A simulation method and device for temperature field of liquid-cooled motor

By using conjugate heat transfer modeling and fluid dynamics methods for liquid-cooled motors, the problem of low efficiency in solving the coupled cooling flow field and solid temperature field of liquid-cooled motors was solved, achieving high-precision simulation of steady-state and transient temperature fields, and improving computational efficiency and accuracy.

CN117436362BActive Publication Date: 2026-08-25CHONGQING CHANGAN AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202311383000.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-23
Publication Date
2026-08-25
Estimated Expiration
2043-10-23

AI Technical Summary

Technical Problem

In existing technologies, the coupling solution of cooling flow field and solid temperature field of liquid-cooled motor is inefficient and only applicable to steady-state analysis, and cannot perform high-precision transient temperature field analysis.

Method used

The conjugate heat transfer model of the liquid-cooled motor is adopted. The fluid and solid are modeled in three dimensions using the finite volume method and smooth particle fluid dynamics method to obtain the flow field information. The flow field information is then merged into the initial flow field information and combined with the actual operating conditions parameters to generate the simulation results of the fluid and solid temperature fields.

Benefits of technology

It improves the accuracy and efficiency of temperature field simulation calculations for liquid-cooled motors, enabling high-precision analysis of steady-state and transient temperature fields while reducing computational complexity and overhead.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a liquid-cooled motor temperature field simulation method and device, electronic equipment and a storage medium, wherein the method performs grid division on three-dimensional modeling of a liquid-cooled motor, constructs conjugate heat transfer modeling of the liquid-cooled motor, the conjugate heat transfer modeling includes fluid domain grid modeling, performs simulation operation on the fluid domain grid modeling, obtains flow field information of the liquid-cooled motor, maps the flow field information of the liquid-cooled motor into the fluid domain grid modeling as initial flow field information, freezes the initial flow field information in the simulation process, and generates simulation results of fluid temperature field and solid temperature field of the liquid-cooled motor according to actual operation condition parameters of the liquid-cooled motor and the conjugate heat transfer modeling. Through the conjugate heat transfer modeling of the liquid-cooled motor, the fluid temperature field and the solid temperature field of the liquid-cooled motor can be coupled and solved in real time, and the accuracy and efficiency of the liquid-cooled motor temperature field simulation calculation are improved.
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Description

Technical Field

[0001] This invention relates to the field of motor technology, and specifically to a method, apparatus, electronic device, and storage medium for simulating the temperature field of a liquid-cooled motor. Background Technology

[0002] Liquid-cooled motors generate heat during operation. Excessive temperature can damage the motor, affecting its stability and lifespan. Therefore, analyzing the temperature field of a liquid-cooled motor can identify excessively high temperature points, allowing for the design of a more efficient cooling system and improved motor efficiency and stability.

[0003] In the prior art, the method of fluid and solid conjugate heat transfer in liquid-cooled motors can simultaneously solve for the cooling flow field and solid temperature field of the liquid-cooled motor.

[0004] However, existing technologies suffer from several drawbacks. Due to the significant difference in timescales between fluid flow and solid heat transfer, directly coupling the cooling flow field and solid temperature field of a liquid-cooled motor for solution is inefficient. Furthermore, these technologies are only suitable for steady-state analysis of the temperature field of a liquid-cooled motor and cannot be used for high-precision analysis of the transient temperature field of a liquid-cooled motor. Summary of the Invention

[0005] One objective of this invention is to provide a simulation method for the temperature field of a liquid-cooled motor, addressing the problem that in existing technologies, due to the significant difference in time scales between fluid flow and solid heat transfer, directly coupling and solving the cooling flow field and solid temperature field of the liquid-cooled motor is inefficient and only applicable to steady-state analysis of the temperature field, not for high-precision analysis of the transient temperature field. A second objective is to provide a simulation device for the temperature field of a liquid-cooled motor. A third objective is to provide an electronic device. A fourth objective is to provide a readable storage medium.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A simulation method for the temperature field of a liquid-cooled motor, the method comprising:

[0008] The 3D model of the liquid-cooled motor is meshed to construct a conjugate heat transfer model of the liquid-cooled motor; the conjugate heat transfer model includes fluid domain mesh modeling; the fluid domain mesh modeling represents the region through which the fluid flows within the liquid-cooled motor;

[0009] The fluid domain mesh model is simulated to obtain the flow field information of the liquid-cooled motor; the flow field information of the liquid-cooled motor includes fluid velocity field information, fluid pressure field information, and fluid volume fraction field information.

[0010] The flow field information of the liquid-cooled motor is mapped onto the fluid domain mesh model as the initial flow field information;

[0011] During the simulation, the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information are frozen, and the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer model.

[0012] Furthermore, the step of performing simulation calculations on the fluid domain mesh model to obtain the flow field information of the liquid-cooled motor includes:

[0013] The fluid domain mesh model is used as the air fluid domain mesh model, and the air fluid domain mesh model is solved in steady state to obtain the air cooling flow field information;

[0014] Surface mesh modeling is extracted from the fluid domain mesh modeling, and the surface mesh modeling and the air cooling flow field information are processed to obtain the coolant cooling flow field information;

[0015] The flow field information of the air-cooled motor and the flow field information of the coolant-cooled motor are combined to obtain the flow field information of the liquid-cooled motor.

[0016] Furthermore, the air cooling flow field information includes air velocity field information and air pressure field information. The step of modeling the fluid domain mesh as an air fluid domain mesh and performing a steady-state solution on the air fluid domain mesh model to obtain the air cooling flow field information includes:

[0017] The air fluid domain mesh model is divided to obtain the global reference frame fluid domain and the rotating reference frame fluid domain;

[0018] Steady-state solutions are performed on the global reference frame fluid domain and the rotating reference frame fluid domain to obtain the air velocity field information and the air pressure field information.

[0019] Furthermore, the liquid-cooled motor includes a rotor; the step of extracting surface mesh modeling from the fluid domain mesh modeling, and processing the surface mesh modeling and the air-cooled flow field information to obtain coolant-cooled flow field information includes:

[0020] The surface mesh model is extracted from the fluid domain mesh model, and the surface mesh model and the air velocity field information are used as input parameters for the smooth particle flow field dynamic model. In each cycle of the rotor's stable rotation, velocity information, pressure information, and coolant integral number are obtained at preset rotation angle intervals. The coolant integral number represents the volume occupied by the coolant per unit volume.

[0021] The speed information, pressure information, and coolant integral number in each cycle are averaged to obtain coolant velocity field information, coolant pressure field information, and coolant integral number field information.

[0022] Furthermore, the step of merging the air-cooled flow field information and the coolant-cooled flow field information to obtain the flow field information of the liquid-cooled motor includes:

[0023] The air velocity field information and the coolant velocity field information are combined to obtain the fluid velocity field information;

[0024] The air pressure field information and the coolant pressure field information are combined to obtain the fluid pressure field information;

[0025] The integral field information of the cooling liquid is used as the fluid volume fraction field information.

[0026] Furthermore, the conjugate heat transfer modeling also includes solid domain mesh modeling, and the fluid domain mesh modeling and the solid domain mesh modeling intersect at the thermal boundary.

[0027] Furthermore, the actual operating parameters of the liquid-cooled motor include the actual heat generation or the actual initial temperature of the motor. During the simulation process, the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information are frozen. Based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer modeling, simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated, including:

[0028] Keeping the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information unchanged, and based on the actual heat generation or the actual initial temperature of the motor, the first preset formula, and the conjugate heat transfer modeling, the simulation results of the fluid temperature field of the liquid-cooled motor are generated; the first preset formula is the calculation formula for the fluid temperature field.

[0029] Based on the actual heat generation or the actual initial temperature of the motor, the second preset formula, and the conjugate heat transfer modeling, the simulation results of the solid temperature field of the liquid-cooled motor are generated; the second preset formula is the calculation formula for the solid temperature field.

[0030] A simulation device for the temperature field of a liquid-cooled motor, the device comprising:

[0031] The mesh generation module is used to perform mesh generation on the 3D model of the liquid-cooled motor and construct the conjugate heat transfer model of the liquid-cooled motor; the conjugate heat transfer model includes fluid domain mesh modeling; the fluid domain mesh modeling represents the region through which the fluid flows within the liquid-cooled motor;

[0032] The motor flow field acquisition module is used to perform simulation calculations on the fluid domain mesh model to acquire the flow field information of the liquid-cooled motor; the flow field information of the liquid-cooled motor includes fluid velocity field information, fluid pressure field information, and fluid volume fraction field information.

[0033] The information mapping module is used to map the flow field information of the liquid-cooled motor to the fluid domain mesh model as the initial flow field information;

[0034] The temperature field simulation module is used to freeze the fluid velocity field information, the fluid pressure field information, and the fluid volume fraction field information in the initial flow field information during the simulation process, and generate the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer model.

[0035] An electronic device includes a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions being executed by the processor to implement the steps of the simulation method for the temperature field of a liquid-cooled motor as described above.

[0036] A readable storage medium storing a program or instructions that, when executed by a processor, implement the steps of the simulation method for the temperature field of a liquid-cooled motor as described above.

[0037] The beneficial effects of this invention are:

[0038] (1) This invention uses conjugate heat transfer modeling of liquid-cooled motor to perform real-time coupled solution of fluid temperature field and solid temperature field of liquid-cooled motor, which improves the accuracy of temperature field simulation calculation of liquid-cooled motor and improves the efficiency of simulation result calculation.

[0039] (2) This invention combines the simulated air-cooled flow field information and the coolant-cooled flow field information into the flow field information of the liquid-cooled motor, and uses the flow field information of the liquid-cooled motor as the initial flow field information and keeps it unchanged, thereby reducing the complexity of the temperature field calculation of the liquid-cooled motor and saving computational costs.

[0040] (3) By simultaneously solving the fluid temperature field and the solid temperature field, this invention can be used for temperature field simulation of steady-state operating conditions of liquid-cooled motors, as well as temperature field simulation of instantaneous operating conditions of liquid-cooled motors. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating the steps of a simulation method for the temperature field of a liquid-cooled motor provided in an embodiment of the present invention.

[0042] Figure 2 This is an execution flowchart of a simulation method for the temperature field of a liquid-cooled motor provided in an embodiment of the present invention;

[0043] Figure 3 This is a structural diagram of a conjugate heat transfer modeling provided in an embodiment of the present invention;

[0044] Figure 4 This is a structural diagram of an air fluid domain mesh modeling provided in an embodiment of the present invention;

[0045] Figure 5 This is a display diagram of coolant volume distribution provided in an embodiment of the present invention;

[0046] Figure 6 This is a display diagram of the integral field of cooling liquid after averaging operation, provided by an embodiment of the present invention;

[0047] Figure 7 This is a cross-sectional schematic diagram of a fluid temperature field simulation result provided in an embodiment of the present invention;

[0048] Figure 8 This is a schematic diagram of a solid temperature field simulation result provided by an embodiment of the present invention;

[0049] Figure 9 This is a block diagram of a simulation device for the temperature field of a liquid-cooled motor provided in an embodiment of the present invention;

[0050] Figure 10 This is a functional component relationship diagram of an electronic device provided in an embodiment of this application;

[0051] Figure 11 This is a functional component relationship diagram of another electronic device provided in the embodiments of this application.

[0052] Among them, 11-fluid domain mesh modeling; 12-solid domain mesh modeling; 13-first temperature reference table; 14-second temperature reference table; 21-global reference frame fluid domain; 22-flow domain interface; 23-rotating reference frame fluid domain. Detailed Implementation

[0053] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0054] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0055] First, it should be noted that liquid-cooled motors are operated by introducing coolant, such as water or engine oil, into the motor's interior or exterior. The circulating flow of the coolant absorbs the heat generated during motor operation, thus maintaining the motor's temperature within an acceptable operating range. The temperature field of a liquid-cooled motor refers to the temperature distribution within the motor's operating area, describing the variation of temperature values ​​or distribution at different locations within the motor.

[0056] The Finite Volume Method (FVM) is a numerical method for solving fluid dynamics problems. It simulates fluid flow in space by dividing the fluid domain into a discrete finite number of volume elements. The changes in flow rate, energy, and mass in each volume element are described by conservation equations. By integrating the conservation equations over each volume element, finite difference forms of these equations can be obtained. Solving these finite difference forms of the conservation equations yields numerical solutions for the physical quantities of each control volume within the region. These numerical solutions can then be used to calculate the spatial distribution of parameters such as fluid velocity, pressure, and temperature.

[0057] Smoothed Particle Hydrodynamics (SPH) is a particle-based computational method used to simulate fluid dynamics problems. It divides a continuous medium into a set of discrete particles, each representing a point mass in the fluid. By weighted averaging of the neighboring particles around each particle, the spatial distribution of various physical quantities of the fluid can be estimated. The basic principle of SPH is to divide the fluid into a set of discrete particles, each representing a point mass in the fluid, and to estimate the fluid properties by sampling the fluid information around the particles. Each particle has attributes such as mass, position, and velocity, and a weighted average of the particles can be calculated based on the attributes of its neighboring particles. This weighted averaging method allows SPH to adapt to irregular fluid boundaries and is applicable to different types of fluids, including liquids and gases.

[0058] In some embodiments, the simulation method for the temperature field of a liquid-cooled motor suffers from several drawbacks. Due to the significant difference in timescales between fluid flow and solid heat transfer, directly coupling the cooling flow field and solid temperature field of the liquid-cooled motor for solution is inefficient. Furthermore, it is only applicable to steady-state analysis of the liquid-cooled motor temperature field and cannot be used for high-precision analysis of the transient temperature field. To address these issues, embodiments of this application propose a simulation method, apparatus, electronic device, and storage medium for the temperature field of a liquid-cooled motor, which will be described in detail below.

[0059] Figure 1 This is a flowchart illustrating the steps of a simulation method for the temperature field of a liquid-cooled motor according to an embodiment of the present invention. (Refer to...) Figure 1 As shown, the method may include:

[0060] Step 101: Mesh the 3D model of the liquid-cooled motor to construct the conjugate heat transfer model of the liquid-cooled motor.

[0061] In this embodiment of the invention, the liquid-cooled motor is operated by introducing coolant into its interior and using the circulating flow of the coolant to absorb the heat generated during the motor's rotation, thereby maintaining the internal temperature of the liquid-cooled motor within its operating range. Figure 2 This is an execution flowchart of a simulation method for the temperature field of a liquid-cooled motor provided in an embodiment of the present invention. Figure 3 This is a structural diagram of a conjugate heat transfer modeling provided in an embodiment of the present invention, with reference to... Figure 2 and Figure 3As shown, step S1 is performed to mesh the 3D model of the liquid-cooled motor, constructing a conjugate heat transfer model of the liquid-cooled motor. The conjugate heat transfer model 10 includes a fluid domain mesh model 11 and a solid domain mesh model 12. The fluid domain mesh model 11 represents the region through which the fluid flows within the liquid-cooled motor. The fluid includes air and coolant, and the coolant includes, but is not limited to, water and engine oil. The solid domain mesh model 12 represents the solid parts of the liquid-cooled motor, including the core, stator, rotor, and other fixed components. The fluid domain mesh model 11 and the solid domain mesh model 12 intersect at thermal boundaries, and both include a large number of volume mesh models, each of which consists of multiple surface mesh models.

[0062] The 3D modeling of a liquid-cooled motor involves mesh generation, which primarily involves either structured or unstructured meshing of the motor's internal geometry. Structured meshing divides the motor's internal geometry into mesh cells, each of which is, for example, a regular rectangular or cubic cell. These mesh cells are connected to construct the conjugate heat transfer model of the liquid-cooled motor. Unstructured meshing, on the other hand, divides the motor's internal geometry into irregular mesh cells.

[0063] Step 102: Perform simulation calculations on the fluid domain mesh model to obtain the flow field information of the liquid-cooled motor.

[0064] In this embodiment of the invention, the flow field of the liquid-cooled motor describes the specific working conditions of the fluid flowing inside the liquid-cooled motor, mainly including the fluid's flow velocity, flow direction, and pressure on the solid during flow. The flow field of the liquid-cooled motor directly affects its heat dissipation effect. (Refer to...) Figure 2 As shown, when simulating the temperature field of a liquid-cooled motor, step S2 needs to be executed first to solve for the flow field information of the liquid-cooled motor. The flow field information of the liquid-cooled motor includes fluid velocity field information, fluid pressure field information, and fluid volume fraction field information. Because in practical applications of liquid-cooled motors, the fluid in the liquid-cooled motor is a multiphase flow, which includes, for example, air flow cooling and coolant flow cooling, simulation calculations are performed by modeling the fluid domain mesh. The air cooling flow field information is obtained by simulating air cooling, and the coolant cooling flow field information is obtained by simulating coolant cooling. The air cooling flow field information and the coolant cooling flow field information are then combined to form the flow field information of the liquid-cooled motor.

[0065] Optionally, step 102 specifically includes:

[0066] Sub-step 1021: The fluid domain mesh model is used as the air fluid domain mesh model, and the air fluid domain mesh model is solved in steady state to obtain the air cooling flow field information.

[0067] In this embodiment of the invention, reference is made to Figure 2 As shown, the finite volume method is used to simulate airflow cooling in a fluid domain. Step S21 involves modeling the fluid domain mesh as an air-fluid domain mesh, and step S22 involves performing a steady-state solution on the air-fluid domain mesh model to obtain the air-cooling flow field information. The air-cooling flow field information includes air velocity field information and air pressure field information. The air velocity field information is the set of velocity information for each grid in the air-fluid domain mesh model, and the air pressure field information is the set of pressure information for each grid in the air-fluid domain mesh model.

[0068] Optionally, sub-step 1021 specifically includes:

[0069] Sub-step 10211: Divide the air fluid domain mesh model to obtain the global reference frame fluid domain and the rotating reference frame fluid domain.

[0070] In an embodiment of the present invention, Figure 4 This is a structural diagram of an air fluid domain mesh modeling method provided in an embodiment of the present invention. (Refer to...) Figure 2 , Figure 3 and Figure 4 As shown, after constructing the air fluid domain mesh model in step S21, the air fluid domain mesh model is divided to obtain the global reference frame fluid domain 21, the flow domain interface 22, and the rotating reference frame fluid domain 23. The global reference frame fluid domain 21 is the region between the outer side of the solid domain mesh model 12 and the housing of the liquid-cooled motor. The rotating reference frame fluid domain 23 is the region through which the fluid flows when the rotor of the liquid-cooled motor rotates. The flow domain interface 22 is the boundary between the global reference frame fluid domain 21 and the rotating reference frame fluid domain 23. The movement of the air around the rotor is simulated through the rotating reference frame fluid domain 23.

[0071] Sub-step 10212 involves performing steady-state solutions on the global reference frame fluid domain and the rotating reference frame fluid domain to obtain the air velocity field information and the air pressure field information.

[0072] In this embodiment of the invention, reference is made to Figure 2As shown, when the rotor is rotating stably, step S22 is executed, and the steady-state solution of the global reference frame fluid domain and the rotating reference frame fluid domain is performed using the finite volume method to obtain the air velocity field information and the air pressure field information. The air velocity field information and the air pressure field information are then saved in a first preset file, such as air_ave.csv.

[0073] Sub-step 1022: Extract surface mesh modeling from the fluid domain mesh modeling, and process the surface mesh modeling and the air cooling flow field information to obtain coolant cooling flow field information.

[0074] In this embodiment of the invention, existing simulation methods for motor temperature fields suffer from significant convective heat transfer in liquid-cooled motors, making it difficult to obtain accurate coolant temperature distribution. This leads to the problem of using a constant coolant temperature for coupled solution of the temperature field. In the multiphase flow analysis of the liquid-cooled motor in this application, it is necessary to accurately solve the trajectory of the coolant within the motor, placing very high demands on the simulation mesh size and computation time step. Furthermore, the movement of the mesh is also involved during rotor rotation. Therefore, by applying the SPH particle method to simulate coolant flow and combining it with air velocity field information from air cooling, the flow field information for coolant cooling can be obtained.

[0075] Reference Figure 2 As shown, in this application, step S24 is executed to extract surface mesh modeling from the fluid domain mesh modeling to establish a smooth particle flow field dynamic model; step S23 is executed to extract air cooling flow field information; and step S25 is executed to process the surface mesh modeling and the air cooling flow field information to solve the smooth particle flow field dynamic model to obtain coolant cooling flow field information. The coolant cooling flow field information includes coolant velocity field information, coolant pressure field information, and coolant integral number field information.

[0076] Optionally, sub-step 1022 specifically includes:

[0077] Sub-step 10221: Extract the surface mesh model from the fluid domain mesh model, use the surface mesh model and the air velocity field information as input parameters of the smooth particle flow field dynamic model, and obtain the velocity information, pressure information and cooling liquid integral number at preset rotation angle intervals in each cycle of the rotor's stable rotation.

[0078] In this embodiment of the invention, the smooth particle flow field dynamic model is a model established using the SPH particle method. Therefore, the surface mesh modeling is extracted from the fluid domain mesh modeling as the input of the smooth particle flow field dynamic model, and the smooth particle flow field dynamic model reads the air velocity field information from a first preset file to simulate the air motion during coolant flow using the SPH particle method. Furthermore, after the rotor of the liquid-cooled motor reaches a stable state after a preset rotation cycle, velocity information, pressure information, and coolant integral number are acquired at preset rotation angle intervals within each rotor rotation cycle. The coolant integral number represents the volume occupied by the coolant per unit volume. Under stable rotor rotation, the smooth particle flow field dynamic model outputs the velocity information, pressure information, and real-time position information from the surface mesh modeling and saves these information in a second preset file. Then, preset software is used to process the real-time position information in the second preset file to calculate the coolant integral number. Figure 5 This is a diagram illustrating the coolant volume distribution according to an embodiment of the present invention. (Refer to...) Figure 5 As shown, when the coolant is engine oil, the engine oil is distributed on the surface of the fluid-solid domain mesh model 12 according to the fluid density represented by the coolant integral number.

[0079] For example, the preset cycle is 300 rotor rotation cycles, after which the rotor reaches a stable state. The preset rotation angle is 1 degree, meaning that within each rotor rotation cycle, fluid velocity information, pressure information, and cooling liquid integral are acquired for every 1 degree rotation.

[0080] Sub-step 10222: Average the speed information, pressure information and cooling liquid integral field information in each cycle to obtain the cooling liquid speed field information, cooling liquid pressure field information and cooling liquid integral field information.

[0081] In this embodiment of the invention, the speed information, pressure information, and coolant integral field information within each cycle are averaged to obtain the average speed, average pressure, and average coolant integral number within one cycle. The average speed, average pressure, and average coolant integral number from multiple cycles are then aggregated to obtain coolant velocity field information, coolant pressure field information, and coolant integral field information. This coolant velocity field information, coolant pressure field information, and coolant integral field information are then stored in a third preset file, such as an oil_ave.csv text file. Figure 6 This is a display diagram of the integral field of cooling liquid provided in an embodiment of the present invention, referring to... Figure 5 and Figure 6 As shown, when the coolant is engine oil, Figure 5The distribution of oil particles in the fluid domain mesh model, calculated using the SPH particle method, is shown. Figure 6 The paper presents the distribution of oil volume fraction in the fluid domain mesh model calculated based on simulation results of oil particle trajectories.

[0082] Sub-step 1023: The flow field information of the air cooling and the flow field information of the coolant cooling are merged to obtain the flow field information of the liquid-cooled motor.

[0083] In this embodiment of the invention, the air-cooled flow field information in the first preset file and the coolant-cooled flow field information in the second preset file are merged to obtain the flow field information of the liquid-cooled motor.

[0084] For example, refer to Figure 2 As shown, step S26 is executed to extract the flow field information of the coolant cooling, and step S27 is executed to merge the flow field information of the air cooling and the flow field information of the coolant cooling. The obtained multiphase flow field information of the liquid-cooled motor is the flow field information of the liquid-cooled motor.

[0085] Optionally, sub-step 1023 specifically includes:

[0086] Sub-step 10231: Combine the air velocity field information with the coolant velocity field information to obtain the fluid velocity field information.

[0087] In this embodiment of the invention, the air velocity information in the first preset file corresponding to each grid cell in the fluid domain grid modeling is merged with the coolant velocity information in the second element and file to obtain the fluid velocity field information.

[0088] Sub-step 10232: Combine the air pressure field information with the coolant pressure field information to obtain the fluid pressure field information.

[0089] In this embodiment of the invention, the air pressure field information in the first preset file is combined with the coolant pressure field information in the second element and file to obtain fluid pressure field information.

[0090] Sub-step 10233: The cooling liquid integral field information is used as the fluid volume fraction field information.

[0091] In this embodiment of the invention, since the value of the cooling liquid integral number corresponding to the cooling liquid integral number field information in the third preset file is 1, it indicates that there is coolant in the flow field, and the value of the cooling liquid integral number is 0, it indicates that there is no coolant in the flow field, the cooling liquid integral number field information is used as the fluid volume fraction field information.

[0092] Step 103: Map the flow field information of the liquid-cooled motor into the fluid domain mesh model as the initial flow field information.

[0093] In this embodiment of the invention, reference is made to Figure 2 As shown, in step S3, the obtained flow field information of the liquid-cooled motor is mapped to the fluid domain mesh model in the conjugate heat transfer modeling, and the flow field information of the liquid-cooled motor is used as the initial flow field information for the conjugate heat transfer modeling. The initial flow field information also includes the fluid velocity field information, the fluid pressure field information, and the fluid volume fraction field information.

[0094] Step 104: During the simulation, freeze the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information, and generate the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer model.

[0095] In this embodiment of the invention, reference is made to Figure 2 As shown, during the simulation, step S4 is executed to freeze all physical fields except the temperature field, thus freezing the fluid velocity field, fluid pressure field, and fluid volume fraction field information in the initial flow field information. This means that the fluid velocity field, fluid pressure field, and fluid volume fraction field information in the initial flow field information are treated as known quantities. Then, step S5 is executed to perform a conjugate solution for the fluid temperature field and the solid temperature field. That is, based on the actual operating parameters of the liquid-cooled motor, the conjugate heat transfer modeling, and the temperature field calculation formula, the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated simultaneously. The temperature field calculation formula includes a first preset formula and a second preset formula. The first preset formula is for calculating the fluid temperature field, and the second preset formula is for calculating the solid temperature field. The actual operating parameters of the liquid-cooled motor include the actual heat generation or the actual initial motor temperature.

[0096] Optionally, step 104 specifically includes:

[0097] Sub-step 1041: Keep the fluid velocity field information, fluid pressure field information and fluid volume fraction field information in the initial flow field information unchanged, and generate the simulation results of the fluid temperature field of the liquid-cooled motor based on the actual heat generation or the actual initial temperature of the motor, the first preset formula and the conjugate heat transfer modeling.

[0098] In this embodiment of the invention, reference is made to Figure 2As shown, step S4 is executed to freeze all physical fields except the temperature field. This means treating the temperature field as a variable while keeping the fluid velocity field, fluid pressure field, and fluid volume fraction field information in the initial flow field information unchanged. This reduces the computational complexity and saves computational overhead when calculating the temperature field. After freezing all physical fields except the temperature field in the conjugate heat transfer model, the simulation results of the fluid temperature field of the liquid-cooled motor are generated based on the actual operating parameters of the liquid-cooled motor and the first preset formula. The actual operating parameters of the liquid-cooled motor include the actual rotational speed, actual heat generation, or actual coolant injection volume. The first preset formula is the formula for calculating the fluid temperature field, which can be expressed as:

[0099]

[0100] Where ρ represents fluid density, i.e., coolant density, which can be obtained through fluid volume fraction; E represents fluid internal energy; V represents volume mesh; A represents surface mesh; and p represents fluid pressure field information. Represents fluid velocity field information. Vector representing a surface mesh. Represents the heat flux density field. Represents the viscous stress tensor. This represents volume force, and S represents the heat source.

[0101] The first preset formula is the energy conservation formula. Since the boundary conditions of the fluid domain mesh modeling can be determined, the volume mesh V and the surface mesh A can be determined. When the actual operating parameters of the liquid-cooled motor, such as the actual heat generation or the initial temperature of the actual motor, change, the heat flux density of the thermal boundary also changes. By calculating the heat flux density and other known parameters, the internal energy of the fluid can be determined according to the first preset formula, and the corresponding fluid mesh temperature can be calculated according to the internal energy formula. Thus, the simulation results of the fluid temperature field of the liquid-cooled motor are generated in the fluid domain mesh modeling within the conjugate heat transfer modeling. Figure 7 This is a cross-sectional schematic diagram of a fluid temperature field simulation result provided in an embodiment of the present invention. (Refer to...) Figure 7 As shown, the fluid temperature field of the fluid domain mesh model 11 is distributed with different grayscale regions. According to the first temperature reference table 13, the relationship between the grayscale region and the temperature can be compared to determine the temperature of the surface of the fluid domain mesh model 11. The first temperature reference table 13 is, for example, denoted as "Temperature (C)", where "C" represents the temperature unit in degrees Celsius. The temperature range that can be clearly obtained from the grayscale regions of the fluid temperature field is 100℃ to 120℃. The grayscale in the region with a temperature greater than 120℃ is consistent with the grayscale of 120℃, and the grayscale in the region with a temperature less than 100℃ is consistent with the grayscale of 100℃.

[0102] Sub-step 1043: Based on the actual heat generation or the actual initial temperature of the motor, the second preset formula, and the conjugate heat transfer modeling, generate the simulation results of the solid temperature field of the liquid-cooled motor.

[0103] In this embodiment of the invention, all physical fields except the temperature field are frozen, i.e., the temperature field is treated as a variable, while the fluid velocity field information, the fluid pressure field information, and the fluid volume fraction field information are treated as known quantities. Then, based on the actual rotational speed, the actual heat generation, the actual amount of coolant injected, the second preset formula, and the conjugate heat transfer modeling, simulation results of the solid temperature field of the liquid-cooled motor are generated. The second preset formula is the calculation formula for the solid temperature field, which can be expressed as:

[0104]

[0105] Where ρ represents the solid density, C p T represents the specific heat capacity of the solid, and T represents the temperature of the solid. Let S represent the heat flux density field, and let S represent the heat source.

[0106] The second preset formula is also an energy conservation formula. Since the boundary conditions for solid domain mesh modeling can be determined, the volume mesh V and the surface mesh A can be determined. Keeping the fluid velocity field information, the fluid pressure field information, and the fluid volume fraction field information constant, when the actual operating parameters of the liquid-cooled motor, such as the actual heat generation or the actual initial motor temperature, change, the heat flux density of the thermal boundary also changes. By calculating the heat flux density and other known parameters, the solid temperature can be determined according to the second preset formula, thereby generating the simulation results of the solid temperature field of the liquid-cooled motor in the solid domain mesh modeling within the conjugate heat transfer modeling. Figure 8 This is a schematic diagram of a solid temperature field simulation result provided by an embodiment of the present invention. (Refer to...) Figure 8 As shown, the solid temperature field of the solid domain mesh model 12 is distributed with regions of different gray levels. According to the second temperature reference table 14, the relationship between gray level and temperature can be compared to determine the temperature of the surface of the solid domain mesh model 12. Among them, the second temperature reference table 13 is denoted as "Temperature (C)". The temperature range that can be clearly obtained from the gray level region of the fluid temperature field is 100℃ to 160℃. The gray level in the region with a temperature greater than 160℃ is consistent with the gray level of 160℃, and the gray level in the region with a temperature less than 100℃ is consistent with the gray level of 100℃.

[0107] In summary, in this embodiment, the 3D model of the liquid-cooled motor is meshed to construct a conjugate heat transfer model, which includes fluid domain mesh modeling. The fluid domain mesh modeling is then simulated to obtain the flow field information of the liquid-cooled motor, including fluid velocity field information, fluid pressure field information, and fluid volume fraction field information. The flow field information of the liquid-cooled motor is mapped onto the fluid domain mesh model as initial flow field information. During simulation, the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information are frozen. Based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer modeling, simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated. This invention, through conjugate heat transfer modeling of the liquid-cooled motor, enables real-time coupled solution of the fluid temperature field and solid temperature field of the liquid-cooled motor, improving the accuracy of the temperature field simulation calculation and the efficiency of the simulation result calculation. By merging the simulated air-cooled and coolant-cooled flow field information into the flow field information of the liquid-cooled motor, and using the liquid-cooled motor's flow field information as the initial flow field information and keeping it unchanged, the complexity of the liquid-cooled motor's temperature field calculation is reduced, saving computational costs. By simultaneously solving the fluid temperature field and the solid temperature field, it can be used for temperature field simulation of the liquid-cooled motor under both steady-state and instantaneous operating conditions.

[0108] Figure 9 This is a block diagram of a simulation device for the temperature field of a liquid-cooled motor provided in an embodiment of the present invention, with reference to... Figure 9 As shown, the device 40 includes:

[0109] Mesh generation module 41 is used to perform mesh generation on the 3D model of the liquid-cooled motor and construct the conjugate heat transfer model of the liquid-cooled motor; the conjugate heat transfer model includes fluid domain mesh modeling;

[0110] The motor flow field acquisition module 42 is used to perform simulation calculations on the fluid domain mesh model to acquire the flow field information of the liquid-cooled motor; the flow field information of the liquid-cooled motor includes fluid velocity field information, fluid pressure field information and fluid volume fraction field information;

[0111] The information mapping module 43 is used to map the flow field information of the liquid-cooled motor to the fluid domain mesh model as the initial flow field information;

[0112] The temperature field simulation module 44 is used to freeze the fluid velocity field information, the fluid pressure field information, and the fluid volume fraction field information in the initial flow field information during the simulation process, and generate the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer modeling.

[0113] Optionally, the motor flow field acquisition module 42 includes:

[0114] The air cooling flow field acquisition submodule is used to model the fluid domain mesh as an air fluid domain mesh, and to perform steady-state solution on the air fluid domain mesh model to obtain the air cooling flow field information.

[0115] The coolant cooling flow field acquisition submodule is used to extract surface mesh modeling from the fluid domain mesh modeling, and process the surface mesh modeling and the air cooling flow field information to obtain coolant cooling flow field information.

[0116] The merging submodule is used to merge the air-cooled flow field information and the coolant-cooled flow field information to obtain the flow field information of the liquid-cooled motor.

[0117] Optional, the air cooling flow field acquisition submodule includes:

[0118] The modeling and partitioning unit is used to partition the air fluid domain mesh to obtain the global reference frame fluid domain and the rotating reference frame fluid domain.

[0119] The steady-state solution unit is used to perform steady-state solutions on the global reference frame fluid domain and the rotating reference frame fluid domain to obtain the air velocity field information and the air pressure field information.

[0120] Optionally, the coolant cooling flow field acquisition submodule includes:

[0121] The smooth particle flow field acquisition unit is used to extract the surface mesh model from the fluid domain mesh model, use the surface mesh model and the air velocity field information as input parameters of the smooth particle flow field dynamic model, and acquire velocity information, pressure information and cooling liquid integral field information at preset rotation angle intervals in each cycle of the rotor rotation; the cooling liquid integral field information represents the volume occupied by the coolant per unit volume.

[0122] The averaging operation unit performs averaging operations on each of the velocity information, pressure information, and coolant integral field information within each cycle to obtain coolant velocity field information, coolant pressure field information, and coolant integral field information.

[0123] Optionally, merged submodules include:

[0124] A velocity merging unit is used to merge the air velocity field information with the coolant velocity field information to obtain the fluid velocity field information.

[0125] A pressure merging unit is used to merge the air pressure field information with the coolant pressure field information to obtain the fluid pressure field information.

[0126] The coolant volume extraction module is used to extract the coolant integral field information as the fluid volume fraction field information.

[0127] Optionally, the temperature field simulation module 44 includes:

[0128] The fluid temperature field simulation submodule is used to keep the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information unchanged, and generate the simulation results of the fluid temperature field of the liquid-cooled motor based on the actual heat generation or the actual initial temperature of the motor, the first preset formula, and the conjugate heat transfer modeling; the first preset formula is the calculation formula of the fluid temperature field;

[0129] The flow field solid temperature field simulation submodule is used to generate simulation results of the solid temperature field of the liquid-cooled motor based on the actual heat generation or the actual initial temperature of the motor, the second preset formula and the conjugate heat transfer modeling; the second preset formula is the calculation formula of the solid temperature field.

[0130] In summary, in this embodiment, the 3D model of the liquid-cooled motor is meshed to construct a conjugate heat transfer model, which includes fluid domain mesh modeling. The fluid domain mesh modeling is then simulated to obtain the flow field information of the liquid-cooled motor, including fluid velocity field information, fluid pressure field information, and fluid volume fraction field information. The flow field information of the liquid-cooled motor is mapped onto the fluid domain mesh model as initial flow field information. During simulation, the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information are frozen. Based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer modeling, simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated. This invention, through conjugate heat transfer modeling of the liquid-cooled motor, enables real-time coupled solution of the fluid temperature field and solid temperature field of the liquid-cooled motor, improving the accuracy of the temperature field simulation calculation and the efficiency of the simulation result calculation. By merging the simulated air-cooled and coolant-cooled flow field information into the flow field information of the liquid-cooled motor, and using the liquid-cooled motor's flow field information as the initial flow field information and keeping it unchanged, the complexity of the liquid-cooled motor's temperature field calculation is reduced, saving computational costs. By simultaneously solving the fluid temperature field and the solid temperature field, it can be used for temperature field simulation of the liquid-cooled motor under both steady-state and instantaneous operating conditions.

[0131] Figure 10 This is a block diagram illustrating an electronic device 600 according to an exemplary embodiment. For example, the electronic device 600 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0132] Reference Figure 10 The electronic device 600 may include one or more of the following components: a processing component 602, a memory 604, a power supply component 606, a multimedia component 608, an audio component 610, an input / output (I / O) interface 612, a sensor component 614, and a communication component 616.

[0133] Processing component 602 typically controls the overall operation of electronic device 600, such as operations associated with display, telephone calls, data communication, camera operation, and recording operations. Processing component 602 may include one or more processors 620 to execute instructions to perform all or part of the steps of the methods described above. Furthermore, processing component 602 may include one or more modules to facilitate interaction between processing component 602 and other components. For example, processing component 602 may include a multimedia module to facilitate interaction between multimedia component 608 and processing component 602.

[0134] Memory 604 is used to store various types of data to support the operation of electronic device 600. Examples of such data include instructions for any application or method operating on electronic device 600, contact data, phonebook data, messages, pictures, multimedia, etc. Memory 604 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0135] Power supply component 606 provides power to various components of electronic device 600. Power supply component 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 600.

[0136] Multimedia component 608 includes a screen that provides an output interface between the electronic device 600 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 608 includes a front-facing camera and / or a rear-facing camera. When the electronic device 600 is in an operating mode, such as a shooting mode or a multimedia mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0137] Audio component 610 is used to output and / or input audio signals. For example, audio component 610 includes a microphone (MIC) used to receive external audio signals when electronic device 600 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 604 or transmitted via communication component 616. In some embodiments, audio component 610 also includes a speaker for outputting audio signals.

[0138] I / O interface 612 provides an interface between processing component 602 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0139] Sensor assembly 614 includes one or more sensors for providing state assessments of various aspects of electronic device 600. For example, sensor assembly 614 can detect the on / off state of electronic device 600, the relative positioning of components such as the display and keypad of electronic device 600, changes in position of electronic device 600 or a component of electronic device 600, the presence or absence of user contact with electronic device 600, orientation or acceleration / deceleration of electronic device 600, and temperature changes of electronic device 600. Sensor assembly 614 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 614 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.

[0140] Communication component 616 facilitates wired or wireless communication between electronic device 600 and other devices. Electronic device 600 can access wireless networks based on communication standards, such as WiFi, carrier networks (such as 2G, 3G, 4G, or 5G), or combinations thereof. In one exemplary embodiment, communication component 616 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 616 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0141] In an exemplary embodiment, the electronic device 600 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to implement a simulation method for the temperature field of a liquid-cooled motor provided in this application embodiment.

[0142] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 604 including instructions, which can be executed by a processor 620 of an electronic device 600 to perform the above-described method. For example, the non-transitory storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0143] Figure 11This is a block diagram illustrating an electronic device 700 according to an exemplary embodiment. For example, the electronic device 700 may be provided as a service message receiver. (Refer to...) Figure 11 The electronic device 700 includes a processing component 722, which further includes one or more processors, and memory resources represented by a memory 732 for storing instructions, such as application programs, that can be executed by the processing component 722. The application programs stored in the memory 732 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 722 is configured to execute instructions to perform a simulation method for the temperature field of a liquid-cooled motor provided in embodiments of this application.

[0144] Electronic device 700 may also include a power supply component 726 configured to perform power management of electronic device 700, a wired or wireless network interface 750 configured to connect electronic device 700 to a network, and an input / output (I / O) interface 758. Electronic device 700 may operate on an operating system stored in memory 732, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or similar.

[0145] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the claims.

[0146] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A simulation method for the temperature field of a liquid-cooled motor, characterized in that, include: Mesh the 3D model of the liquid-cooled motor and construct the conjugate heat transfer model of the liquid-cooled motor. The conjugate heat transfer modeling includes fluid domain mesh modeling; The fluid domain mesh model represents the region through which the fluid flows within the liquid-cooled motor; The fluid domain mesh model is simulated to obtain the flow field information of the liquid-cooled motor; The flow field information of the liquid-cooled motor includes fluid velocity field information, fluid pressure field information, and fluid volume fraction field information. The flow field information of the liquid-cooled motor is mapped onto the fluid domain mesh model as the initial flow field information; During the simulation, all physical fields except the temperature field are frozen. The temperature field is used as a variable, and the fluid velocity field, fluid pressure field, and fluid volume fraction field information in the initial flow field information are used as known quantities. The fluid temperature field and solid temperature field are solved conjugately. That is, based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer modeling and temperature field calculation formula, the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated simultaneously. The step of performing simulation calculations on the fluid domain mesh model to obtain the flow field information of the liquid-cooled motor includes: The fluid domain mesh model is used as the air fluid domain mesh model, and the air fluid domain mesh model is solved in steady state to obtain the air cooling flow field information; Surface mesh modeling is extracted from the fluid domain mesh modeling, and the surface mesh modeling and the air cooling flow field information are processed to obtain the coolant cooling flow field information; The flow field information of the air-cooled motor and the flow field information of the coolant-cooled motor are combined to obtain the flow field information of the liquid-cooled motor. The air-cooled flow field information includes air velocity field information and air pressure field information, and the liquid-cooled motor includes a rotor; the extraction of surface mesh modeling from the fluid domain mesh modeling, and processing of the surface mesh modeling and the air-cooled flow field information to obtain the coolant-cooled flow field information includes: The surface mesh model is extracted from the fluid domain mesh model, and the surface mesh model and the air velocity field information are used as input parameters for the smooth particle flow field dynamic model. In each cycle of the rotor's stable rotation, velocity information, pressure information, and coolant integral number are obtained at preset rotation angle intervals. The coolant integral number represents the volume occupied by the coolant per unit volume. The speed information, pressure information, and coolant integral number in each cycle are averaged to obtain coolant velocity field information, coolant pressure field information, and coolant integral number field information.

2. The simulation method for the temperature field of a liquid-cooled motor according to claim 1, characterized in that, The step of modeling the fluid domain mesh as an air fluid domain mesh and performing a steady-state solution on the air fluid domain mesh model to obtain the air cooling flow field information includes: The air fluid domain mesh model is divided to obtain the global reference frame fluid domain and the rotating reference frame fluid domain; Steady-state solutions are performed on the global reference frame fluid domain and the rotating reference frame fluid domain to obtain the air velocity field information and the air pressure field information.

3. The simulation method for the temperature field of a liquid-cooled motor according to claim 1, characterized in that, The step of merging the air-cooled flow field information and the coolant-cooled flow field information to obtain the flow field information of the liquid-cooled motor includes: The air velocity field information and the coolant velocity field information are combined to obtain the fluid velocity field information; The air pressure field information and the coolant pressure field information are combined to obtain the fluid pressure field information; The integral field information of the cooling liquid is used as the fluid volume fraction field information.

4. The simulation method for the temperature field of a liquid-cooled motor according to claim 1, characterized in that, The conjugate heat transfer modeling also includes solid domain mesh modeling, and the fluid domain mesh modeling and the solid domain mesh modeling intersect at the thermal boundary.

5. The simulation method for the temperature field of a liquid-cooled motor according to claim 1, characterized in that, The actual operating parameters of the liquid-cooled motor include the actual heat generation or the actual initial temperature of the motor. During the simulation, all physical fields except the temperature field are frozen. The temperature field is used as a variable, and the fluid velocity field, fluid pressure field, and fluid volume fraction field information in the initial flow field information are used as known quantities. A conjugate solution is performed on the fluid temperature field and the solid temperature field. That is, based on the actual operating parameters of the liquid-cooled motor and the conjugate heat transfer modeling and temperature field calculation formulas, simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated simultaneously, including: Keeping the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information unchanged, and based on the actual heat generation or the actual initial temperature of the motor, the first preset formula, and the conjugate heat transfer modeling, the simulation results of the fluid temperature field of the liquid-cooled motor are generated; the first preset formula is the calculation formula for the fluid temperature field. Based on the actual heat generation or the actual initial temperature of the motor, the second preset formula, and the conjugate heat transfer modeling, the simulation results of the solid temperature field of the liquid-cooled motor are generated; the second preset formula is the calculation formula for the solid temperature field.

6. A simulation device for the temperature field of a liquid-cooled motor, characterized in that, include: The mesh generation module is used to perform mesh generation on the 3D model of the liquid-cooled motor and construct the conjugate heat transfer model of the liquid-cooled motor. The conjugate heat transfer modeling includes fluid domain mesh modeling; The fluid domain mesh model represents the region through which the fluid flows within the liquid-cooled motor; The motor flow field acquisition module is used to perform simulation calculations on the fluid domain mesh model to acquire the flow field information of the liquid-cooled motor; The flow field information of the liquid-cooled motor includes fluid velocity field information, fluid pressure field information, and fluid volume fraction field information. The information mapping module is used to map the flow field information of the liquid-cooled motor to the fluid domain mesh model as the initial flow field information; The temperature field simulation module is used to freeze all physical fields except the temperature field during the simulation process. The temperature field is used as a variable, and the fluid velocity field information, fluid pressure field information, and fluid volume fraction field information in the initial flow field information are used as known quantities. The fluid temperature field and solid temperature field are solved conjugately. That is, based on the actual operating condition parameters of the liquid-cooled motor and the conjugate heat transfer modeling and temperature field calculation formula, the simulation results of the fluid temperature field and solid temperature field of the liquid-cooled motor are generated simultaneously. The motor flow field acquisition module includes: The air cooling flow field acquisition submodule is used to model the fluid domain mesh as an air fluid domain mesh and perform steady-state solution on the air fluid domain mesh model to obtain the air cooling flow field information. The coolant cooling flow field acquisition submodule is used to extract the surface mesh model from the fluid domain mesh modeling, and process the surface mesh modeling and the air cooling flow field information to obtain the coolant cooling flow field information. The merging submodule is used to merge the air-cooled flow field information and the coolant-cooled flow field information to obtain the flow field information of the liquid-cooled motor. The air-cooled flow field information includes air velocity field information and air pressure field information; the liquid-cooled motor includes a rotor; and the coolant cooling flow field acquisition submodule includes: The smooth particle flow field acquisition unit is used to extract the surface mesh model from the fluid domain mesh model, use the surface mesh model and the air velocity field information as input parameters of the smooth particle flow field dynamic model, and acquire velocity information, pressure information and cooling liquid integral field information at preset rotation angle intervals in each cycle of the rotor rotation; the cooling liquid integral field information represents the volume occupied by the coolant per unit volume; The averaging operation unit performs averaging operations on each of the velocity information, pressure information, and coolant integral field information within each cycle to obtain coolant velocity field information, coolant pressure field information, and coolant integral field information.

7. An electronic device, characterized in that, The method includes a processor and a memory, wherein the memory stores a program or instructions that can run on the processor, and the program or instructions, when executed by the processor, implement the steps of the simulation method for the temperature field of a liquid-cooled motor as described in any one of claims 1 to 5.

8. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the simulation method for the temperature field of a liquid-cooled motor as described in any one of claims 1 to 5.

Citation Information

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