Simulation verification method for defrosting performance of vehicle and related product
By establishing a vehicle simulation model and conducting steady-state simulation, the problems of long development cycle and high cost caused by traditional real vehicle experiments were solved, and efficient defrost performance evaluation was achieved.
Patent Information
- Application Number
- CN202510611460.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-13
- Publication Date
- 2025-09-12
AI Technical Summary
Traditional vehicle defrost performance verification relies on actual vehicle experiments, resulting in long development cycles and high costs, making it difficult to meet the requirements for defrost performance evaluation efficiency.
By establishing a simulation model of the vehicle, performing simulation mesh processing and steady-state simulation, setting simulation constraints, and evaluating the defrosting performance of the components to be defrosted.
Effectively evaluate defrost performance in the early stages of vehicle design, replacing actual vehicle testing, significantly shortening development cycles and reducing costs, while improving evaluation efficiency.
Smart Images
Figure CN120633496A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of automobile technology, and in particular to a simulation verification method for vehicle defrosting performance and related products. Background Art
[0002] Vehicle defrosting refers to the removal of frost or ice from the windshield's exterior surface through the defrost system or windshield wipers. The vehicle's defrost performance directly affects the driver's field of vision in cold conditions. Slow defrosting or insufficient coverage can restrict the driver's field of vision, impairing their ability to judge their surroundings and seriously threatening driving safety.
[0003] Traditionally, vehicle defrost performance verification has typically been conducted on actual vehicles, with the entire vehicle undergoing defrost testing in a specific environmental chamber. This reliance on actual vehicle verification requires significant time and cost for vehicle design and manufacturing, resulting in long development cycles and high costs. This makes it difficult to meet the growing demand for efficient vehicle defrost performance evaluation. Summary of the Invention
[0004] The embodiments of the present application provide a simulation verification method for vehicle defrost performance and related products, which can effectively reduce the development cycle and development costs and improve the efficiency of evaluating vehicle defrost performance.
[0005] In a first aspect, an embodiment of the present application provides a simulation verification method for vehicle defrost performance, comprising:
[0006] establishing a simulation model of a vehicle, the vehicle including components to be defrosted;
[0007] Processing the simulation model to obtain a simulation grid, wherein the simulation grid is provided with simulation constraints;
[0008] Performing a steady-state simulation on the flow field of the simulation grid based on the simulation constraint conditions to obtain a simulation result, wherein the steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraint conditions;
[0009] Based on the simulation results, the defrosting performance of the component to be defrosted is determined.
[0010] Optionally, processing the simulation model to obtain a simulation grid includes:
[0011] Performing mesh processing on the simulation model using HyperMesh software (a computer-aided engineering application software package) to obtain a surface mesh;
[0012] The surface mesh is three-dimensionally processed using STAR-CCM+ software (a computational fluid dynamics solver) to generate a volume mesh;
[0013] The simulation constraints are set on the volume mesh using the STAR-CCM+ software to obtain the simulation mesh.
[0014] Optionally, performing mesh processing on the simulation model using HyperMesh software to obtain a surface mesh includes:
[0015] Meshing the simulation model using HyperMesh software to obtain an initial surface mesh;
[0016] The surface mesh is obtained by filtering initial surface meshes that fail the quality check from the initial surface meshes using HyperMesh software, wherein the initial surface meshes that fail the quality check include initial surface meshes with duplications and initial surface meshes with deletions.
[0017] Optionally, meshing the simulation model using HyperMesh software to obtain an initial surface mesh includes:
[0018] Meshing the key parts of the simulation model according to the first size to obtain initial surface meshes corresponding to the key parts;
[0019] Meshing the non-critical parts of the simulation model according to the second size to obtain an initial surface mesh corresponding to the non-critical parts;
[0020] The first size is smaller than the second size, and the correlation between the key part and the defrost performance is higher than the correlation between the non-key part and the defrost performance.
[0021] Optionally, the simulation constraint conditions include boundary conditions, solution conditions, and convergence conditions; the boundary conditions include: setting the inlet of the flow field as an inlet for fluid mass flow, setting the outlet of the flow field as an outlet for fluid pressure, setting other wall surfaces in the flow field except the surface where the inlet and the surface where the outlet are located as non-slip wall surfaces, and setting the temperature of the inlet to a preset temperature;
[0022] The solution conditions include: setting the fluid model to an incompressible model, using the Realizable K-epsilon model as the turbulence model, using the second-order headwind difference format as the spatial discretization method, using the Simple semi-implicit method of the pressure coupling equations as the iteration method, and setting the computational space domain to three dimensions;
[0023] The convergence conditions include: the mass change of the fluid before and after defrosting is less than the first change, the energy change of the fluid before and after defrosting is less than the second change, the momentum change of the fluid before and after defrosting is less than the third change, the fluid mechanics equation reaches convergence during the iterative calculation process, and the changes in multiple physical quantities of the fluid at different positions and times during the defrosting process are all less than the fourth change.
[0024] Optionally, performing steady-state simulation on the flow field of the simulation grid based on the simulation constraint condition to obtain a simulation result includes:
[0025] On a high performance computing (HPC) platform, a steady-state simulation is performed on the flow field of the simulation grid based on the simulation constraint conditions to obtain the simulation result;
[0026] Among them, for the front windshield among the components to be defrosted, the simulation results include:
[0027] a first wind speed corresponding to a first viewing area of the front windshield, a second wind speed corresponding to a second viewing area of the front windshield, a third wind speed corresponding to a third viewing area of the front windshield, a first ratio of an area of the first viewing area at the first wind speed to an area of the first viewing area, a second ratio of an area of the second viewing area at the second wind speed to an area of the second viewing area, and a third ratio of an area of the third viewing area at the third wind speed to an area of the third viewing area;
[0028] The first viewing area is the defrost viewing area corresponding to the main driver of the vehicle, the second viewing area is the defrost viewing area corresponding to the co-driver of the vehicle, and the third viewing area is the defrost viewing area located between the main driver and the co-driver.
[0029] Optionally, determining the defrost performance of the component to be defrosted based on the simulation result includes:
[0030] When the first wind speed, the second wind speed, and the third wind speed are all lower than the target wind speed, and the first ratio, the second ratio, and the third ratio are all lower than the target ratio, determining that the defrost performance of the component to be defrosted is unqualified;
[0031] When the first wind speed, the second wind speed and the third wind speed are all greater than or equal to the target wind speed, and the first ratio, the second ratio and the third ratio are all greater than or equal to the target ratio, it is determined that the defrost performance of the component to be defrosted is qualified.
[0032] In a second aspect, an embodiment of the present application provides a vehicle defrost performance device, comprising:
[0033] A simulation model building module, for building a simulation model of a vehicle, wherein the vehicle includes components to be defrosted;
[0034] A simulation model processing module processes the simulation model to obtain a simulation grid, wherein the simulation grid is provided with simulation constraints;
[0035] a simulation result acquisition module, performing a steady-state simulation on the flow field of the simulation grid based on the simulation constraint conditions to obtain a simulation result, wherein the steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraint conditions;
[0036] The defrost performance determination module is configured to determine the defrost performance of the component to be defrosted based on the simulation result.
[0037] In a third aspect, an embodiment of the present application provides an electronic device, the device comprising: a processor, a memory, and a system bus;
[0038] The processor and the memory are connected via the system bus;
[0039] The memory is used to store a program, which includes instructions. When the instructions are executed by the processor, the processor executes any one of the implementation steps of the above-mentioned method for simulating and verifying the defrosting performance of the vehicle.
[0040] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which is used to store a computer program. When the computer program is executed by a terminal device, it implements any implementation step of the simulation verification method for the defrost performance of the above-mentioned vehicle.
[0041] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:
[0042] In an embodiment of the present application, a simulation model of a vehicle is first established, and the vehicle includes parts to be defrosted. The simulation model is then processed to obtain a simulation grid, and the simulation grid is provided with simulation constraints. Subsequently, a steady-state simulation is performed on the simulation grid based on the simulation constraints to obtain simulation results. The steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraints. Finally, based on the simulation results, the defrosting performance of the parts to be defrosted is determined. It can be seen that by establishing a simulation model of the vehicle, not only can the defrosting performance of the vehicle be effectively evaluated in the early stages of vehicle design, but it can also effectively replace the traditional method of actual vehicle testing, thereby significantly shortening the development cycle and reducing development costs. Moreover, by performing a steady-state simulation on the simulation model, the time variable can be further ignored with the help of the steady-state simulation method, and the simulation process can be simplified to quickly obtain simulation results, thereby helping to improve the computational efficiency of the simulation model and reduce resource consumption and simulation time. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 A flowchart of a method for simulating and verifying the defrosting performance of a vehicle provided in an embodiment of the present application;
[0044] Figure 2 A schematic diagram of a vehicle simulation model provided in an embodiment of the present application;
[0045] Figure 3 A schematic diagram of another vehicle simulation model provided in an embodiment of the present application;
[0046] Figure 4 A schematic structural diagram of a vehicle defrost performance device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0047] As mentioned above, a vehicle's defrost performance significantly impacts the driver's field of vision in cold conditions. Slow defrosting or inadequate coverage of the defrost area can restrict the driver's field of vision, affecting their ability to judge the surrounding environment and, in severe cases, even threatening driving safety. Traditional vehicle defrost performance verification typically relies on actual vehicle testing, where the entire vehicle is defrosted in a specific environmental chamber. However, this testing method requires the vehicle to be designed and manufactured before it can be performed. This process is time-consuming and costly, making it difficult to meet the current demand for continuous improvement in the efficiency of defrost performance evaluation.
[0048] Based on this, in order to solve the above problems, an embodiment of the present application provides a simulation verification method for the defrost performance of a vehicle, including: establishing a simulation model of a vehicle, and the vehicle includes components to be defrosted, and then processing the simulation model to obtain a simulation grid, the simulation grid is set with simulation constraints, and then, based on the simulation constraints, a steady-state simulation is performed on the simulation grid to obtain a simulation result. The steady-state simulation is used to make the flow field gradually converge to a steady state during the simulation process through the simulation constraints. Finally, based on the simulation results, the defrost performance of the components to be defrosted is determined.
[0049] As can be seen, establishing a vehicle simulation model not only effectively evaluates vehicle defrost performance during the initial design phase but also effectively replaces traditional real-vehicle testing, significantly shortening development cycles and reducing development costs. Furthermore, performing steady-state simulation on this model further reduces the time variable, simplifying the simulation process and rapidly obtaining simulation results. This helps improve the computational efficiency of the simulation model, reducing resource consumption and simulation time.
[0050] It should be noted that the embodiments of the present application do not limit the execution entity of the vehicle defrost performance simulation verification method. For example, the vehicle defrost performance simulation verification method of the embodiments of the present application can be applied to electronic devices used for simulation verification, such as servers or terminal devices. The server can be a standalone server, a cluster server, or a cloud server. The terminal device can be an electronic device such as a smartphone, a computer, a personal digital assistant (PDA), or a tablet computer.
[0051] In order to make the purpose, technical solutions and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0052] Figure 1 This is a flow chart of a simulation verification method for a vehicle's defrosting performance provided in an embodiment of the present application. Figure 1 As shown, the simulation verification method for the defrost performance of a vehicle in the embodiment of the present application may include the following steps S101 to S104.
[0053] S101: Establishing a simulation model of a vehicle, where the vehicle includes components to be defrosted.
[0054] In practical applications, the simulation model of the vehicle can be established based on the finite element analysis method. Finite element analysis uses mathematical approximation methods to simulate the real physical system (geometry and load conditions), using simple but interacting elements (i.e. units) to approximate the real system with infinite unknown quantities with a finite number of unknown quantities. Figure 2 A schematic diagram of a vehicle simulation model provided in an embodiment of the present application is shown. Figure 3 A schematic diagram of another vehicle simulation model provided in an embodiment of the present application, combined with Figure 2 and Figure 3 As shown, the vehicle simulation model established in this embodiment is constructed based on a real vehicle, but it does not require the development or deployment of a real vehicle in advance. Therefore, it can more realistically restore the experimental scenario of the actual vehicle while reducing the development cost of the real vehicle, thereby improving the consistency and reliability between the simulation results and the actual experiment.
[0055] Accordingly, the established simulation model includes multiple components, and the components to be defrosted are those that are prone to frost and require defrosting. In a vehicle defrosting scenario, common components to be defrosted may include the front windshield, rearview mirrors, side windows, cameras, radar sensors, and other areas susceptible to frost.
[0056] S102: Processing the simulation model to obtain a simulation grid, where simulation constraints are set on the simulation grid.
[0057] In the embodiment of the present application, the simulation model is meshed using HyperMesh software, using an unstructured triangular mesh. Specifically, the key parts of the simulation model are meshed according to a first size to obtain initial surface meshes corresponding to the key parts, and the non-key parts of the simulation model are meshed according to a second size to obtain initial surface meshes corresponding to the non-key parts. The first size is smaller than the second size, and the first size can be 1-8 mm, and the second size can be 10-15 mm.
[0058] In the embodiment of this application, the key parts of the simulation model include the defrost duct, front windshield, air outlet grille, instrument panel, and the connecting columns between the front windshield and the left and right front doors (i.e., the interior A-pillars). For these key parts, the defrost duct can be divided into a grid of 2-4mm, the air outlet grille and front windshield can be divided into a grid of 1-3mm, and the instrument panel can be divided into a grid of 4-8mm. In addition, non-critical parts of the simulation model include the flow field inlet and outlet, the doors, the ceiling, the carpet, and the seats. For these non-critical parts, such as the doors, ceiling, the carpet, and the seats, the grid size can be divided into 10-15mm.
[0059] It should be noted that the purpose of finely dividing the critical areas of the simulation model and roughly dividing non-critical areas is to improve the simulation accuracy of key areas that affect defrost performance while maintaining overall computational efficiency. By increasing the mesh density and computational effort in key areas, the flow field changes in these areas can be more accurately captured. Therefore, the correlation between key areas and defrost performance is higher than that between non-critical areas and defrost performance.
[0060] Furthermore, after obtaining the initial surface mesh, it is necessary to perform a quality check on the initial surface mesh using HyperMesh software to filter out the initial surface meshes that fail the quality check. Among them, unqualified initial surface meshes include initial surface meshes with duplicates and initial surface meshes with missing parts. After completing the quality check of the initial surface mesh, the initial surface mesh with qualified quality is called the surface mesh. Subsequently, the surface mesh can be exported and saved as an stl (a file format for representing triangular meshes) file and stored in a specified folder to prepare for the subsequent generation of the volume mesh.
[0061] In an embodiment of the present application, the surface mesh saved as an stl file can be three-dimensionally processed by the STAR-CCM+ software to generate a volume mesh. At the same time, the STAR-CCM+ software can also set simulation constraints on the generated volume mesh to obtain a simulation mesh. Among them, the simulation constraints include boundary conditions, solution conditions and convergence conditions. Specifically, the boundary conditions can set the inlet of the flow field to the inlet of the fluid mass flow, set the outlet of the flow field to the outlet of the fluid pressure, set the other wall surfaces in the flow field except the surface where the inlet and the surface where the outlet are located to non-slip walls, and set the temperature of the flow field inlet to a preset temperature. The solution conditions can be set to the Realizable K-epsilon model when the fluid is set to an incompressible model, the turbulence model is set to the Realizable K-epsilon model, the spatial discretization method adopts the second-order headwind difference format, the iterative method adopts the semi-implicit method Simple of the pressure coupling equation group, and the calculation space domain is set to three-dimensional.
[0062] It should be noted that the convergence conditions require that the mass change of the fluid before and after defrosting is less than the first change, the energy change of the fluid before and after defrosting is less than the second change, the momentum change of the fluid before and after defrosting is less than the third change, the fluid mechanics equation reaches convergence during the iterative calculation process, and the changes in multiple physical quantities of the fluid at different positions and times during the defrosting process are all less than the fourth change. For example, the first change can be 0.1%, the second change can be 1%, the third change can be 5%, and the fourth change can be 10%. The above convergence conditions need to be considered comprehensively to accurately determine whether the flow field of the simulation model converges during the simulation process. At the same time, if the convergence conditions do not fluctuate significantly during the simulation calculation process, the simulation can be considered to be completed and the simulation calculation is terminated.
[0063] S103: performing steady-state simulation on the flow field of the simulation grid based on the simulation constraint conditions to obtain simulation results. The steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraint conditions.
[0064] It's important to note that steady-state simulation offers the advantages of a simpler and more efficient computational process compared to transient simulation. Because transient simulations need to account for the impact of time variations on the simulation results, the computational process is complex, consumes significant computing resources, and takes a long time. Steady-state simulations, on the other hand, do not need to account for variations in the time dimension, significantly simplifying the simulation process. Therefore, steady-state simulations are particularly suitable for the preliminary design phase and parameter optimization process, enabling rapid evaluation of the defrosting performance of components to be defrosted.
[0065] In an embodiment of the present application, on the HPC platform, a steady-state simulation can be performed on the flow field of the simulation grid based on the set simulation constraints. The steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraints, and by enabling the GPU for parallel computing, the computing efficiency is significantly improved, and the computing time is reduced by about 60%, thereby efficiently solving the simulation results.
[0066] Among them, for the front windshield in the part to be defrosted, the simulation results mainly include the first wind speed corresponding to the first field of view of the front windshield, the second wind speed in the second field of view of the front windshield, and the third wind speed corresponding to the third field of view of the front windshield, as well as the first ratio of the area of the area at the first wind speed in the first field of view to the area of the first field of view, the second ratio of the area of the area at the second wind speed in the second field of view to the area of the second field of view, and the third ratio of the area of the area at the third wind speed in the third field of view to the area of the third field of view.
[0067] It should be noted that the first viewing area is the defrost viewing area for the driver's seat, which is referred to as Area A in the relevant standards. The second viewing area is the defrost viewing area for the passenger seat, which is referred to as Area A' in the relevant standards. The third viewing area is the defrost viewing area between the driver and passenger seats, which is referred to as Area B in the relevant standards. Simulation results also indicate the location of the defrost airflow landing point for the components to be defrosted. By determining whether the defrost landing point covers the first, second, and third viewing areas, the simulation model's defrost coverage in key viewing areas can be evaluated, further analyzing the defrost performance of the simulation model.
[0068] S104: Determine the defrosting performance of the component to be defrosted based on the simulation result.
[0069] If the first wind speed, the second wind speed, and the third wind speed are all less than the target wind speed, and the first ratio, the second ratio, and the third ratio are all less than the target ratio, it is determined that the defrost performance of the component to be defrosted is unqualified. For example, the target wind speed may be 1.5 m / s, and the target ratio may be 80%. That is, if the first wind speed, the second wind speed, and the third wind speed are all less than 1.5 m / s, and the first ratio, the second ratio, and the third ratio are all less than 80%, it is determined that the defrost performance of the component to be defrosted is unqualified.
[0070] When the first wind speed, the second wind speed and the third wind speed are all greater than or equal to the target wind speed, and the first ratio, the second ratio and the third ratio are all greater than or equal to the target ratio, that is, when the first wind speed, the second wind speed and the third wind speed are all greater than or equal to 1.5m / s, and the first ratio, the second ratio and the third ratio are all greater than or equal to 80%, it can be determined that the defrost performance of the simulation model is qualified.
[0071] Furthermore, in the specific implementation, it is also possible to consider whether the position of the defrost landing point of the part to be defrosted is reasonable. Since whether the defrost landing point covers the key visual area of the vehicle is closely related to the defrost performance, considering the position of the defrost landing point is helpful to judge the defrost performance of the part to be defrosted.
[0072] Specifically, if the defrost point is between the first target point and the second target point, which are located between the lower edge of the third viewing area and the lower edge of the first viewing area, the defrost point is sufficient to cover the critical viewing area. However, if the defrost point is between the first target point and the second target point, which are located between the lower edge of the third viewing area and the lower edge of the first viewing area, the defrost point is insufficient to cover the critical viewing area. The first target point can be 1 / 3, and the second target point can be 2 / 3. If the defrost point is insufficient to cover the critical viewing area, the defrost performance of the component to be defrosted is generally unsatisfactory.
[0073] It's important to note that when performing steady-state simulations of a vehicle's defrost performance, if the simulation results show that the defrost airflow sufficiently covers the critical field of view, and the defrost performance evaluation results of the simulation model are also qualified, then the defrost performance of the simulation model can be considered to meet the vehicle's operating requirements. Based on this, further calculations for the transient defrost performance simulation can be reasonably omitted, thereby improving simulation efficiency and conserving computing resources.
[0074] Based on the relevant contents of the above steps S101 to S104, it can be seen that in the embodiment of the present application, a simulation model of the vehicle is first established, and the vehicle includes a component to be defrosted. Then, the simulation model is processed to obtain a simulation grid, and the simulation grid is provided with simulation constraints. Subsequently, a steady-state simulation is performed on the simulation grid based on the simulation constraints to obtain a simulation result. The steady-state simulation is used to make the flow field gradually converge to a steady state during the simulation process through the simulation constraints. Finally, based on the simulation results, the defrosting performance of the component to be defrosted is determined. It can be seen that by establishing a simulation model of the vehicle, not only can the defrosting performance of the vehicle be effectively evaluated in the early stage of vehicle design, but it can also effectively replace the traditional method of actual vehicle testing, thereby significantly shortening the development cycle and reducing development costs. Moreover, by performing a steady-state simulation on the simulation model, the time variable can be further ignored with the help of the steady-state simulation method, and the simulation process can be simplified to quickly obtain simulation results, thereby helping to improve the computational efficiency of the simulation model and reduce resource consumption and simulation time.
[0075] Figure 4 This is a schematic diagram of the structure of a vehicle defrosting performance device provided in an embodiment of the present application. Figure 4 As shown, the vehicle defrost performance device 400 provided in the embodiment of the present application may include:
[0076] A simulation model building module 401 is used to build a simulation model of a vehicle, wherein the vehicle includes components to be defrosted;
[0077] A simulation model processing module 402 is used to process the simulation model to obtain a simulation grid, wherein the simulation grid is provided with simulation constraints;
[0078] A simulation result acquisition module 403 is configured to perform a steady-state simulation on the flow field of the simulation grid based on the simulation constraints to obtain a simulation result, wherein the steady-state simulation is configured to gradually converge the flow field to a steady state during the simulation process based on the simulation constraints;
[0079] The defrost performance determination module 404 is configured to determine the defrost performance of the component to be defrosted based on the simulation result.
[0080] Optionally, the simulation model processing module 402 may include:
[0081] A surface mesh generation module is used to perform mesh processing on the simulation model using HyperMesh software to obtain a surface mesh;
[0082] A volume mesh generation module, configured to perform three-dimensional processing on the surface mesh using STAR-CCM+ software to generate a volume mesh;
[0083] A condition setting module is used to set the simulation constraint conditions for the volume mesh through the STAR-CCM+ software to obtain the simulation mesh.
[0084] Optionally, the surface mesh generation submodule may include:
[0085] A meshing module, configured to mesh the simulation model using HyperMesh software to obtain an initial surface mesh;
[0086] The mesh quality check module is used to filter the initial surface meshes that fail the quality check from the initial surface meshes through HyperMesh software to obtain the surface mesh, wherein the initial surface meshes that fail the quality check include duplicate initial surface meshes and missing initial surface meshes.
[0087] Optionally, the grid partitioning module is specifically used to:
[0088] Meshing the key parts of the simulation model according to the first size to obtain initial surface meshes corresponding to the key parts;
[0089] Meshing the non-critical parts of the simulation model according to the second size to obtain an initial surface mesh corresponding to the non-critical parts;
[0090] The first size is smaller than the second size, and the correlation between the key part and the defrost performance is higher than the correlation between the non-key part and the defrost performance.
[0091] Optionally, the simulation result acquisition module 403 is specifically configured to:
[0092] On a high-performance computing (HPC) platform, a steady-state simulation is performed on the flow field of the simulation grid based on the simulation constraint conditions to obtain the simulation result;
[0093] Among them, for the front windshield among the components to be defrosted, the simulation results include:
[0094] a first wind speed corresponding to a first viewing area of the front windshield, a second wind speed corresponding to a second viewing area of the front windshield, a third wind speed corresponding to a third viewing area of the front windshield, a first ratio of an area of the first viewing area at the first wind speed to an area of the first viewing area, a second ratio of an area of the second viewing area at the second wind speed to an area of the second viewing area, and a third ratio of an area of the third viewing area at the third wind speed to an area of the third viewing area;
[0095] The first viewing area is the defrost viewing area corresponding to the main driver of the vehicle, the second viewing area is the defrost viewing area corresponding to the co-driver of the vehicle, and the third viewing area is the defrost viewing area located between the main driver and the co-driver.
[0096] Optionally, the defrost performance determination module 404 is specifically configured to:
[0097] When the first wind speed, the second wind speed, and the third wind speed are all lower than the target wind speed, and the first ratio, the second ratio, and the third ratio are all lower than the target ratio, determining that the defrost performance of the component to be defrosted is unqualified;
[0098] When the first wind speed, the second wind speed and the third wind speed are all greater than or equal to the target wind speed, and the first ratio, the second ratio and the third ratio are all greater than or equal to the target ratio, it is determined that the defrost performance of the component to be defrosted is qualified.
[0099] Furthermore, an embodiment of the present application also provides an electronic device, comprising: a processor, a memory, and a system bus;
[0100] The processor and the memory are connected via the system bus;
[0101] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes any one of the implementation steps of the above-mentioned simulation verification method for vehicle defrosting performance.
[0102] Furthermore, an embodiment of the present application also provides a computer-readable storage medium, which is used to store a computer program. When the computer program is executed by a terminal device, it implements any implementation step in the above-mentioned simulation verification method of the vehicle defrost performance.
[0103] It can be seen from the description of the above implementation methods that those skilled in the art can clearly understand that all or part of the steps in the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a storage medium, such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the methods described in each embodiment of the present application or certain parts of the embodiments. It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referred to each other.
[0104] As for the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.
[0105] It should also be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.
[0106] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A simulation verification method for vehicle defrosting performance, characterized in that: The method comprises: establishing a simulation model of a vehicle, the vehicle including components to be defrosted; Processing the simulation model to obtain a simulation grid, wherein the simulation grid is provided with simulation constraints; Performing a steady-state simulation on the flow field of the simulation grid based on the simulation constraint conditions to obtain a simulation result, wherein the steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraint conditions; Based on the simulation results, the defrosting performance of the component to be defrosted is determined.
2. The simulation verification method for vehicle defrosting performance according to claim 1, characterized in that: The processing of the simulation model to obtain a simulation grid includes: Performing mesh processing on the simulation model using HyperMesh software to obtain a surface mesh; Performing three-dimensional processing on the surface mesh using STAR-CCM+ software to generate a volume mesh; The simulation constraints are set on the volume mesh using the STAR-CCM+ software to obtain the simulation mesh.
3. The simulation verification method for vehicle defrosting performance according to claim 2, characterized in that: The mesh processing of the simulation model by HyperMesh software to obtain a surface mesh includes: Meshing the simulation model using HyperMesh software to obtain an initial surface mesh; The surface mesh is obtained by filtering initial surface meshes that fail the quality check from the initial surface meshes using HyperMesh software, wherein the initial surface meshes that fail the quality check include initial surface meshes with duplications and initial surface meshes with deletions.
4. The simulation verification method for vehicle defrosting performance according to claim 3, characterized in that: The meshing of the simulation model using HyperMesh software to obtain an initial surface mesh includes: Meshing the key parts of the simulation model according to the first size to obtain initial surface meshes corresponding to the key parts; Meshing the non-critical parts of the simulation model according to the second size to obtain an initial surface mesh corresponding to the non-critical parts; The first size is smaller than the second size, and the correlation between the key part and the defrost performance is higher than the correlation between the non-key part and the defrost performance.
5. The simulation verification method for vehicle defrosting performance according to claim 2, characterized in that: The simulation constraints include boundary conditions, solution conditions and convergence conditions; The boundary conditions include: setting the inlet of the flow field as the inlet of the fluid mass flow, setting the outlet of the flow field as the outlet of the fluid pressure, setting the other wall surfaces of the flow field except the surface where the inlet and the surface where the outlet are located as non-slip wall surfaces, and the temperature of the inlet is a preset temperature; The solution conditions include: setting the fluid model to an incompressible model, using the Realizable K-epsilon model as the turbulence model, using the second-order headwind difference format as the spatial discretization method, using the Simple semi-implicit method of the pressure coupling equations as the iteration method, and setting the computational space domain to three dimensions; The convergence conditions include: the mass change of the fluid before and after defrosting is less than the first change, the energy change of the fluid before and after defrosting is less than the second change, the momentum change of the fluid before and after defrosting is less than the third change, the fluid mechanics equation reaches convergence during the iterative calculation process, and the changes in multiple physical quantities of the fluid at different positions and times during the defrosting process are all less than the fourth change.
6. The simulation verification method for vehicle defrosting performance according to claim 1, characterized in that: The step of performing steady-state simulation on the flow field of the simulation grid based on the simulation constraint conditions to obtain a simulation result includes: On a high-performance computing (HPC) platform, a steady-state simulation is performed on the flow field of the simulation grid based on the simulation constraint conditions to obtain the simulation result; Among them, for the front windshield among the components to be defrosted, the simulation results include: a first wind speed corresponding to a first viewing area of the front windshield, a second wind speed corresponding to a second viewing area of the front windshield, a third wind speed corresponding to a third viewing area of the front windshield, a first ratio of an area of the first viewing area at the first wind speed to an area of the first viewing area, a second ratio of an area of the second viewing area at the second wind speed to an area of the second viewing area, and a third ratio of an area of the third viewing area at the third wind speed to an area of the third viewing area; The first viewing area is the defrost viewing area corresponding to the main driver of the vehicle, the second viewing area is the defrost viewing area corresponding to the co-driver of the vehicle, and the third viewing area is the defrost viewing area located between the main driver and the co-driver.
7. The simulation verification method for vehicle defrosting performance according to claim 6, characterized in that: The determining of the defrost performance of the component to be defrosted based on the simulation result includes: When the first wind speed, the second wind speed, and the third wind speed are all lower than the target wind speed, and the first ratio, the second ratio, and the third ratio are all lower than the target ratio, determining that the defrost performance of the component to be defrosted is unqualified; When the first wind speed, the second wind speed and the third wind speed are all greater than or equal to the target wind speed, and the first ratio, the second ratio and the third ratio are all greater than or equal to the target ratio, it is determined that the defrost performance of the component to be defrosted is qualified.
8. A vehicle defrosting device, characterized in that: include: A simulation model building module, for building a simulation model of a vehicle, wherein the vehicle includes components to be defrosted; A simulation model processing module, configured to process the simulation model to obtain a simulation grid, wherein the simulation grid is provided with simulation constraints; A simulation result acquisition module is used to perform a steady-state simulation on the flow field of the simulation grid based on the simulation constraint conditions to obtain a simulation result, wherein the steady-state simulation is used to gradually converge the flow field to a steady state during the simulation process through the simulation constraint conditions; The defrost performance determination module is configured to determine the defrost performance of the component to be defrosted based on the simulation result.
9. An electronic device, characterized in that: The device includes: a processor, a memory, and a system bus; The processor and the memory are connected via the system bus; The memory is used to store a program, wherein the program includes instructions, and when the instructions are executed by the processor, the processor executes the steps of the method for simulating and verifying the defrosting performance of a vehicle according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store a computer program, which, when executed by a terminal device, implements the steps of the simulation verification method for the defrosting performance of a vehicle according to any one of claims 1 to 7.