Three-dimensional flow field and temperature field coupling simulation method of cell capacity grading equipment

Abstract

The invention discloses a three-dimensional flow field and temperature field coupling simulation method for battery cell capacity grading equipment, and relates to the technical field of battery cell manufacturing. The method specifically comprises the following steps: S1, constructing a three-dimensional model according to the actual size of the cell capacity grading equipment, and cutting the three-dimensional model into a fluid domain and a solid domain to form an optimization model; s2, importing the optimization model into a simulation system, defining a fluid domain material and a solid domain material of the optimization model in the simulation system, and performing parameter setting to generate a simulation model; s3, setting boundary conditions of a fluid domain and a solid domain in the simulation model; s4, performing grid division on the simulation model, and setting a fluid-solid coupling solver; and S5, performing visualization processing on a simulation result to obtain flow field and temperature field distribution data. The invention aims to optimize the air-cooling heat dissipation layout of the cell capacity grading equipment and improve the heat dissipation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of battery cell manufacturing, and in particular to a three-dimensional flow field and temperature field coupling simulation method for battery cell capacity division equipment. Background Art

[0002] The battery cell is the core component of modern lithium batteries, and its performance directly affects the battery capacity, charge and discharge efficiency, service life and safety. In the production process of battery cells, the capacity division process is a crucial link. The capacity division process usually involves a series of charge and discharge cycles on the battery cell to ensure the consistency and stability of its capacity, thereby improving the overall performance of the battery. However, during the capacity division process, the battery cell generates a lot of heat due to charging and discharging. If effective heat dissipation and cooling are not carried out in time, the battery cell temperature will be too high, and even the performance and safety of the battery cell will be affected. Therefore, the heat dissipation design of the battery cell capacity division equipment has become a key factor in ensuring the quality and safety of the battery cell.

[0003] At present, the commonly used heat dissipation methods for battery cell capacity division equipment mainly include air cooling and liquid cooling. Air cooling uses fans to accelerate air flow to take away the heat generated during the battery cell capacity division process; liquid cooling uses liquid cooling pipes to take away the heat, and the cooling effect is more efficient. However, most of the existing heat dissipation devices are designed based on experience and lack systematic analysis and optimization. In particular, factors such as the installation position of the fan, air duct design, and wind speed control can usually only be adjusted based on experience, and lack a scientific basis based on thermodynamics and fluid mechanics analysis. This leads to differences in heat generation during the capacity division process for batteries of different models and specifications, and the heat dissipation effect cannot be balanced and optimized, resulting in uneven temperature distribution of the battery cells, and even excessively high battery cell temperatures in some areas, which seriously affects the performance and consistency of the battery cells.

[0004] Therefore, how to optimize the air-cooling layout of the battery cell capacity division equipment and improve the heat dissipation efficiency has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The main purpose of the present invention is to provide a three-dimensional flow field and temperature field coupling simulation method for a battery cell capacity division device, aiming to optimize the air-cooling heat dissipation layout of the battery cell capacity division device and improve the heat dissipation efficiency.

[0006] In order to achieve the above object, the present invention proposes a three-dimensional flow field and temperature field coupling simulation method for a cell capacity division device, comprising the following steps: S1: According to the actual size of the battery cell capacity division equipment, a three-dimensional model is constructed and the three-dimensional model is cut into fluid domain and solid domain to form an optimized model; S2: importing the optimization model into a simulation system, defining and setting parameters of the fluid domain materials and solid domain materials of the optimization model in the simulation system, and generating a simulation model; S3: Setting boundary conditions of fluid and solid domains in the simulation model; S4: Meshing the simulation model and setting the fluid-structure interaction solver; S5: Visualize the simulation results to obtain flow field and temperature field distribution data.

[0007] It can effectively solve the temperature control and heat emission problems in battery cell capacity distribution equipment. Through accurate three-dimensional flow field and temperature field coupling simulation, the temperature distribution and airflow path can be predicted and optimized during the equipment design stage to avoid high temperature accumulation leading to battery cell performance degradation or safety hazards. At the same time, simulation analysis helps to improve the heat dissipation efficiency of the air cooling system, reduce energy consumption, and provide a theoretical basis for equipment structure optimization and fan parameter adjustment, avoiding relying solely on experience.

[0008] In one embodiment of the present application, step S1 includes the following steps: S11: According to the actual size of the battery cell capacity classification equipment, a 3D model is constructed based on 3D modeling software; S12: performing a Goshen operation on the three-dimensional model to cut the three-dimensional model into a fluid domain and a solid domain.

[0009] It can accurately divide the fluid domain and solid domain in the battery cell capacity division equipment to ensure that the physical boundary conditions in the simulation calculation are reflected, thereby realizing the precise coupling analysis of the flow field and temperature field of the battery cell capacity division equipment during operation.

[0010] In one embodiment of the present application, step S2 includes the following steps: S21: importing the optimization model into CFD simulation software, defining the material of the fluid domain as air, and defining the solid domain as a solid medium; S22: Parameters of air and solid medium are set respectively to generate a simulation model.

[0011] It can ensure that the fluid domain and solid domain materials of the cell capacity division equipment are accurately defined, and set reasonable physical parameters for the simulation model. Through the precise setting of air and solid media, the simulation model can truly reflect the heat exchange process and temperature distribution of the equipment, thereby helping designers optimize the structure and heat dissipation system of the equipment, avoid high temperature accumulation, improve the thermal management efficiency of the cell capacity division equipment, and enhance the overall heat dissipation performance and safety of the equipment.

[0012] In one embodiment of the present application, the solid medium includes: at least one of a battery cell, a battery cell tray, and an air-cooled capacity distribution equipment frame.

[0013] In one embodiment of the present application, the boundary conditions of the fluid domain include: at least one of an air inlet boundary condition, an air outlet boundary condition, and a flow field type boundary condition; The boundary conditions of the solid domain include at least one of the boundary conditions of the battery cell, the boundary conditions of the battery cell tray, and the boundary conditions of the air-cooled capacity distribution equipment frame.

[0014] By setting the air inlet boundary conditions, air outlet boundary conditions or flow field type boundary conditions in the fluid domain, the flow behavior of air inside the equipment can be accurately simulated to ensure that the airflow path is consistent with the actual situation; by setting the boundary conditions of the battery cells, battery cell trays and equipment frames in the solid domain, the heat conduction and heat exchange processes of the heat source can be effectively simulated to ensure that the temperature field distribution inside the equipment is reasonable.

[0015] In one embodiment of the present application, the steps for determining the flow field type boundary condition are: The Reynolds number is calculated according to the flow velocity, temperature, pressure value of the airflow at the battery cell capacity division equipment site and the structure of the simulation model to determine whether the Reynolds number is greater than a preset threshold. If so, it indicates that the flow field type is turbulent.

[0016] In one embodiment of the present application, it is determined whether the Reynolds number is greater than a preset threshold, and if not, it indicates that the flow field type is laminar flow.

[0017] In one embodiment of the present application, step S4 includes the following steps: S41: Meshing the fluid domain; S42: Meshing of solid domain; S43: Observe the meshing results, perform local meshing on the target quality to ensure the convergence of the calculation results; S44: Set the fluid-solid coupling solver and solve it with the direct solver method. Ensure the simulation accuracy of key areas by refining the mesh division of the fluid domain and the solid domain; ensure the convergence of the simulation results by locally adjusting the mesh quality; ensure accurate simulation of heat exchange between fluid and solid by setting the fluid-solid coupling solver and using the direct solver to solve, thereby achieving high-precision three-dimensional flow field and temperature field coupling simulation, and improving the service life and safety of the battery cell.

[0018] The above technical solution can effectively solve the temperature control and heat emission problems in battery cell capacity distribution equipment. Through accurate three-dimensional flow field and temperature field coupling simulation, the temperature distribution and airflow path can be predicted and optimized during the equipment design stage to avoid high temperature accumulation leading to battery cell performance degradation or safety hazards. At the same time, simulation analysis helps to improve the heat dissipation efficiency of the air cooling system, reduce energy consumption, and provide a theoretical basis for equipment structure optimization and fan parameter adjustment, avoiding relying solely on experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is described in detail below with reference to specific embodiments and accompanying drawings, wherein: Figure 1 This is a schematic diagram of the process structure of the first embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the following specific embodiments are only used to explain the present invention and do not constitute a limitation to the present invention.

[0021] like Figure 1 As shown, in order to achieve the above purpose, the present invention proposes a three-dimensional flow field and temperature field coupling simulation method for a cell capacity division device, comprising the following steps: S1: According to the actual size of the battery cell capacity division equipment, a three-dimensional model is constructed and the three-dimensional model is cut into fluid domain and solid domain to form an optimized model; S2: importing the optimization model into a simulation system, defining and setting parameters of the fluid domain materials and solid domain materials of the optimization model in the simulation system, and generating a simulation model; S3: Setting boundary conditions of fluid and solid domains in the simulation model; S4: Meshing the simulation model and setting the fluid-structure interaction solver; S5: Visualize the simulation results to obtain flow field and temperature field distribution data.

[0022] Specifically, step S1: According to the actual size of the battery cell capacity division equipment, by measuring the geometric dimensions of each component of the equipment, a three-dimensional modeling software (such as SolidWorks or AutoCAD) is used to build a three-dimensional model of the battery cell capacity division equipment. During the modeling process, it is necessary to accurately reflect the geometric shapes of each part of the equipment, including battery cells, trays, air-cooled equipment frames, air inlets and outlets, etc. After the three-dimensional model is built, the model is cut to divide the entire equipment model into a fluid domain and a solid domain. The fluid domain mainly includes the air area inside the equipment, and the solid domain includes components such as battery cells, trays, and equipment frames. Through this cutting operation, the model can be effectively simplified, which is convenient for subsequent simulation analysis and provides space for simulation optimization.

[0023] Step S2: Import the optimized three-dimensional model into the simulation system. In the simulation system, first define the material types of the fluid domain and the solid domain. The fluid domain material is usually defined as air, and the solid domain material needs to be defined as the battery cell, tray, device frame, etc. Each material needs to be set with corresponding physical properties, including thermal conductivity, constant pressure heat capacity, density, etc. For example, the thermal conductivity of air is 0.024 W / (m·K), the thermal conductivity of the battery cell is 237 W / (m·K), the tray is 0.25W / (m·K), and the device frame is 16.3 W / (m·K). Parameters such as density and heat capacity also need to be accurately set according to the actual material.

[0024] Step S3: In the simulation system, the boundary conditions of the fluid domain and the solid domain need to be set according to the actual working conditions. First, the boundary conditions are set at the air inlet and outlet in the fluid domain. The air temperature at the air inlet can be set to room temperature (such as 293.15 K), and the flow rate is set to the value required by the fan design (such as 5.4 m / s). The temperature setting of the air outlet is similar to that of the air inlet, and the flow rate is set to 0.05 m / s. Secondly, for the solid domain, the thermal conductivity characteristics of components such as battery cells, trays, and frames require setting heat source and heat flow boundary conditions. For example, heat is generated when the battery cell is charged and discharged, and the heat source of the battery cell can be set by the heat flux density. For other solid components, such as trays and frames, heat flow transfer conditions are set to ensure that the heat exchange between them and the fluid domain is reasonably simulated. In addition, the heat transfer between the solid domain and the fluid domain is coupled and set by the convection heat transfer coefficient.

[0025] Step S4: When meshing, first mesh the fluid domain, especially the air inlet and outlet areas, which need to be meshed finely to ensure accurate simulation of air flow. For the solid domain, especially the battery cell area, fine meshing is required because the battery cell is where the heat source is. Areas with less impact, such as the equipment frame, can be appropriately coarsened to reduce the amount of calculation. After completing the meshing, it is necessary to select the corresponding solver for simulation calculation based on the set fluid-solid coupling boundary conditions. The solver selects a numerical solution suitable for fluid and solid coupling in order to simultaneously solve the coupling problems of flow field and temperature field.

[0026] Step S5: After the simulation solution is completed, the simulation results are processed using the visualization tools in the simulation system. The velocity distribution, temperature field distribution, and heat exchange between the fluid and the solid can be viewed through slicing, contour lines, and streamlines. Through slicing analysis, the temperature distribution in the battery cell can be observed to determine whether there is local overheating. Streamline diagrams can help analyze the structure of air flow and observe whether there are turbulent or uneven areas in the flow. Based on the visualization results, the equipment design can be further optimized, the fan parameters can be adjusted, and the air duct structure can be optimized to improve the heat dissipation performance and the overall efficiency of the equipment.

[0027] The above technical solution can effectively solve the temperature control and heat emission problems in battery cell capacity distribution equipment. Through accurate three-dimensional flow field and temperature field coupling simulation, the temperature distribution and airflow path can be predicted and optimized during the equipment design stage to avoid high temperature accumulation leading to battery cell performance degradation or safety hazards. At the same time, simulation analysis helps to improve the heat dissipation efficiency of the air cooling system, reduce energy consumption, and provide a theoretical basis for equipment structure optimization and fan parameter adjustment, avoiding relying solely on experience.

[0028] In one embodiment of the present application, step S1 includes the following steps: S11: According to the actual size of the battery cell capacity classification equipment, a 3D model is constructed based on 3D modeling software; S12: performing a Goshen operation on the three-dimensional model to cut the three-dimensional model into a fluid domain and a solid domain.

[0029] Specifically, step S11: collect the actual size data of the battery cell capacity separation equipment, including the geometric dimensions of each component of the equipment (such as battery cells, trays, equipment frames, air inlets, air outlets, etc.). Use 3D modeling software (such as SolidWorks, AutoCAD, CATIA, etc.) to build a 3D model of the equipment based on the actual size information.

[0030] Step S12: After the three-dimensional model is constructed, the 3D model is divided into a fluid domain and a solid domain by performing a Grossmann operation. The fluid domain generally includes the air area inside the device, and the solid domain includes physical components such as the battery cell, tray, and device frame. Grossmann operation mainly divides the geometric shape of the device model geometrically, reasonably distinguishes between the fluid and solid areas, and provides clear boundary conditions for subsequent simulation calculations.

[0031] By adopting the above technical solution, the fluid domain and solid domain in the battery cell capacity division device can be accurately divided, ensuring that the physical boundary conditions in the simulation calculation are reflected, thereby realizing the precise coupling analysis of the flow field and temperature field of the battery cell capacity division device during operation.

[0032] In one embodiment of the present application, step S2 includes the following steps: S21: importing the optimization model into CFD simulation software (fluid mechanics simulation software), defining the material of the fluid domain as air, and defining the solid domain as a solid medium; S22: Parameters of air and solid medium are set respectively to generate a simulation model.

[0033] Specifically, step S21: after completing the construction of the optimization model and cutting it into fluid domain and solid domain, import the optimization model into the CFD simulation software. When importing, the fluid domain needs to be defined as air, because air is used as a medium for heat exchange in the battery cell capacity distribution equipment. The solid domain includes hard materials such as battery cells, trays, and equipment frames, which are defined as solid media. Ensure that each part has the correct physical properties during the simulation process and meets the actual equipment working conditions.

[0034] Step S22: In the simulation system, each part of the fluid domain and the solid domain needs to set relevant physical parameters in order to accurately simulate phenomena such as heat transfer, flow and temperature distribution. For air (fluid domain), its density, specific heat capacity, thermal conductivity and other parameters need to be set. Common air parameters are as follows: density is 1.225 kg / m³, thermal conductivity is 0.024 W / (m·K), and specific heat capacity is 1000 J / (kg·K). For solid media (solid domain), the physical parameters of the battery cell, tray, equipment frame, etc. need to be set. The thermal conductivity of the battery cell is typically 237 W / (m·K), the specific heat capacity is 900 J / (kg·K), and the density is 2700 kg / m³; the thermal conductivity of the tray is 0.25 W / (m·K), the specific heat capacity is 1300 J / (kg·K), and the density is 900 kg / m³; the thermal conductivity of the equipment frame is 16.3 W / (m·K), the specific heat capacity is 500 J / (kg·K), and the density is 7900 kg / m³. Based on these parameters, a complete simulation model is generated to ensure that all physical properties match the actual material.

[0035] The above technical solution can ensure that the fluid domain and solid domain materials of the cell capacity division equipment are accurately defined, and reasonable physical parameters are set for the simulation model. Through the precise setting of air and solid media, the simulation model can truly reflect the heat exchange process and temperature distribution of the equipment, thereby helping designers optimize the structure and heat dissipation system of the equipment, avoid high temperature accumulation, improve the thermal management efficiency of the cell capacity division equipment, and enhance the overall heat dissipation performance and safety of the equipment.

[0036] In one embodiment of the present application, the solid medium includes: at least one of a battery cell, a battery cell tray, and an air-cooled capacity distribution equipment frame.

[0037] In one embodiment of the present application, the boundary conditions of the fluid domain include: at least one of an air inlet boundary condition, an air outlet boundary condition, and a flow field type boundary condition; The boundary conditions of the solid domain include at least one of the boundary conditions of the battery cell, the boundary conditions of the battery cell tray, and the boundary conditions of the air-cooled capacity distribution equipment frame.

[0038] Specifically, the air temperature at the air inlet is set to room temperature, such as 293.15 K, and the air inlet velocity is set according to the design parameters of the fan, such as 5.4 m / s. This condition is used to simulate the initial flow state of air when it enters the device to ensure that the air flow in the model conforms to the actual operation of the device. The air temperature at the air outlet is set to a temperature close to that of the air inlet, such as 293.15 K, and the flow rate is set to a lower value based on actual test data, such as 0.05 m / s, to simulate the discharge state of air after heat exchange inside the device.

[0039] The flow field type of the fluid is determined by calculating the Reynolds number (Re). In the simulation, the flow field type boundary condition is set to turbulent, which is applicable to the case of Re>2000, simulating the turbulent state of air in a complex structure, thereby improving the heat exchange efficiency.

[0040] The battery cell is used as a heat source and is set as a constant heat flux boundary condition in the simulation to simulate the heat generated by the battery cell during the charging and discharging process. According to actual test or design requirements, the heat source intensity of the battery cell can be set as the heat flux density per unit area, such as 3000 W / m², to reflect its internal heating characteristics.

[0041] The cell tray exchanges heat with the cell and air through thermal conduction. In the simulation, the surface of the cell tray in contact with the cell is set as a thermal conduction boundary condition, and the surface of the tray in contact with the air is set as a convection boundary condition. The thermal conductivity, specific heat capacity, and density of the tray are set according to the material properties to ensure that its thermal conductivity truly reflects the actual situation. The device frame usually exchanges heat with the air, and its surface is set as a convection boundary condition to simulate the process of the frame dissipating heat into the environment through contact with the air.

[0042] By adopting the above technical scheme, by setting the air inlet boundary conditions, air outlet boundary conditions or flow field type boundary conditions in the fluid domain, the flow behavior of air inside the equipment can be accurately simulated to ensure the consistency of the airflow path with the actual situation; by setting the boundary conditions of the battery cells, battery cell trays and equipment frames in the solid domain, the heat conduction and heat exchange processes of the heat source can be effectively simulated to ensure that the temperature field distribution inside the equipment is reasonable.

[0043] In one embodiment of the present application, the steps for determining the flow field type boundary condition are: The Reynolds number is calculated according to the flow velocity, temperature, pressure value of the airflow at the battery cell capacity division equipment site and the structure of the simulation model to determine whether the Reynolds number is greater than a preset threshold. If so, it indicates that the flow field type is turbulent.

[0044] Specifically, by actually measuring the airflow velocity, temperature, pressure and other data in the equipment. Common measurement methods include using anemometers, temperature sensors and pressure sensors to conduct real-time tests at the air inlet, air outlet and multiple key locations inside the equipment.

[0045] The Reynolds number is calculated based on the field test data and the structural information of the simulation model. The calculation formula of the Reynolds number is: ; Where Re represents the Reynolds number; Indicates the density of air (unit: kg / m³); Indicates the flow velocity of the airflow (unit: m / s); Indicates the characteristic length of the airflow (unit: m), which is the diameter of the air inlet of the equipment or the characteristic length of the widest part of the equipment; Indicates the dynamic viscosity of air (unit: kg / (m·s)).

[0046] If the Reynolds number (Re) is greater than a preset threshold, the flow field type is determined to be turbulent. The preset threshold in this application is 2000.

[0047] If the Reynolds number is less than or equal to the preset threshold, the flow field type is laminar flow.

[0048] In one embodiment of the present application, it is determined whether the Reynolds number is greater than a preset threshold, and if not, it indicates that the flow field type is laminar flow.

[0049] In one embodiment of the present application, step S4 includes the following steps: S41: Meshing the fluid domain; S42: Meshing of solid domain; S43: Observe the meshing results, perform local meshing on the target quality to ensure the convergence of the calculation results; S44: Set the fluid-structure interaction solver and solve it using the direct solver method.

[0050] Specifically, the fluid domain is meshed. Since the air flow velocity in the fluid domain is relatively high, especially in key areas such as the air inlet, air outlet, and the inner wall of the equipment, the fluid flow is relatively complex, so these areas need to be meshed more carefully. The air flow velocity at the air inlet varies greatly, so the mesh near the air inlet needs to be refined to accurately capture the distribution of the air flow after entering the equipment. On the path of the air flow in the equipment, the mesh is refined according to the requirements of the actual flow field distribution to ensure accurate simulation of the air flow changes.

[0051] The meshing of the solid domain is mainly for heat sources and heat exchangers such as battery cells, battery cell trays and equipment frames. Since the battery cells are the heat source area, the mesh needs to be fine enough to capture the phenomena of battery cell heating and heat conduction to ensure accurate simulation of the temperature field.

[0052] For the battery cells, a more detailed grid division is performed on the battery cells to ensure that the heating process of the battery cells and the heat exchange process with the surrounding solid media and fluid domains can be accurately calculated.

[0053] For the battery tray area, since the battery tray needs to exchange heat with the battery cells and air, the grid in the area can be refined as needed to ensure that the heat conduction process between the tray, airflow and battery cells is accurately simulated.

[0054] As for the equipment frame area, its influence on the heat exchange of the fluid is relatively small, so the grid of the frame area can be appropriately coarsened to reduce the amount of calculation.

[0055] After the initial meshing is completed, the mesh quality needs to be checked. The quality and distribution of the mesh should be analyzed, especially in areas such as the battery cell, air inlet, and air outlet. If the mesh quality is poor or the mesh distribution is too sparse, it should be locally refined to ensure that the meshing has sufficient accuracy.

[0056] During the simulation process, the convergence of the calculation results will be monitored in real time when the solver is used. If it is found that the calculation results fail to achieve the expected accuracy, the grid needs to be further optimized and adjusted to ensure the accuracy and stability of the simulation results.

[0057] After the meshing is completed, set the appropriate fluid-solid coupling solver to ensure that the heat exchange process between the fluid domain and the solid domain can be accurately solved. The fluid-solid coupling solver is used to simulate the interaction between the fluid and the solid to ensure that the heat transfer and dissipation in the flow can be accurately reflected.

[0058] By adopting the above technical solution, the simulation accuracy of key areas is ensured by refining the mesh division of the fluid domain and the solid domain. The convergence of the simulation results is guaranteed by locally adjusting the mesh quality. The accurate simulation of the heat exchange between the fluid and the solid is ensured by setting the fluid-solid coupling solver and using the direct solver for solving. This enables high-precision three-dimensional flow field and temperature field coupling simulation, thereby improving the service life and safety of the battery cells.

[0059] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A three-dimensional flow field and temperature field coupling simulation method for a cell capacity division device, characterized in that: The following steps are involved: S1: According to the actual size of the battery cell capacity division equipment, a three-dimensional model is constructed and the three-dimensional model is cut into fluid domain and solid domain to form an optimized model; S2: importing the optimization model into a simulation system, defining and setting parameters of the fluid domain materials and solid domain materials of the optimization model in the simulation system, and generating a simulation model; S3: Setting boundary conditions of fluid and solid domains in the simulation model; S4: Meshing the simulation model and setting the fluid-structure interaction solver; S5: Visualize the simulation results to obtain flow field and temperature field distribution data.

2. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 1, characterized in that: Step S1 includes the following steps: S11: According to the actual size of the battery cell capacity classification equipment, a 3D model is constructed based on 3D modeling software; S12: performing a Goshen operation on the three-dimensional model to cut the three-dimensional model into a fluid domain and a solid domain.

3. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 1, characterized in that: Step S2 includes the following steps: S21: importing the optimization model into CFD simulation software, defining the material of the fluid domain as air, and defining the solid domain as a solid medium; S22: Parameters of air and solid medium are set respectively to generate a simulation model.

4. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 3, characterized in that: The solid medium includes: at least one of a battery cell, a battery cell tray, and an air-cooled capacity distribution equipment frame.

5. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 1, characterized in that: The boundary conditions of the fluid domain include: at least one of an air inlet boundary condition, an air outlet boundary condition, and a flow field type boundary condition; The boundary conditions of the solid domain include at least one of the boundary conditions of the battery cell, the boundary conditions of the battery cell tray, and the boundary conditions of the air-cooled capacity distribution equipment frame.

6. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 5, characterized in that: The steps to determine the flow field type boundary conditions are: The Reynolds number is calculated according to the flow velocity, temperature, pressure value of the airflow at the battery cell capacity division equipment site and the structure of the simulation model to determine whether the Reynolds number is greater than a preset threshold. If so, it indicates that the flow field type is turbulent.

7. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 6, characterized in that: It is determined whether the Reynolds number is greater than a preset threshold. If not, it indicates that the flow field type is laminar flow.

8. The three-dimensional flow field and temperature field coupling simulation method of the battery cell capacity division device according to claim 1, characterized in that: Step S4 includes the following steps: S41: Meshing the fluid domain; S42: Meshing of solid domain; S43: Observe the meshing results, perform local meshing on the target quality to ensure the convergence of the calculation results; S44: Set the fluid-structure interaction solver and solve it using the direct solver method.

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