A battery cooling plate design method and device

Abstract

The present application provides a battery cooling plate design method and device, the method comprising: obtaining the heat dissipation requirements of the battery pack and the water-cooling plate installation requirements; establishing an initial geometric model of the battery water-cooling plate according to the heat dissipation requirements of the battery pack and the water-cooling plate installation requirements; performing topological optimization processing on the initial geometric model to obtain a first topological structure; performing simplification processing on the first topological structure to obtain a second topological structure; performing structural parameter optimization processing on the second topological structure to obtain a third topological structure; determining a cooling plate to be tested corresponding to the third topological structure; when the cooling plate to be tested passes the cooling performance test under actual working conditions, it is determined that the cooling plate to be tested meets the actual production and processing requirements. This method and device can quickly design water-cooling plate parts that meet the actual production and processing requirements and meet the battery cooling performance requirements, thereby improving design efficiency and reducing manufacturing costs and testing cycles.

Description

Technical Field

[0001] The present application relates to the field of vehicle simulation technology, and more specifically, to a battery cooling plate design method and device. Background Art

[0002] At present, electric vehicles are an important development direction for future transportation. The performance of power batteries, one of their core components, is closely related to thermal management. In the design of battery cooling systems, the cooling plate is a key component of battery thermal management. Its design rationality is directly related to the performance and service life of the battery. Traditional cold plate design methods mainly rely on empirical design methods. Designers mostly rely on personal experience and traditional design principles, select standard cold plate geometries and materials, and combine empirical formulas to complete the design. However, this method has obvious drawbacks. Not only is the design efficiency low, but it also generates a lot of cost waste during the manufacturing and testing stages. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a battery cooling plate design method and device, which can quickly design water-cooled plate parts that meet actual production and processing requirements and meet battery cooling performance requirements, thereby improving design efficiency and reducing manufacturing costs and testing cycles.

[0004] A first aspect of the present application provides a battery cooling plate design method, comprising:

[0005] Obtain the battery pack heat dissipation requirements and water cooling plate installation requirements;

[0006] Establishing an initial geometric model of the battery water cooling plate based on the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate; wherein the initial geometric model includes at least the outer dimensions, inlet and outlet locations, and preliminary flow channel structure of the cooling plate;

[0007] Performing topology optimization on the initial geometric model to obtain a first topological structure;

[0008] Simplifying the first topological structure to obtain a second topological structure;

[0009] performing structural parameter optimization processing on the second topological structure to obtain a third topological structure;

[0010] Determining a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure;

[0011] When the cooling plate to be tested passes the cooling performance test under actual working conditions, it is determined that the cooling plate to be tested meets actual production and processing requirements.

[0012] In the above implementation process, this method can comprehensively consider the heat dissipation needs of the battery pack and the installation requirements of the water-cooling plate. After a series of steps such as initial geometric model establishment, topology optimization, simplification processing and structural parameter optimization, it can finally determine and verify the cooling plate that meets the actual production and processing requirements, thereby effectively improving the design efficiency and heat dissipation performance of the battery water-cooling plate.

[0013] Furthermore, performing topology optimization on the initial geometric model to obtain a first topological structure includes:

[0014] Obtaining a topology optimization objective; wherein the topology optimization objective is to maximize the heat transfer efficiency of the cooling plate, the maximum battery temperature, the maximum battery temperature difference, and minimize the flow resistance, wherein the maximum heat transfer efficiency of the cooling plate is the maximum battery temperature and the maximum battery temperature difference;

[0015] Performing topology optimization on the initial geometric model according to the topology optimization goal to obtain a topology optimization result;

[0016] The optimized first topology structure is obtained by performing fluid dynamics and heat conduction simulations using a finite element analysis algorithm and the optimization results.

[0017] Furthermore, the simplifying of the first topological structure to obtain the second topological structure includes:

[0018] Performing flow channel simplification processing on the first topological structure to obtain a first simplified structure;

[0019] performing edge smoothing on the first simplified structure to obtain a second simplified structure;

[0020] Performing fine structure replacement or deletion processing on the second simplified structure to obtain a second topological structure.

[0021] Furthermore, the performing structural parameter optimization processing on the second topological structure to obtain a third topological structure includes:

[0022] Determining key parameters; wherein the key parameters include at least flow channel width, fillet size, inlet and outlet dimensions, and fluid flow rate;

[0023] Establishing a multi-objective optimization model based on the key parameters; wherein the multi-objective optimization model includes at least optimization objectives and constraints;

[0024] Obtaining parameters to be optimized for the second topology structure according to the optimization target;

[0025] Determine the optimal parameter combination based on the parameters to be optimized and a preset global search algorithm;

[0026] Parameter optimization processing is performed on the second topology structure based on the optimal parameter combination to obtain a third topology structure.

[0027] Furthermore, the method further comprises:

[0028] When the cooling plate to be tested fails the cooling performance test under the actual working conditions, obtaining a test result of the cooling performance test performed on the cooling plate to be tested under the actual working conditions;

[0029] The second topology structure is re-optimized in terms of structural parameters according to the test result to obtain a third topology structure, and the step of determining the cooling plate to be tested corresponding to the third topology structure is performed.

[0030] A second aspect of the present application provides a battery cooling plate design device, the battery cooling plate design device comprising:

[0031] A first acquisition unit is used to obtain the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate;

[0032] a model building unit, configured to build an initial geometric model of the battery water cooling plate according to the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate; wherein the initial geometric model includes at least the outer dimensions, inlet and outlet positions, and preliminary flow channel structure of the cooling plate;

[0033] A topology optimization unit, configured to perform topology optimization on the initial geometric model to obtain a first topological structure;

[0034] a topology simplification unit, configured to simplify the first topology structure to obtain a second topology structure;

[0035] a parameter optimization unit, configured to perform structural parameter optimization processing on the second topological structure to obtain a third topological structure;

[0036] A first determining unit is configured to determine a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure;

[0037] The second determining unit is configured to determine that the cooling plate to be tested meets actual production and processing requirements when the cooling plate to be tested passes the cooling performance test under actual working conditions.

[0038] Furthermore, the topology optimization unit includes:

[0039] A first acquisition subunit is configured to acquire a topology optimization objective, wherein the topology optimization objective is to maximize the heat transfer efficiency of the cooling plate, the maximum battery temperature, the maximum battery temperature difference, and minimize the flow resistance, wherein the maximum heat transfer efficiency of the cooling plate is the maximum battery temperature and the maximum battery temperature difference;

[0040] A first optimization subunit is configured to perform topology optimization on the initial geometric model according to the topology optimization target to obtain a topology optimization result;

[0041] The simulation subunit is used to perform fluid dynamics and heat conduction simulations using a finite element analysis algorithm and the optimization results to obtain an optimized first topological structure.

[0042] Furthermore, the topology simplification unit includes:

[0043] a first processing subunit, configured to perform flow channel simplification processing on the first topological structure to obtain a first simplified structure;

[0044] a second processing subunit, configured to perform edge smoothing on the first simplified structure to obtain a second simplified structure;

[0045] The third processing subunit is configured to perform fine structure replacement or deletion processing on the second simplified structure to obtain a second topological structure.

[0046] Furthermore, the parameter optimization unit includes:

[0047] A first determining subunit is used to determine key parameters; wherein the key parameters include at least flow channel width, fillet size, inlet and outlet sizes, and fluid flow rate;

[0048] Establishing a subunit, for establishing a multi-objective optimization model according to the key parameters; wherein the multi-objective optimization model includes at least optimization objectives and constraints;

[0049] A second acquisition subunit, configured to acquire parameters to be optimized of the second topology structure according to the optimization target;

[0050] A second determining subunit is used to determine an optimal parameter combination according to the parameters to be optimized and a preset global search algorithm;

[0051] The second optimization subunit is configured to perform parameter optimization processing on the second topology structure based on the optimal parameter combination to obtain a third topology structure.

[0052] Furthermore, the battery cooling plate design device further includes:

[0053] A second acquiring unit is configured to acquire a test result of a cooling performance test performed on the cooling plate to be tested under actual working conditions when the cooling plate to be tested fails the cooling performance test under actual working conditions;

[0054] The parameter optimization unit is further configured to re-optimize the structural parameters of the second topology structure according to the test result to obtain a third topology structure, and trigger the first determination unit to determine the cooling plate to be tested corresponding to the third topology structure.

[0055] A third aspect of the present application provides an electronic device, comprising 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 cooling plate design method described in any one of the first aspects of the present application.

[0056] A fourth aspect 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 cooling plate design method described in any one of the first aspects of the present application is executed.

[0057] The beneficial effects of this application are: the method and device can combine the characteristics of topology optimization and parameter optimization to quickly design water-cooling plate components that meet actual production and processing requirements and meet battery cooling performance requirements. This avoids the substantial manufacturing and testing costs associated with trial-and-error and empirical design methods, significantly improving production efficiency and reducing costs. Furthermore, it can address the existing problems of complex topology optimization structures, the difficulty of processing and manufacturing, and the inability to globally optimize structural parameter optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] 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.

[0059] Figure 1 A schematic diagram of a flow chart of a battery cooling plate design method provided in an embodiment of the present application;

[0060] Figure 2 A schematic diagram illustrating an example flow of a battery cooling plate design method provided in an embodiment of the present application;

[0061] Figure 3 A schematic flow chart of another battery cooling plate design method provided in an embodiment of the present application;

[0062] Figure 4 A schematic structural diagram of a cooling plate provided in an embodiment of the present application;

[0063] Figure 5A schematic diagram of the structure of a cooling plate and a battery combined together provided in an embodiment of the present application;

[0064] Figure 6 A schematic diagram of a topology optimization process provided in an embodiment of the present application;

[0065] Figure 7 A schematic diagram of a topology simplification process provided in an embodiment of the present application;

[0066] Figure 8 A schematic diagram of a topology simplification result provided in an embodiment of the present application;

[0067] Figure 9 A schematic diagram showing a comparison of cooling effect simulation results of three schemes provided in an embodiment of the present application;

[0068] Figure 10 A schematic structural diagram of a battery cooling plate design device provided in an embodiment of the present application;

[0069] Figure 11 A schematic structural diagram of another battery cooling plate design device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0070] 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.

[0071] 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.

[0072] Example 1

[0073] Please see Figure 1 , Figure 1 This is a flow chart of a battery cooling plate design method provided in this embodiment. The battery cooling plate design method includes:

[0074] S101. Obtain the battery pack heat dissipation requirements and water cooling plate installation requirements.

[0075] S102. Establish an initial geometric model of the battery water cooling plate based on the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate; wherein the initial geometric model at least includes the outer dimensions, inlet and outlet positions, and preliminary flow channel structure of the cooling plate.

[0076] S103: Perform topology optimization on the initial geometric model to obtain a first topological structure.

[0077] S104: Simplify the first topological structure to obtain a second topological structure.

[0078] S105 , performing structural parameter optimization processing on the second topological structure to obtain a third topological structure.

[0079] S106 , determining a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure.

[0080] S107. When the cooling plate to be tested passes the cooling performance test under actual working conditions, it is determined that the cooling plate to be tested meets actual production and processing requirements.

[0081] Please see Figure 2 , Figure 2 A schematic diagram of an example flow chart of a battery cooling plate design method is shown.

[0082] 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.

[0083] 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.

[0084] It can be seen that the battery cooling plate design method described in this embodiment can quickly design water-cooling plate parts that meet actual production and processing requirements and battery cooling performance requirements, thereby improving design efficiency and reducing manufacturing costs and testing cycles.

[0085] Example 2

[0086] Please see Figure 3 , Figure 3 This is a flow chart of a battery cooling plate design method provided in this embodiment. The battery cooling plate design method includes:

[0087] S201. Obtain the heat dissipation requirements of the battery pack and the water cooling plate installation requirements.

[0088] S202. Establish an initial geometric model of the battery water cooling plate based on the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate; wherein the initial geometric model at least includes the outer dimensions, inlet and outlet positions, and preliminary flow channel structure of the cooling plate.

[0089] In this embodiment, the method can establish an initial geometric model of the battery water cooling plate based on the specific heat dissipation requirements of the battery pack and the installation space of the water cooling plate. The initial geometric model includes the cooling plate's external dimensions, inlet and outlet locations, and preliminary flow channel design.

[0090] Please see Figure 4 , Figure 4 A schematic structural diagram of a cooling plate is shown.

[0091] Please see Figure 5 , Figure 5 A schematic diagram of the structure of a cooling plate and a battery is shown. Figure 5 You can see how the battery pack is cooled.

[0092] S203, obtaining a topology optimization target; wherein the topology optimization target is to maximize the heat transfer efficiency of the cooling plate, the maximum battery temperature, the maximum battery temperature difference, and minimize the flow resistance, and maximize the heat transfer efficiency of the cooling plate, the maximum battery temperature, and the maximum battery temperature difference.

[0093] In this embodiment, the method performs topological optimization on the initial geometric model, and the optimization goal is to maximize the heat transfer efficiency of the cooling plate (maximum battery temperature, maximum battery temperature difference) and minimize the flow resistance.

[0094] S204. Perform topology optimization on the initial geometric model according to the topology optimization goal to obtain a topology optimization result.

[0095] In this embodiment, the method uses finite element analysis (FEA) to simulate fluid dynamics and heat conduction to generate an optimized topological structure. This structure is usually complex and difficult to directly use for processing and manufacturing.

[0096] Please see Figure 6 , Figure 6 A schematic diagram of a topology optimization process is shown.

[0097] S205. Perform fluid dynamics and heat conduction simulations using a finite element analysis algorithm and the optimization results to obtain an optimized first topology structure.

[0098] S206 , performing flow channel simplification processing on the first topological structure to obtain a first simplified structure.

[0099] S207: Perform edge smoothing on the first simplified structure to obtain a second simplified structure.

[0100] S208: Perform fine structure replacement or deletion processing on the second simplified structure to obtain a second topological structure.

[0101] In this embodiment, the method simplifies the complex structure after topology optimization to improve its machinability.

[0102] In this embodiment, the simplification step includes, but is not limited to, flow channel simplification, edge smoothing, and structural replacement or deletion of unmachinable fine structures, to ensure that the simplified structure is practically machinable while maintaining cooling performance.

[0103] Please see Figure 7 , Figure 7 A schematic diagram of a topology simplification process is shown.

[0104] S209, determining key parameters; wherein the key parameters include at least flow channel width, fillet size, inlet and outlet sizes, and fluid flow rate.

[0105] In this embodiment, the method optimizes structural parameters based on a simplified topological structure. Key parameters (such as channel width, fillet size, inlet and outlet dimensions, and fluid flow rate) are selected to establish a multi-objective optimization model with the goal of further improving cooling efficiency and reducing fluid resistance.

[0106] S210. Establish a multi-objective optimization model based on key parameters; wherein the multi-objective optimization model at least includes optimization objectives and constraints.

[0107] In this embodiment, the optimization goal is to minimize the maximum temperature and maximum temperature difference of the battery; the constraint condition is that the flow resistance is less than a specific value.

[0108] S211 : Obtain parameters to be optimized of the second topology structure according to the optimization target.

[0109] Please see Figure 8 , Figure 8 Seven parameters to be optimized are shown, namely two flow channel radius parameters R1 and R2, and five flow channel width parameters t1, t2, t3, t4, and t5.

[0110] S212: Determine the best parameter combination based on the parameters to be optimized and a preset global search algorithm.

[0111] In this embodiment, the method uses an optimization algorithm such as a multi-objective genetic algorithm (MOGA) or a particle swarm optimization (PSO) to perform a global search to find the best parameter combination.

[0112] S213 : Optimize the parameters of the second topology structure based on the optimal parameter combination to obtain a third topology structure.

[0113] In this embodiment, the basic dimensions of the simplified flow channel and the dimensions after parameter optimization are shown in Table 1.

[0114] Table 1 Comparison of structural parameters and simulation results of different schemes

[0115]

[0116] In this embodiment, the cooling effects of the three schemes are compared through FEA fluid dynamics and heat conduction simulation. The results are as follows: Figure 9 As shown. Among them, Figure 9The following figure shows a schematic diagram comparing the cooling effect simulation results of the three solutions. The results show that the simplified flow channel solution obtained through parameter optimization not only meets the processing requirements, but also has a cooling effect comparable to that obtained after topology optimization.

[0117] S214. Determine a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure.

[0118] In this embodiment, the method can manufacture a cooling plate based on the optimized structure and parameters, and perform a cooling performance test under actual working conditions.

[0119] S215. When the cooling plate to be tested passes the cooling performance test under actual working conditions, it is determined that the cooling plate to be tested meets actual production and processing requirements.

[0120] In this embodiment, the method can also verify the effect of the optimized design through test results. If there is a deviation, the method returns to the parameter optimization step for further optimization.

[0121] As an optional implementation, the method further includes:

[0122] When the cooling plate to be tested fails the cooling performance test under the actual working conditions, obtaining a test result of the cooling performance test of the cooling plate to be tested under the actual working conditions;

[0123] The second topology structure is re-optimized for structural parameters according to the test result to obtain a third topology structure, and a cooling plate to be tested corresponding to the third topology structure is determined.

[0124] By implementing this embodiment, the test results can be compared with the simulation results. For the parts with unsatisfactory cooling effects, the parameters can be further adjusted or the local structure can be optimized through a feedback optimization cycle until the expected cooling performance is achieved.

[0125] 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.

[0126] 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.

[0127] It can be seen that the battery cooling plate design method described in this embodiment can quickly design water-cooling plate parts that meet actual production and processing requirements and battery cooling performance requirements, thereby improving design efficiency and reducing manufacturing costs and testing cycles.

[0128] Example 3

[0129] Please see Figure 10 , Figure 10 This is a schematic diagram of the structure of a battery cooling plate design device provided in this embodiment. Figure 10 As shown, the battery cooling plate design device includes:

[0130] A first acquisition unit 310 is used to obtain the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate;

[0131] The model building unit 320 is used to establish an initial geometric model of the battery water cooling plate according to the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate. The initial geometric model includes at least the outer dimensions, inlet and outlet locations, and preliminary flow channel structure of the cooling plate.

[0132] A topology optimization unit 330 is configured to perform topology optimization on the initial geometric model to obtain a first topological structure;

[0133] A topology simplification unit 340 is configured to simplify the first topology structure to obtain a second topology structure;

[0134] a parameter optimization unit 350 configured to perform structural parameter optimization processing on the second topological structure to obtain a third topological structure;

[0135] A first determining unit 360 is configured to determine a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure;

[0136] The second determining unit 370 is configured to determine that the cooling plate to be tested meets actual production and processing requirements when the cooling plate to be tested passes the cooling performance test under actual working conditions.

[0137] In this embodiment, the explanation of the battery cooling plate design device can refer to the description in Example 1 or Example 2, and will not be further elaborated in this embodiment.

[0138] It can be seen that the battery cooling plate design device described in this embodiment can quickly design water-cooling plate parts that meet actual production and processing requirements and battery cooling performance requirements, thereby improving design efficiency and reducing manufacturing costs and testing cycles.

[0139] Example 4

[0140] Please see Figure 11 , Figure 11 This is a schematic diagram of the structure of a battery cooling plate design device provided in this embodiment. Figure 11 As shown, the battery cooling plate design device includes:

[0141] A first acquisition unit 310 is used to obtain the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate;

[0142] The model building unit 320 is used to establish an initial geometric model of the battery water cooling plate according to the heat dissipation requirements of the battery pack and the installation requirements of the water cooling plate. The initial geometric model includes at least the outer dimensions, inlet and outlet locations, and preliminary flow channel structure of the cooling plate.

[0143] A topology optimization unit 330 is configured to perform topology optimization on the initial geometric model to obtain a first topological structure;

[0144] A topology simplification unit 340 is configured to simplify the first topology structure to obtain a second topology structure;

[0145] a parameter optimization unit 350 configured to perform structural parameter optimization processing on the second topological structure to obtain a third topological structure;

[0146] A first determining unit 360 is configured to determine a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure;

[0147] The second determining unit 370 is configured to determine that the cooling plate to be tested meets actual production and processing requirements when the cooling plate to be tested passes the cooling performance test under actual working conditions.

[0148] As an optional implementation, the topology optimization unit 330 includes:

[0149] The first acquisition subunit 331 is used to obtain a topology optimization target. The topology optimization target is to maximize the heat transfer efficiency of the cooling plate, the maximum battery temperature, the maximum battery temperature difference, and minimize the flow resistance. The maximum heat transfer efficiency of the cooling plate is the maximum battery temperature and the maximum battery temperature difference.

[0150] The first optimization subunit 332 is used to perform topology optimization on the initial geometric model according to the topology optimization target to obtain a topology optimization result;

[0151] The simulation subunit 333 is used to perform fluid dynamics and heat conduction simulations using a finite element analysis algorithm and optimization results to obtain an optimized first topology structure.

[0152] As an optional implementation manner, the topology simplification unit 340 includes:

[0153] A first processing subunit 341 is configured to perform flow channel simplification processing on the first topological structure to obtain a first simplified structure;

[0154] A second processing sub-unit 342 is configured to perform edge smoothing on the first simplified structure to obtain a second simplified structure;

[0155] The third processing subunit 343 is configured to perform fine structure replacement or deletion processing on the second simplified structure to obtain a second topological structure.

[0156] As an optional implementation, the parameter optimization unit 350 includes:

[0157] The first determining subunit 351 is used to determine key parameters; wherein the key parameters include at least flow channel width, fillet size, inlet and outlet sizes, and fluid flow rate;

[0158] Establishing subunit 352, for establishing a multi-objective optimization model based on key parameters; wherein the multi-objective optimization model includes at least optimization objectives and constraints;

[0159] The second acquisition subunit 353 is configured to acquire parameters to be optimized of the second topology structure according to the optimization target;

[0160] The second determining subunit 354 is used to determine the optimal parameter combination according to the parameters to be optimized and a preset global search algorithm;

[0161] The second optimization subunit 355 is configured to perform parameter optimization processing on the second topology structure based on the optimal parameter combination to obtain a third topology structure.

[0162] As an optional embodiment, the battery cooling plate design device further includes:

[0163] The second acquiring unit 380 is configured to acquire a test result of the cooling performance test of the cooling plate to be tested under the actual working conditions when the cooling plate to be tested fails the cooling performance test under the actual working conditions;

[0164] The parameter optimization unit 350 is further configured to re-optimize the structural parameters of the second topology structure according to the test results to obtain a third topology structure, and trigger the first determination unit 360 to determine the cooling plate to be tested corresponding to the third topology structure.

[0165] In this embodiment, the explanation of the battery cooling plate design device can refer to the description in Example 1 or Example 2, and will not be further elaborated in this embodiment.

[0166] It can be seen that the battery cooling plate design device described in this embodiment can quickly design water-cooling plate parts that meet actual production and processing requirements and battery cooling performance requirements, thereby improving design efficiency and reducing manufacturing costs and testing cycles.

[0167] 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 cooling plate design method in embodiment 1 or embodiment 2 of the present application.

[0168] 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 cooling plate design method in embodiment 1 or embodiment 2 of the present application is executed.

[0169] 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.

[0170] 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.

[0171] 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 a number of instructions for enabling a computer device (which can be a personal computer, server, or 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 USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0172] 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.

[0173] 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.

[0174] 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 cooling plate design method, characterized in that: include: Obtain battery pack cooling requirements and cooling plate installation requirements; Establishing an initial geometric model of the battery cooling plate based on the heat dissipation requirements of the battery pack and the installation requirements of the cooling plate; wherein the initial geometric model includes at least the outer dimensions, inlet and outlet locations, and preliminary flow channel structure of the cooling plate; Obtaining a topology optimization goal; wherein the topology optimization goal is to maximize the heat transfer efficiency of the cooling plate and minimize the flow resistance, and the goal of maximizing the heat transfer efficiency of the cooling plate is to reduce the maximum temperature of the battery and reduce the maximum temperature difference of the battery; Performing topology optimization on the initial geometric model according to the topology optimization goal to obtain a topology optimization result; Performing fluid dynamics and heat conduction simulations using a finite element analysis algorithm and the topology optimization results to obtain an optimized first topology structure; Performing flow channel simplification processing on the first topological structure to obtain a first simplified structure; performing edge smoothing on the first simplified structure to obtain a second simplified structure; Performing fine structure replacement or deletion processing on the second simplified structure to obtain a second topological structure; performing structural parameter optimization processing on the second topological structure to obtain a third topological structure; Determining a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure; When the cooling plate to be tested passes the cooling performance test under actual working conditions, it is determined that the cooling plate to be tested meets actual production and processing requirements.

2. The battery cooling plate design method according to claim 1, characterized in that: The performing structural parameter optimization processing on the second topological structure to obtain a third topological structure includes: Determining key parameters; wherein the key parameters include at least flow channel width, fillet size, inlet and outlet dimensions, and fluid flow rate; Establishing a multi-objective optimization model based on the key parameters; wherein the multi-objective optimization model includes at least optimization objectives and constraints; Obtaining parameters to be optimized for the second topology structure according to the optimization target; Determine the optimal parameter combination based on the parameters to be optimized and a preset global search algorithm; Parameter optimization processing is performed on the second topology structure based on the optimal parameter combination to obtain a third topology structure.

3. The battery cooling plate design method according to claim 1, characterized in that: The method further comprises: When the cooling plate to be tested fails the cooling performance test under the actual working conditions, obtaining a test result of the cooling performance test performed on the cooling plate to be tested under the actual working conditions; The second topology structure is re-optimized in terms of structural parameters according to the test result to obtain a third topology structure, and the step of determining the cooling plate to be tested corresponding to the third topology structure is performed.

4. A battery cooling plate design device, characterized in that: The battery cooling plate design device includes: A first acquisition unit is used to obtain the heat dissipation requirements of the battery pack and the installation requirements of the cooling plate; a model building unit, configured to build an initial geometric model of the battery cooling plate based on the heat dissipation requirements of the battery pack and the installation requirements of the cooling plate; wherein the initial geometric model includes at least the outer dimensions, inlet and outlet positions, and preliminary flow channel structure of the cooling plate; A topology optimization unit, configured to perform topology optimization on the initial geometric model to obtain a first topological structure; a topology simplification unit, configured to simplify the first topology structure to obtain a second topology structure; a parameter optimization unit, configured to perform structural parameter optimization processing on the second topological structure to obtain a third topological structure; A first determining unit is configured to determine a cooling plate to be tested corresponding to the third topological structure; wherein the cooling plate to be tested is a cooling plate actually manufactured according to the third topological structure; A second determining unit is configured to determine that the cooling plate to be tested meets actual production and processing requirements when the cooling plate to be tested passes the cooling performance test under actual working conditions; Wherein, the topology optimization unit includes: a first acquisition subunit, configured to acquire a topology optimization objective; wherein the topology optimization objective is to maximize the heat transfer efficiency of the cooling plate and minimize the flow resistance, and the objective of maximizing the heat transfer efficiency of the cooling plate is to reduce the maximum temperature of the battery and reduce the maximum temperature difference of the battery; A first optimization subunit is configured to perform topology optimization on the initial geometric model according to the topology optimization target to obtain a topology optimization result; a simulation subunit, configured to perform fluid dynamics and heat conduction simulations using a finite element analysis algorithm and the topology optimization results to obtain an optimized first topology structure; The topology simplification unit includes: a first processing subunit, configured to perform flow channel simplification processing on the first topological structure to obtain a first simplified structure; a second processing subunit, configured to perform edge smoothing on the first simplified structure to obtain a second simplified structure; The third processing subunit is configured to perform fine structure replacement or deletion processing on the second simplified structure to obtain a second topological structure.

5. 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 cooling plate design method according to any one of claims 1 to 3.

6. 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 cooling plate design method according to any one of claims 1 to 3 is executed.

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