[0076]

[0077]

[0078]

[0079] Where, EUE is the energy efficiency coefficient; α is the energy consumption factor; TEP is the thermoelectric performance coefficient; TH is the thermal performance factor; η is the electrical performance factor; TH1 is the temperature factor; TH2 is the temperature uniformity factor; T max is the maximum temperature; T m The upper limit of the ideal operating temperature of the lithium-ion battery module; T ref is the temperature threshold; ΔT max is the maximum temperature difference; ΔT ref is the temperature difference threshold; C discharge is the actual discharge capacity of the lithium-ion battery module; C nominalis the nominal discharge capacity of the lithium-ion battery module; W is the total energy of the lithium-ion battery module; W' is the energy consumption of keeping the cooling medium in the driving state; Q is the energy consumption of changing the inlet temperature of the cooling medium.

[0080] It should be understood that step S203 specifically includes selecting the controllable parameter combination with the highest comprehensive evaluation value as the target controllable parameter combination.

[0081] In a specific embodiment of the present invention, the temperature threshold is 50°C, the temperature difference threshold is 5°C, and the upper limit of the ideal operating temperature of the lithium-ion battery module is 40°C.

[0082] It should be understood that: in practical applications, the temperature threshold, the temperature difference threshold and the upper limit of the ideal operating temperature of the lithium-ion battery module can be adjusted according to the actual working conditions, and will not be described in detail here.

[0083] In order to better implement the lithium-ion battery thermal management strategy optimization method in the embodiment of the present invention, based on the lithium-ion battery thermal management strategy optimization method, the embodiment of the present invention also provides a lithium-ion battery thermal management strategy optimization device, such as Figure 3 As shown, the lithium-ion battery thermal management strategy optimization device 300 includes:

[0084] The parameter acquisition unit 301 is used to acquire multiple temperature values ​​of multiple temperature measurement points in the lithium-ion battery module, and determine the maximum temperature and the maximum temperature difference according to the multiple temperature values;

[0085] A passive cooling unit 302, for cooling the lithium-ion battery module based on a phase change material and a cooling medium in a non-driving state when the maximum temperature is less than or equal to a temperature threshold and the maximum temperature difference is less than or equal to a temperature difference threshold;

[0086] The active cooling unit 303 is used to determine the range of controllable parameters of the cooling medium in the driving state based on the ambient temperature of the lithium-ion battery module, the heat dissipation requirements and the phase change temperature of the phase change material when the maximum temperature is greater than the temperature threshold or the maximum temperature difference is greater than the temperature difference threshold, and determine multi-objective parameters, establish a comprehensive evaluation model based on the multi-objective parameters, determine the target controllable parameter combination according to the value range and the comprehensive evaluation model; and cool the lithium-ion battery module based on the target controllable parameter combination.

[0087] The lithium-ion battery thermal management strategy optimization device 300 provided in the above embodiment can implement the technical solution described in the above lithium-ion battery thermal management strategy optimization method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above lithium-ion battery thermal management strategy optimization method embodiment, which will not be repeated here.

[0088] like Figure 4As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0089] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 402, such as the lithium-ion battery thermal management strategy optimization method of the present invention.

[0090] In some embodiments, the processor 401 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 401 may be local or remote. In some embodiments, the processor 401 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0091] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 400.

[0092] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0093] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display information on the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0094] In one embodiment, when the processor 401 executes the lithium-ion battery thermal management strategy optimization program in the memory 402, the following steps may be implemented:

[0095] Acquire multiple temperature values ​​of multiple temperature measurement points in a lithium-ion battery module, and determine a maximum temperature and a maximum temperature difference according to the multiple temperature values;

[0096] When the maximum temperature is less than or equal to the temperature threshold and the maximum temperature difference is less than or equal to the temperature difference threshold, cooling the lithium-ion battery module based on the phase change material and the cooling medium in the non-driving state;

[0097] When the maximum temperature is greater than the temperature threshold or the maximum temperature difference is greater than the temperature difference threshold, the range of controllable parameters of the cooling medium in the driving state is determined based on the ambient temperature of the lithium-ion battery module, the heat dissipation demand and the phase change temperature of the phase change material, and multi-objective parameters are determined. A comprehensive evaluation model is established based on the multi-objective parameters, and a target controllable parameter combination is determined according to the value range and the comprehensive evaluation model; the lithium-ion battery module is cooled based on the target controllable parameter combination.

[0098] It should be understood that: when the processor 401 executes the lithium-ion battery thermal management strategy optimization program in the memory 402, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0099] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0100] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions in the lithium-ion battery thermal management strategy optimization method provided in the above-mentioned method embodiments can be implemented.

[0101] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0102] The above is a detailed introduction to the lithium-ion battery thermal management strategy optimization method, device, equipment and medium provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for optimizing thermal management strategy of lithium-ion batteries, characterized in that: include: Acquire multiple temperature values ​​of multiple temperature measurement points in the lithium-ion battery module, and determine the maximum temperature and the maximum temperature difference according to the multiple temperature values; When the maximum temperature is less than or equal to a temperature threshold and the maximum temperature difference is less than or equal to a temperature difference threshold, cooling the lithium-ion battery module based on a phase change material and a cooling medium in a non-driving state; When the maximum temperature is greater than a temperature threshold or the maximum temperature difference is greater than a temperature difference threshold, determining a value range of a controllable parameter of the cooling medium in a driving state based on the ambient temperature of the lithium-ion battery module, the heat dissipation requirement, and the phase change temperature of the phase change material, and determining multi-objective parameters, establishing a comprehensive evaluation model based on the multi-objective parameters, determining a target controllable parameter combination according to the value range and the comprehensive evaluation model; and cooling the lithium-ion battery module based on the target controllable parameter combination; The comprehensive evaluation model is: In the formula, is the energy utilization efficiency coefficient; is the energy consumption factor; is the thermoelectric performance coefficient; is the thermal performance factor; is the electrical performance factor; is the temperature factor; is the temperature uniformity factor; is the maximum temperature; It is the upper limit of the ideal operating temperature of lithium-ion battery modules; is the temperature threshold; is the maximum temperature difference; is the temperature difference threshold; is the actual discharge capacity of the lithium-ion battery module; is the nominal discharge capacity of the lithium-ion battery module; is the total energy of the lithium-ion battery module; The energy consumption for keeping the cooling medium in a driving state; Energy consumption for changing the inlet temperature of the cooling medium.

2. The lithium-ion battery thermal management strategy optimization method according to claim 1, characterized in that: The controllable parameters include the cooling medium inlet temperature, the cooling medium flow rate and the driving time of the cooling medium.

3. The lithium-ion battery thermal management strategy optimization method according to claim 1, characterized in that: Determining the target controllable parameter combination according to the value range and the comprehensive evaluation model includes: Generate multiple groups of controllable parameter combinations according to the value range; Determine the comprehensive evaluation value corresponding to each controllable parameter combination in the multiple controllable parameter combinations according to the comprehensive evaluation model; The target controllable parameter combination is determined from the multiple groups of controllable parameter combinations according to the comprehensive evaluation value.

4. The lithium-ion battery thermal management strategy optimization method according to claim 1, characterized in that: The multi-objective parameters include a target maximum temperature, a target maximum temperature difference, a target discharge capacity, and a target system energy consumption.

5. The lithium-ion battery thermal management strategy optimization method according to claim 2, characterized in that: The phase change temperature of the phase change material includes a phase change temperature lower limit and a phase change temperature upper limit; the value range of the driving time of the cooling medium includes a first driving time, a second driving time, a third driving time and a fourth driving time, the first driving time is the discharge start time point of the lithium-ion battery module, the second driving time is the initial phase change time point when the maximum temperature is greater than or equal to the phase change temperature lower limit and less than the phase change temperature upper limit, the third driving time is the final phase change time point when the maximum temperature is greater than or equal to the phase change temperature upper limit and the minimum temperature of the lithium-ion battery module is less than the phase change temperature upper limit, and the fourth driving time is the complete phase change period time point when the minimum temperature is greater than or equal to the phase change temperature upper limit.

6. The lithium-ion battery thermal management strategy optimization method according to claim 1, characterized in that: The temperature threshold is 50°C, and the temperature difference threshold is 5°C.

7. A lithium-ion battery thermal management strategy optimization device, characterized in that: include: A parameter acquisition unit, used to acquire multiple temperature values ​​of multiple temperature measurement points in the lithium-ion battery module, and determine the maximum temperature and the maximum temperature difference according to the multiple temperature values; A passive cooling unit, used for cooling the lithium-ion battery module based on a phase change material and a cooling medium in a non-driving state when the maximum temperature is less than or equal to a temperature threshold and the maximum temperature difference is less than or equal to a temperature difference threshold; An active cooling unit, for determining a range of controllable parameters of the cooling medium in a driving state based on the ambient temperature of the lithium-ion battery module, the heat dissipation requirement, and the phase change temperature of the phase change material when the maximum temperature is greater than a temperature threshold or the maximum temperature difference is greater than a temperature difference threshold, and determining multi-objective parameters, establishing a comprehensive evaluation model based on the multi-objective parameters, determining a target controllable parameter combination according to the value range and the comprehensive evaluation model; and cooling the lithium-ion battery module based on the target controllable parameter combination; The comprehensive evaluation model is: In the formula, is the energy utilization efficiency coefficient; is the energy consumption factor; is the thermoelectric performance coefficient; is the thermal performance factor; is the electrical performance factor; is the temperature factor; is the temperature uniformity factor; is the maximum temperature; It is the upper limit of the ideal operating temperature of lithium-ion battery modules; is the temperature threshold; is the maximum temperature difference; is the temperature difference threshold; is the actual discharge capacity of the lithium-ion battery module; is the nominal discharge capacity of the lithium-ion battery module; is the total energy of the lithium-ion battery module; The energy consumption for keeping the cooling medium in a driving state; Energy consumption for changing the inlet temperature of the cooling medium.

8. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the lithium-ion battery thermal management strategy optimization method described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the lithium-ion battery thermal management strategy optimization method described in any one of claims 1 to 6.

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