Optimization Method, Device, Equipment and Storage Medium for Battery System of Vehicle

Abstract

The present application relates to the technical field of vehicles, and particularly relates to a method, device, equipment and storage medium for optimizing a battery system of a vehicle. The method includes: performing a thermal field simulation on the discharge mode of the battery system under low-temperature conditions according to the three-dimensional structure and thermal management scheme of the battery system to determine the lowest temperature region and the highest temperature region in the battery system; calculating the actual temperature difference between the lowest temperature region and the highest temperature region, and calculating the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference; performing battery assembly on the battery system with the minimum assembly capacity, and optimizing the low-temperature discharge amount of the battery system to meet a preset condition. Thereby, the problem that the experiment is terminated due to the cell voltage in the lowest temperature region triggering the lower limit is solved, and the performance of the battery system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of vehicles, and particularly relates to a method, device, equipment and storage medium for optimizing a battery system of a vehicle. Background Art

[0002] With the rapid development of the vehicle field, the low-temperature power performance of the power battery system has received increasing attention. The quality of the low-temperature power retention rate of the system entirely depends on how many pulse peaks can pass under this condition. For each additional peak, it is basically possible to discharge 1 - 3 kWh more.

[0003] In the related art, generally, the NEDC (New European Driving Cycle) or WLTC (World Light Vehicle Test Cycle) working conditions are used to evaluate the low-temperature power. The average multiple of such working conditions is not high, but the pulse peak power is prominent. When the battery system is at low temperature and low SOC (State of Charge), when passing through the peak of the working condition, the minimum voltage of the single cell is often pulled down to the discharge cut-off voltage, resulting in the termination of the test, and then the low-temperature power of the system is measured.

[0004] Therefore, it is very important to solve the problem that the experiment is terminated due to the voltage of the battery cell in the lowest temperature area triggering the lower limit in the battery system.

[0005] Content of the Application

[0006] The present application provides a method, device, equipment and storage medium for optimizing a battery system of a vehicle to solve the problem that the experiment is terminated due to the voltage of the battery cell in the lowest temperature area triggering the lower limit in the battery system and improve the performance of the battery system.

[0007] The first aspect embodiment of the present application provides a method for optimizing a battery system of a vehicle, including the following steps:

[0008] Performing a thermal field simulation on the discharge mode of the battery system under low-temperature working conditions according to the three-dimensional structure and thermal management scheme of the battery system to determine the lowest temperature area and the highest temperature area in the battery system;

[0009] Calculating the actual temperature difference between the lowest temperature area and the highest temperature area, and calculating the minimum assembly capacity corresponding to the lowest temperature area according to the actual temperature difference; and

[0010] Assembling the battery system with the minimum assembly capacity, and optimizing the low-temperature discharge capacity of the battery system to meet the preset conditions.

[0011] Optionally, the calculating the actual temperature difference between the lowest temperature area and the highest temperature area includes:

[0012] Determine the temperature field distribution of the battery system according to the simulation results;

[0013] Based on the temperature field distribution, obtain the actual temperature difference between the lowest temperature region and the highest temperature region.

[0014] Optionally, the calculating the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference includes:

[0015] Obtain the test grading corresponding to the off-line capacity and internal resistance of the battery cells of the battery system;

[0016] Determine the DC internal resistance matrix of the battery cells at different temperatures and different SOCs from the test grading, and determine the minimum assembly capacity in combination with the temperature difference.

[0017] Optionally, the assembling the battery system with the minimum assembly capacity includes:

[0018] Increase the minimum assembly capacity of the cell capacity of at least one single battery corresponding to the lowest temperature region to the target minimum assembly capacity under the preset conditions;

[0019] Alternatively, a heating device is provided for the lowest temperature region, so that the cell capacity of at least one single battery corresponding to the lowest temperature region reaches the target minimum assembly capacity. An embodiment of the second aspect of the present application provides an optimization device for a battery system of a vehicle, including:

[0020] A determination module, configured to perform a thermal field simulation on the discharge mode of the battery system under a low-temperature condition according to the three-dimensional structure and thermal management scheme of the battery system, and determine the lowest temperature region and the highest temperature region in the battery system;

[0021] A calculation module, configured to calculate the actual temperature difference between the lowest temperature region and the highest temperature region, and calculate the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference; and

[0022] An optimization module, configured to assemble the battery system with the minimum assembly capacity, and optimize the low-temperature discharge amount of the battery system to meet the preset conditions.

[0023] Optionally, the calculation module is specifically configured to:

[0024] Determine the temperature field distribution of the battery system according to the simulation results;

[0025] Based on the temperature field distribution, obtain the actual temperature difference between the lowest temperature region and the highest temperature region.

[0026] Optionally, the calculation module is specifically configured to:

[0027] Obtain the test grading corresponding to the offline capacity and internal resistance of the battery cells of the battery system;

[0028] Determine the DC internal resistance matrix of the battery cells at different temperatures and different SOCs from the test grading, and combine the temperature difference to determine the minimum assembly capacity.

[0029] Optionally, the optimization module is specifically configured to:

[0030] Increase the minimum assembly capacity of the battery cell capacity of at least one single battery corresponding to the lowest temperature region to the target minimum assembly capacity under the preset conditions;

[0031] Alternatively, a heating device is provided for the lowest temperature region, so that the battery cell capacity of at least one single battery corresponding to the lowest temperature region reaches the target minimum assembly capacity.

[0032] An embodiment of the third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the battery system optimization method of the vehicle as described in the above embodiment.

[0033] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, and the program is executed by a processor to implement the above-mentioned battery system optimization method of the vehicle.

[0034] Thus, the thermal field simulation of the discharge mode of the battery system under low-temperature conditions can be carried out according to the three-dimensional structure and thermal management scheme of the battery system, the lowest temperature region and the highest temperature region in the battery system can be determined, the actual temperature difference between the lowest temperature region and the highest temperature region can be calculated, and the minimum assembly capacity corresponding to the lowest temperature region can be calculated according to the actual temperature difference, and the battery system can be assembled with the minimum assembly capacity, and the low-temperature discharge capacity of the battery system can be optimized to meet the preset conditions. Thus, by identifying the assembly of high-capacity battery cells at special positions, the problem of internal resistance difference introduced by the lowest temperature difference under low-temperature discharge conditions of the system is compensated, and finally the low-temperature discharge capacity of the system can be directly optimized, and the problem that the experiment is terminated due to the voltage of the battery cells in the lowest temperature region triggering the lower limit is solved, and the performance of the battery system is improved.

[0035] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application. Description of the Drawings

[0036] The above and / or additional aspects and advantages of the present application will become apparent and readily understood from the following description of embodiments in conjunction with the accompanying drawings, where:

[0037] Figure 1 FIG. is a flowchart of a method for optimizing a battery system of a vehicle according to an embodiment of the present application;

[0038] Figure 2 FIG. is an example diagram of cell capacity matching according to an embodiment of the present application;

[0039] Figure 3 FIG. is a flowchart of a method for optimizing a battery system of a vehicle according to an embodiment of the present application;

[0040] Figure 4 FIG. is an example diagram of determining the lowest temperature region according to an embodiment of the present application;

[0041] Figure 5 FIG. is an example diagram of a device for optimizing a battery system of a vehicle according to an embodiment of the present application;

[0042] Figure 6 FIG. is an example diagram of an electronic device according to an embodiment of the present application. Detailed Embodiments

[0043] The embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application and should not be construed as limiting the present application.

[0044] The method, device, equipment, and storage medium for optimizing a battery system of a vehicle according to embodiments of the present application will be described below with reference to the accompanying drawings.

[0045] Before introducing the method, device, equipment, and storage medium for optimizing a battery system of a vehicle according to embodiments of the present application, a specific embodiment will be used to illustrate in detail the problems to be solved by the present application.

[0046] Specifically, for a power battery system of a certain project, during the low-temperature discharge test, it is basically in a low SOC and low-temperature state. When passing the pulse power in the time period of 1600s to 1700s, the discharge is terminated because the cell voltages of Cell No. 9 and Cell No. 10 trigger the discharge cut-off voltage. Through actual data analysis, Cell No. 9 and Cell No. 10 are the lowest temperature areas of the system. Under large pulses, due to their large internal resistance, the voltages of Cell No. 9 and Cell No. 10 are pulled down by nearly 1000 mV. Therefore, it can be determined that Cell No. 9 and Cell No. 10 are the short boards of the entire system. Whether these cells can withstand the power spike determines how much electricity the system can discharge. Through the horizontal analysis of the low-temperature data, it is found that at low temperatures, both Cell No. 9 and Cell No. 10 are the lowest temperature points. Due to the low temperature, the internal resistance is high, and at the end of the low-temperature discharge, the discharge is terminated because the cell voltages of Cell No. 9 and Cell No. 10 trigger the cut-off voltage.

[0047] Therefore, how to solve the end plate problems such as Cell No. 9 and Cell No. 10 in a battery system determines the level of the low-temperature battery power retention rate of the system. Thus, the present application provides an optimization method for the battery system of a vehicle. In this method, the thermal field simulation of the discharge mode of the battery system under low-temperature conditions can be carried out according to the three-dimensional structure and thermal management scheme of the battery system, to determine the lowest temperature area and the highest temperature area in the battery system, calculate the actual temperature difference between the lowest temperature area and the highest temperature area, calculate the minimum assembly capacity corresponding to the lowest temperature area according to the actual temperature difference, and perform battery assembly on the battery system with the minimum assembly capacity, so as to optimize the low-temperature discharge capacity of the battery system to meet the preset conditions. Thus, by identifying the high-capacity cell assembly at special positions, the problem of internal resistance difference introduced by the lowest temperature difference under the low-temperature discharge condition of the system is compensated, and finally the low-temperature discharge capacity of the system can be directly optimized, solving the problem that the experiment is terminated due to the cell voltage in the lowest temperature area triggering the lower limit, and improving the performance of the battery system.

[0048] Specifically, Figure 1 is a schematic flow chart of an optimization method for the battery system of a vehicle provided by an embodiment of the present application.

[0049] As Figure 1 shown, the optimization method for the battery system of the vehicle includes the following steps:

[0050] In step S101, according to the three-dimensional structure and thermal management scheme of the battery system, the thermal field simulation of the discharge mode of the battery system under low-temperature conditions is carried out to determine the lowest temperature area and the highest temperature area in the battery system.

[0051] Specifically, as Figure 2As shown in the figure, embodiments of the present application can perform three-dimensional temperature field simulation (such as CFD (Computational Fluid Dynamics) simulation) based on the three-dimensional dimensions of the battery system. The simulation process requires being carried out under low-temperature environmental boundaries to simulate low-temperature vehicle road tests, load air convection, and determine the lowest temperature region and the highest temperature region in the battery system after the simulation.

[0052] In step S102, calculate the actual temperature difference between the lowest temperature region and the highest temperature region, and calculate the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference.

[0053] Optionally, in some embodiments, calculating the actual temperature difference between the lowest temperature region and the highest temperature region includes: determining the temperature field distribution of the battery system according to the simulation results; obtaining the actual temperature difference between the lowest temperature region and the highest temperature region based on the temperature field distribution.

[0054] That is to say, embodiments of the present application can determine the temperature difference between the lowest temperature region and the highest temperature region based on the simulated temperature field distribution.

[0055] Optionally, in some embodiments, calculating the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference includes: obtaining the test grading corresponding to the off-line capacity and internal resistance of the battery cells of the battery system; determining the DC internal resistance matrix of the battery cells at different temperatures and different SOCs from the test grading, and determining the minimum assembly capacity in combination with the temperature difference.

[0056] Specifically, embodiments of the present application can perform test grading on the off-line capacity and internal resistance of the battery cells for the first time. According to the maximum temperature difference (i.e., the actual temperature difference between the lowest temperature region and the highest temperature region) calculated above, in combination with the DC internal resistance matrix of the battery cells at different temperatures and different SOCs, estimate the minimum capacity of the battery cells that need to be assembled in the lowest temperature region. It should be noted that when estimating the minimum capacity of the battery cells that need to be assembled in the lowest temperature region according to the DC internal resistance matrix of the battery cells at different temperatures and different SOCs, methods in related technologies can be used. To avoid redundancy, no detailed description is given here.

[0057] In step S103, perform battery assembly on the battery system with the minimum assembly capacity, and optimize the low-temperature discharge capacity of the battery system to meet the preset conditions.

[0058] Optionally, in some embodiments, performing battery assembly on the battery system with the minimum assembly capacity includes: increasing the minimum assembly capacity of the cell capacity of at least one single battery corresponding to the lowest temperature region to the target minimum assembly capacity of the preset conditions; or, setting a heating device for the lowest temperature region so that the cell capacity of at least one single battery corresponding to the lowest temperature region reaches the target minimum assembly capacity.

[0059] Among them, the target minimum assembly capacity of the preset condition can be the minimum assembly capacity preset by the user, the minimum assembly capacity obtained through a finite number of experiments, or the minimum assembly capacity obtained through a finite number of computer simulations. No specific limitation is made here.

[0060] Specifically, when assembling the battery system in the embodiments of the present application, the high-capacity and low-internal-resistance battery cells sorted according to requirements are assembled into the low-temperature area determined by the previous simulation to optimize the low-temperature discharge capacity of the system. The main purpose is to minimize the internal resistance of the battery cells at the discharge end of the lowest temperature area after the system is grouped through special previous grouping, improve the lowest voltage when the system has a low-temperature and low-SOC pulse overpeak, and improve the discharge capacity of the system, thereby solving or weakening the short-board problem caused by the local low temperature inside the system.

[0061] For example, as Figure 2 shown, assume that initially both Cell1 and Cell2 are at 10% SOC and 0.5 mΩ. After matching the battery cell capacities, if the battery capacity of Ce113 is adjusted to 15% SOC and 2.5 mΩ, that is, the minimum assembly capacity of the battery cell capacity of at least one single battery corresponding to the lowest temperature area is increased to the target minimum assembly capacity of the preset condition as described above.

[0062] It should be noted that the embodiments of the present application can be solved by performing differential heating outside the battery cells or modules in the identified low-temperature area. The differential heating method includes but is not limited to: separately adding a heating element to the module or battery cell in this area, or separately increasing the heating power of the heating element in this area, so that the battery cell capacity of at least one single battery corresponding to the lowest temperature area reaches the target minimum assembly capacity.

[0063] To enable those skilled in the art to further understand the battery system optimization method of the embodiments of the present application, the following will be described in detail with specific embodiments.

[0064] As Figure 3 shown, the battery system optimization method of this vehicle includes the following steps:

[0065] S301, perform three-dimensional temperature field simulation according to the three-dimensional dimensions of the battery system.

[0066] S302, determine the lowest temperature area and the temperature difference after the simulation.

[0067] S303, calculate the internal resistance of the battery cells.

[0068] S304, calculate the battery cell capacity specification.

[0069] S305, perform battery cell capacity grading.

[0070] S306, Battery module and system assembly.

[0071] Specifically, assume that through simulation, the lowest temperature area and the highest temperature area in the battery system are determined to be cell 1 and cell 16 (as shown by Cell1 and Cell16 in Figure 4 ). Since the DC internal resistance of the cell increases with the decrease of temperature and also increases with the decrease of SOC, according to the DCR (Directive Current Resistance) matrix of this type of cell at various temperatures and SOCs, the internal resistance differences between cell 1 and cell 16 and other cells can be calculated. This internal resistance difference is sharply amplified at the end of discharge. Eventually, due to the excessive internal resistance of cell 1 and cell 16, the voltage is first pulled below the cut-off voltage, resulting in the termination of the battery system discharge. To optimize this problem, in the embodiments of the present application, the capacity of cell 1 and cell 16 can be designed to minimize the internal resistance difference caused by the temperature difference. That is, by increasing the capacity of cell 1 and cell 16, at the end of discharge, when the same capacity is discharged, the SOC of this cell is relatively high. Through the characteristic that a high SOC results in a low internal resistance, cells 1 and 16 are controlled within the average range. Finally, it is ensured that when the system discharges to the end, it will not trigger the cut-off voltage due to excessive internal resistance, thereby improving the discharge capacity of the system.

[0072] According to the battery system optimization method for a vehicle proposed in the embodiments of the present application, the thermal field simulation of the discharge mode of the battery system under low-temperature conditions can be performed according to the three-dimensional structure and thermal management scheme of the battery system, to determine the lowest temperature area and the highest temperature area in the battery system, calculate the actual temperature difference between the lowest temperature area and the highest temperature area, calculate the minimum assembly capacity corresponding to the lowest temperature area according to the actual temperature difference, and perform battery assembly on the battery system with the minimum assembly capacity, so as to optimize the low-temperature discharge capacity of the battery system to meet the preset conditions. Thus, by identifying the assembly of high-capacity cells at special positions, the problem of internal resistance difference introduced by the lowest temperature difference under the low-temperature discharge condition of the system is compensated, and finally the low-temperature discharge capacity of the system can be directly optimized, solving the problem that the experiment is terminated due to the voltage of the cells in the lowest temperature area triggering the lower limit in the battery system, and improving the performance of the battery system.

[0073] Next, a battery system optimization device for a vehicle proposed in the embodiments of the present application will be described with reference to the accompanying drawings.

[0074] Figure 5 It is a block diagram of a battery system optimization device for a vehicle according to an embodiment of the present application.

[0075] As Figure 5 shown, the battery system optimization device 10 for the vehicle includes: a determination module 100, a calculation module 200, and an optimization module 300.

[0076] Among them, the determination module 100 is configured to perform a thermal field simulation on the discharge mode of the battery system under low-temperature conditions according to the three-dimensional structure and thermal management solution of the battery system, and determine the lowest temperature area and the highest temperature area in the battery system;

[0077] The calculation module 200 is configured to calculate the actual temperature difference between the lowest temperature area and the highest temperature area, and calculate the minimum assembly capacity corresponding to the lowest temperature area according to the actual temperature difference; and

[0078] The optimization module 300 is configured to perform battery assembly on the battery system with the minimum assembly capacity, and optimize the low-temperature discharge capacity of the battery system to meet the preset conditions.

[0079] Optionally, the calculation module 200 is specifically configured to:

[0080] Determine the temperature field distribution of the battery system according to the simulation results;

[0081] Obtain the actual temperature difference between the lowest temperature area and the highest temperature area based on the temperature field distribution.

[0082] Optionally, the calculation module 200 is specifically configured to:

[0083] Obtain the test grading corresponding to the off-line capacity and internal resistance of the battery cells of the battery system;

[0084] Determine the DC internal resistance matrix of the battery cells at different temperatures and different SOCs from the test grading, and determine the minimum assembly capacity in combination with the temperature difference.

[0085] Optionally, the optimization module 300 is specifically configured to:

[0086] Increase the minimum assembly capacity of the cell capacity of at least one single battery corresponding to the lowest temperature area to the target minimum assembly capacity of the preset condition;

[0087] Alternatively, a heating device is set for the lowest temperature area, so that the cell capacity of at least one single battery corresponding to the lowest temperature area reaches the target minimum assembly capacity.

[0088] It should be noted that the foregoing explanation of the embodiments of the method for optimizing the battery system of a vehicle is also applicable to the device for optimizing the battery system of the vehicle in this embodiment, and will not be elaborated here.

[0089] The battery system optimization device for a vehicle proposed according to an embodiment of the present application can perform a thermal field simulation on the discharge mode of the battery system under low-temperature conditions according to the three-dimensional structure and thermal management scheme of the battery system, determine the lowest temperature region and the highest temperature region in the battery system, calculate the actual temperature difference between the lowest temperature region and the highest temperature region, calculate the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference, and perform battery assembly on the battery system with the minimum assembly capacity, so as to optimize the low-temperature discharge capacity of the battery system to meet the preset conditions. Thus, by identifying the assembly of high-capacity battery cells at special positions, the problem of internal resistance difference introduced by the lowest temperature difference under low-temperature discharge conditions of the system is compensated, and finally the low-temperature discharge capacity of the system can be directly optimized, solving the problem that the experiment is terminated due to the voltage of the battery cells in the lowest temperature region triggering the lower limit, and improving the performance of the battery system.

[0090] Figure 6 The following is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device may include:

[0091] A memory 601, a processor 602, and a computer program stored on the memory 601 and executable on the processor 602.

[0092] When the processor 602 executes the program, it implements the battery system optimization method for a vehicle provided in the above embodiment.

[0093] Further, the electronic device further includes:

[0094] A communication interface 603 for communication between the memory 601 and the processor 602.

[0095] The memory 601 is used to store a computer program executable on the processor 602.

[0096] The memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0097] If the memory 601, the processor 602, and the communication interface 603 are implemented independently, the communication interface 603, the memory 601, and the processor 602 can be interconnected through a bus and communicate with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation,Figure 6 It is only represented by a thick line, but it does not mean that there is only one bus or one type of bus.

[0098] Optionally, in a specific implementation, if the memory 601, the processor 602, and the communication interface 603 are integrated on a chip, the memory 601, the processor 602, and the communication interface 603 can communicate with each other through an internal interface.

[0099] The processor 602 may be a central processing unit (CPU for short), or an application specific integrated circuit (ASIC for short), or one or more integrated circuits configured to implement the embodiments of the present application.

[0100] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the above-mentioned method for optimizing the battery system of a vehicle is implemented.

[0101] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, without conflict, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0102] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0103] Any process or method description represented in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing custom logical functions or processes, and the scope of the preferred embodiments of the present application includes additional implementations where functions may be executed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0104] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing a logical function, and can be embodied specifically in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable medium on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0105] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0106] Those of ordinary skill in the art can understand that all or part of the steps carried out in implementing the above embodiments of the method can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0107] In addition, each functional unit in the various embodiments of the present application may be integrated into a processing module, may exist separately physically for each unit, or two or more units may be integrated into one module. The above integrated module may be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0108] The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present application.

Claims

1. A method for optimizing a battery system of a vehicle, characterized in that, It includes the following steps: Perform a thermal field simulation on the discharge mode of the battery system under low-temperature conditions according to the three-dimensional structure and thermal management scheme of the battery system to determine the lowest temperature region and the highest temperature region in the battery system; Calculate the actual temperature difference between the lowest temperature region and the highest temperature region, and calculate the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference; And Perform battery assembly on the battery system with the minimum assembly capacity to optimize the low-temperature discharge capacity of the battery system to meet the preset conditions; Wherein, performing battery assembly on the battery system with the minimum assembly capacity includes: increasing the minimum assembly capacity of the cell capacity of at least one single battery corresponding to the lowest temperature region to the target minimum assembly capacity of the preset conditions; or, setting a heating device for the lowest temperature region so that the cell capacity of at least one single battery corresponding to the lowest temperature region reaches the target minimum assembly capacity.

2. The method according to claim 1, wherein The calculating the actual temperature difference between the lowest temperature region and the highest temperature region includes: Determine the temperature field distribution of the battery system according to the simulation results; Obtain the actual temperature difference between the lowest temperature region and the highest temperature region based on the temperature field distribution.

3. The method according to claim 1, characterized in that The calculating the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference includes: Obtain the test grading corresponding to the cell off-line capacity and internal resistance of the battery system; Determine the DC internal resistance matrix of the cells at different temperatures and different SOCs from the test grading, and determine the minimum assembly capacity in combination with the temperature difference.

4. An optimization device for a battery system of a vehicle, characterized in that, It includes: A determination module, configured to perform a thermal field simulation on the discharge mode of the battery system under low-temperature conditions according to the three-dimensional structure and thermal management scheme of the battery system to determine the lowest temperature region and the highest temperature region in the battery system; A calculation module, configured to calculate the actual temperature difference between the lowest temperature region and the highest temperature region, and calculate the minimum assembly capacity corresponding to the lowest temperature region according to the actual temperature difference; And An optimization module, configured to perform battery assembly on the battery system with the minimum assembly capacity to optimize the low-temperature discharge capacity of the battery system to meet the preset conditions; Wherein, the optimization module is specifically configured to: increase the minimum assembly capacity of the cell capacity of at least one single battery corresponding to the lowest temperature region to the target minimum assembly capacity of the preset conditions; or, set a heating device for the lowest temperature region so that the cell capacity of at least one single battery corresponding to the lowest temperature region reaches the target minimum assembly capacity.

5. The device according to claim 4, characterized in that, The calculation module is specifically configured to: Determine the temperature field distribution of the battery system according to the simulation results; Obtain the actual temperature difference between the lowest temperature region and the highest temperature region based on the temperature field distribution.

6. The device according to claim 4, characterized in that The calculation module is specifically configured to: Obtain the test grading corresponding to the cell off-line capacity and internal resistance of the battery system; Determine the DC internal resistance matrix of the cells at different temperatures and different SOCs from the test grading, and determine the minimum assembly capacity in combination with the temperature difference.

7. An electronic device, characterized in that, It includes: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the battery system optimization method for a vehicle according to any one of claims 1-4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the battery system optimization method for a vehicle according to any one of claims 1-4.

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