A simulation modeling method, device and equipment of a vehicle part and a storage medium

Abstract

The application provides a simulation modeling method, device and equipment of vehicle parts and a storage medium. The method comprises the following steps: intercepting part pictures under different visual angles from a pre-constructed vehicle simulation model; identifying key features of a part to be modeled according to the part pictures under different visual angles, and obtaining two-dimensional plane coordinates of the key features; converting the two-dimensional plane coordinates of the key features into three-dimensional coordinates; and modeling the part to be modeled in the vehicle simulation model according to the three-dimensional coordinates. The application can effectively improve the automation degree of vehicle part modeling and shorten the time consumed in modeling during the automobile design stage.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle part simulation modeling, and in particular to a vehicle part simulation modeling method, device, equipment and storage medium. BACKGROUND

[0002] For the development of an automobile, three stages are mainly divided, including a design stage, a manufacturing stage and a verification stage, which can be referred to as an upstream, a midstream and a downstream relationship of an industry. In the design stage of the automobile, simulation analysis needs to be performed on a vehicle. An initial structure data is usually obtained by a designer through design, and then is input into simulation software for simulation verification. However, due to non-standard input of initial data for simulation analysis, and size difference between vehicle models, the position of a vehicle part to be modeled changes, so that simulation analysis modeling for collision safety is currently in a state of manual modeling, and an engineer needs to identify vehicle parts one by one, the knowledge dependence of the engineer on a program is high, and it is difficult to standardize pre-processing of modeling, the modeling process is time-consuming, and the degree of modeling automation is low. SUMMARY

[0003] In view of the above problems, the present application aims to provide a vehicle part simulation modeling method, device, equipment and storage medium, which can effectively improve the degree of automation of vehicle part modeling and shorten the time-consuming of modeling.

[0004] In a first aspect, an embodiment of the present application provides a vehicle part simulation modeling method, comprising:

[0005] intercepting part pictures under different perspectives from a pre-constructed vehicle simulation model;

[0006] identifying key features of a part to be modeled according to the part pictures under different perspectives, and obtaining two-dimensional plane coordinates of the key features;

[0007] converting the two-dimensional plane coordinates of the key features into three-dimensional coordinates;

[0008] modeling the part to be modeled in the vehicle simulation model according to the three-dimensional coordinates.

[0009] As an improvement of the above scheme, the intercepting of the part pictures under different perspectives from the pre-constructed vehicle simulation model comprises:

[0010] importing the vehicle simulation model into a finite element pre-processing software, and taking screenshots of the vehicle simulation model from different perspectives through the finite element pre-processing software to obtain the part pictures under different perspectives.

[0011] As an improvement of the above-mentioned scheme, the key features of the part to be modeled are identified according to the part pictures under different viewing angles, and the two-dimensional plane coordinates of the key features are obtained, comprising:

[0012] The key features of the part to be modeled are identified through image recognition of the part pictures under all viewing angles by the pre-trained deep learning model;

[0013] According to the position correlation between the part pictures and the vehicle simulation model, the two-dimensional plane coordinates of the key features on different planes are obtained.

[0014] As an improvement of the above-mentioned scheme, the modeling of the part to be modeled in the vehicle simulation model is performed according to the three-dimensional coordinates, comprising:

[0015] The three-dimensional coordinates are imported into the finite element pre-processing software to identify model features in the vehicle simulation model according to the three-dimensional coordinates;

[0016] According to the identified model features, a finite element model of the part to be modeled is established.

[0017] As an improvement of the above-mentioned scheme, the part pictures carry size identification of the part to be modeled.

[0018] As an improvement of the above-mentioned scheme, the part pictures under different viewing angles are obtained by taking screenshots of the vehicle simulation model from different viewing angles by the finite element pre-processing software, comprising:

[0019] The part pictures under X, Y, Z directions are obtained by taking screenshots of the vehicle simulation model from the corresponding viewing angles of X, Y, Z axes of the reference coordinate system by the finite element pre-processing software.

[0020] As an improvement of the above-mentioned scheme, the two-dimensional plane coordinates of the key features on different planes are obtained according to the position correlation between the part pictures and the vehicle simulation model, comprising:

[0021] According to the position correlation between the part pictures and the vehicle simulation model, the two-dimensional plane coordinates of the key features on XY, YZ, ZX planes are obtained.

[0022] In a second aspect, the embodiments of the present application provide a simulation modeling device for vehicle parts, comprising:

[0023] The screenshot module is configured to take part pictures under different viewing angles from a pre-constructed vehicle simulation model;

[0024] The coordinate acquisition module is configured to identify key features of the part to be modeled according to the part pictures under different viewing angles, and acquire two-dimensional plane coordinates of the key features.

[0025] The coordinate conversion module is configured to convert the two-dimensional plane coordinates of the key features into three-dimensional coordinates.

[0026] The part modeling module is configured to model the part to be modeled in the vehicle simulation model according to the three-dimensional coordinates.

[0027] In a third aspect, an embodiment of the present application provides a simulation modeling device for vehicle parts, which comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the simulation modeling method for vehicle parts according to the first aspect when the computer program is executed.

[0028] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which comprises a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute the simulation modeling method for vehicle parts according to the first aspect when the computer program is executed.

[0029] Compared with the prior art, the embodiment of the present application has the beneficial effects that: the present application can expand the range of automatically identifiable features by taking screenshots of part pictures under different viewing angles and identifying key features of the part pictures under different viewing angles; based on the three-dimensional coordinates of the identified key features, the part to be modeled is modeled in the vehicle simulation model, the entire modeling process does not require engineers to identify and model the part to be modeled one by one, effectively reduces the dependence on engineers' knowledge in the modeling process, standardizes the pre-modeling process, effectively improves the automation degree of vehicle part modeling, and shortens the time consumed for modeling. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the present application, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings described in the following are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0031] Figure 1 is a flowchart of a simulation modeling method for vehicle parts provided by an embodiment of the present application;

[0032] Figure 2 is a modeling flowchart schematic diagram provided by an embodiment of the present application, in which the image recognition program is combined with the finite element pre-processing software;

[0033] Figure 3is a schematic view of a vehicle part simulation modeling device provided by an embodiment of the present application;

[0034] Figure 4 is a schematic view of a vehicle part simulation modeling device provided by an embodiment of the present application; DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0036] Embodiment one

[0037] Please refer to Figure 1 is a flowchart of a vehicle part simulation modeling method provided by an embodiment of the present application. The vehicle part simulation modeling method specifically includes the following steps.

[0038] S1: intercepting a part picture under different visual angles from a pre-constructed vehicle simulation model;

[0039] For the visual angle of the intercepted part picture, a plurality of optimal different visual angles are selected according to the characteristics of different automobile assembly parts to take screenshots, so as to improve the recognizability of the part picture.

[0040] Further, the part picture carries a size identifier of a corresponding part to be modeled. The size identifier carried by the part picture is used to keep the coordinates of the part to be modeled consistent with the coordinates of the part to be modeled in the vehicle simulation model.

[0041] S2: identifying key features of the part to be modeled according to the part picture under different visual angles, and obtaining two-dimensional plane coordinates of the key features;

[0042] For the intercepted part picture, the part picture is imported into an image recognition program to distinguish automobile assembly parts and identify key features of each automobile assembly part to be modeled. Since engineers do not need to identify one by one, the range of automatically identifiable features can be effectively expanded, and errors caused by non-standard initial data in the automobile design stage can be distinguished to improve modeling accuracy.

[0043] S3: converting the two-dimensional plane coordinates of the key features into three-dimensional coordinates;

[0044] S4: modeling the part to be modeled in the vehicle simulation model according to the three-dimensional coordinates.

[0045] In the embodiment of the present application, based on the three-dimensional coordinates of the identified key features, modeling of the parts to be modeled is performed in the vehicle simulation model, and the entire modeling process does not require engineers to identify and model the parts to be modeled one by one, effectively reducing the dependence on the knowledge of engineers in the modeling process, standardizing the pre-modeling process, effectively improving the automation of vehicle part modeling, and shortening the time required for modeling.

[0046] In an alternative embodiment, the part pictures under different perspectives are intercepted from the pre-constructed vehicle simulation model, including:

[0047] The vehicle simulation model is imported into the finite element pre-processing software, and the vehicle simulation model is photographed from different perspectives by the finite element pre-processing software to obtain part pictures under different perspectives.

[0048] Further, the vehicle simulation model is photographed from the perspectives corresponding to the X-axis, Y-axis and Z-axis of the reference coordinate system by the finite element pre-processing software to obtain part pictures under the X, Y and Z directions. The reference coordinate system is a three-dimensional rectangular coordinate system defined in advance in the finite element pre-processing software.

[0049] The finite element pre-processing software can be ansa, hyperwords or the like. The image recognition program can be independent of the finite element pre-processing software, only leaving an interface to connect with the finite element pre-processing software to reduce the difficulty of implementation of the present application, or the image recognition program is integrated into the finite element pre-processing software to become a part of the finite element pre-processing software, thereby improving the modeling efficiency.

[0050] In an alternative embodiment, the key features of the parts to be modeled are identified according to the part pictures under different perspectives, and two-dimensional plane coordinates of the key features are obtained, including:

[0051] The part pictures under all perspectives are subjected to image recognition by a pre-trained deep learning model to identify the key features of the parts to be modeled;

[0052] According to the position association relationship between the part pictures and the vehicle simulation model, two-dimensional plane coordinates of the key features on different planes are obtained.

[0053] Further, according to the position association relationship between the part pictures and the vehicle simulation model, two-dimensional plane coordinates of the key features on XY, YZ and ZX planes are obtained.

[0054] In an alternative embodiment, the three-dimensional coordinates are used to perform modeling of the parts to be modeled in the vehicle simulation model, including:

[0055] importing the three-dimensional coordinates into the finite element pre-processing software to identify model features in the vehicle simulation model according to the three-dimensional coordinates;

[0056] establishing a finite element model for the modeling part according to the identified model features.

[0057] In the embodiment of the application, the finite element pre-processing software identifies model features such as connected holes, connection sites, materials, etc. based on the three-dimensional coordinates, and performs operations such as creating connections, assigning materials, and establishing contacts on the identified model features, thereby realizing the modeling of the finite element model of the modeling part in the vehicle simulation model.

[0058] For example, as shown in the figure, the modeling process using the image recognition program combined with the finite element pre-processing software is as follows: Figure 2

[0059] 1. The finite element pre-processing software opens the basic mesh, and cuts the part picture to be identified from the X, Y, and Z directions; wherein the vehicle simulation model is imported into the finite element pre-processing software in advance.

[0060] 2. The part picture is passed to the image recognition program based on deep learning, and the key features of modeling are identified.

[0061] 3. Based on the positional correlation between the part picture and the vehicle simulation model, the two-dimensional plane coordinates of the identified key features on the XY, YZ, and ZX planes are extracted.

[0062] 4. The two-dimensional plane coordinates of the key features are converted into three-dimensional coordinates.

[0063] 5. The three-dimensional coordinates of the key features are transmitted back to the finite element pre-processing software.

[0064] 6. The finite element pre-processing software identifies model features based on the three-dimensional coordinates of the key features and automatically models.

[0065] After establishing the finite element model of the automobile part in the finite element pre-processing software, the finite element model can be subjected to automobile collision finite element simulation, and the corresponding real automobile parts can be subjected to real collision test. For automobile collision finite element simulation and real collision test, the various loads on the automobile are analyzed, the strength and stiffness of the automobile structure are calculated, and the above parameters are compared and analyzed, thereby obtaining the correctness of the finite element model. If the correctness is lower than the set threshold, the part picture recognition and modeling process are re-executed.

[0066] Compared with the prior art, the embodiment of the application has the following advantages:

[0067] ​1. The application can expand the range of automatically identifiable features by capturing part pictures from different perspectives and identifying key features of the part pictures from different perspectives. It can also distinguish errors caused by non-standard initial data in the automobile design stage, improving modeling accuracy.

[0068] 2. Based on the three-dimensional coordinates of the identified key features, modeling of the proposed modeling parts is performed in the vehicle simulation model. The entire modeling process does not require engineers to identify and model the proposed modeling parts one by one, effectively reducing the dependence on engineers' knowledge during the modeling process. It achieves standardization before modeling, effectively improves the automation level of vehicle part modeling, shortens the time-consuming of modeling, improves the standardization of analysis, and thus improves the simulation analysis capability.

[0069] 3. The combination of image recognition and finite element pre-processing can further expand the range of automatically identifiable features, improve the automation level of modeling, shorten the cycle of automobile development analysis, and improve product competitiveness.

[0070] Embodiment two

[0071] Please refer to Figure 3 The simulation modeling device for vehicle parts provided by the embodiments of the application comprises:

[0072] A screenshot module 1 is configured to capture part pictures from different perspectives from a pre-constructed vehicle simulation model.

[0073] A coordinate acquisition module 2 is configured to identify key features of the proposed modeling parts from the part pictures from different perspectives and acquire two-dimensional plane coordinates of the key features.

[0074] A coordinate conversion module 3 is configured to convert the two-dimensional plane coordinates of the key features into three-dimensional coordinates.

[0075] A part modeling module 4 is configured to perform modeling of the proposed modeling parts in the vehicle simulation model according to the three-dimensional coordinates.

[0076] In an optional embodiment, the screenshot module 1 is specifically configured to import the vehicle simulation model into finite element pre-processing software, capture screenshots of the vehicle simulation model from different perspectives through the finite element pre-processing software, and obtain part pictures from different perspectives.

[0077] Specifically, the vehicle simulation model is captured from the perspectives corresponding to the X-axis, Y-axis and Z-axis of the reference coordinate system through the finite element pre-processing software, and part pictures in the X, Y and Z directions are obtained.

[0078] In an optional embodiment, the coordinate acquisition module 2 comprises:

[0079] a key feature identification unit configured to identify key features of the part to be modeled by performing image recognition on the part pictures in all perspectives through a pre-trained deep learning model;

[0080] a two-dimensional plane coordinate acquisition unit configured to acquire two-dimensional plane coordinates of the key features on different planes according to a position association relationship between the part pictures and the vehicle simulation model.

[0081] Specifically, the two-dimensional plane coordinates of the key features on XY, YZ and ZX planes are acquired according to the position association relationship between the part pictures and the vehicle simulation model.

[0082] In an alternative embodiment, the part modeling module 4 comprises:

[0083] a model feature identification unit configured to import the three-dimensional coordinates into the finite element pre-processing software to identify model features in the vehicle simulation model according to the three-dimensional coordinates;

[0084] a finite element model establishment unit configured to establish a finite element model for the part to be modeled according to the identified model features.

[0085] In an alternative embodiment, the part pictures carry size identification of the part to be modeled.

[0086] It should be noted that the working principle and technical effects of the simulation modeling device for vehicle parts according to the embodiments of the present application are the same as those of the simulation modeling method for vehicle parts according to the first embodiment, and thus will not be described here again.

[0087] Embodiment Three

[0088] Please refer to Figure 4 The simulation modeling device for vehicle parts according to the embodiments of the present application comprises at least one processor 11, such as a CPU, at least one network interface 14 or other user interface 13, a memory 15, and at least one communication bus 12 for realizing connection and communication between these components. The user interface 13 can optionally comprise a USB interface and other standard interfaces, wired interfaces. The network interface 14 can optionally comprise a Wi-Fi interface and other wireless interfaces. The memory 15 can comprise a high-speed RAM memory and can also comprise a non-volatile memory, such as at least one disk memory. The memory 15 can optionally comprise at least one storage device located away from the aforementioned processor 11.

[0089] In some embodiments, the memory 15 stores the following elements, executable modules or data structures, or a subset thereof, or an extended set thereof:

[0090] The operating system 151 contains various system programs for implementing various basic services and processing hardware-based tasks;

[0091] The program 152.

[0092] In particular, the processor 11 is configured to invoke the program 152 stored in the memory 15 to execute the simulation modeling method of the vehicle part described in the above embodiments, for example Figure 1 The steps S1 shown in the figure. Alternatively, the processor implements the functions of each module / unit in the above device embodiments when executing the computer program, for example, the screenshot module is configured to capture the part pictures under different perspectives from the pre-constructed vehicle simulation model; the coordinate acquisition module is configured to identify the key features of the part to be modeled according to the part pictures under different perspectives, and acquire the two-dimensional plane coordinates of the key features; the coordinate conversion module is configured to convert the two-dimensional plane coordinates of the key features into three-dimensional coordinates; the part modeling module is configured to model the part to be modeled in the vehicle simulation model according to the three-dimensional coordinates.

[0093] For example, the computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the simulation modeling device of the vehicle part.

[0094] The simulation modeling device of the vehicle part can be a VCU, an ECU, a BMS, etc. The simulation modeling device of the vehicle part can include, but is not limited to, a processor, a memory. Those skilled in the art can understand that the schematic diagram is only an example of the simulation modeling device of the vehicle part, and does not constitute a limitation on the simulation modeling device of the vehicle part, and can include more or fewer components than the diagram, or combine certain components, or different components.

[0095] The processor 11 can be a microcontroller unit (MCU) central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or can also be any conventional processor. The processor 11 is the control center of the simulation modeling device of the vehicle part, and is connected to each part of the simulation modeling device of the vehicle part through various interfaces and lines.

[0096] The memory 15 can be used to store the computer programs and / or modules. The processor 11 realizes various functions of the simulation modeling device of the vehicle part by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory 15 can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application program required for a function (such as a sound playing function, an image playing function, etc.), etc. The data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 15 can include a high-speed random access memory, and can also include a nonvolatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory device.

[0097] The simulation modeling device integrated module / unit of the vehicle part can be stored in a computer readable storage medium if it is implemented in the form of a software function unit and sold or used as an independent product. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. The computer program can implement the steps of each method embodiment when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, an executable file, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0098] Embodiment four

[0099] The embodiment of the present application provides a computer readable storage medium, the computer readable storage medium comprises a stored computer program, wherein the computer readable storage medium controls the device to execute the simulation modeling method of the vehicle part when the computer program runs.

[0100] It should be noted that the above-described device embodiments are only schematic, wherein the units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. In addition, the connection relationship between the modules in the device embodiment provided by the present application indicates that there is a communication connection between them, which can be realized as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0101] The above is the preferred embodiment of the present application. It should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.

Claims

1. A method of simulation modeling of a vehicle part, characterized by, include: Extract part images from different perspectives from pre-built vehicle simulation models; Identifying key features of the part to be modeled based on the part images from different perspectives, and obtaining two-dimensional plane coordinates of the key features; Converting the two-dimensional plane coordinates of the key features into three-dimensional coordinates; Modeling the to-be-modeled part in the vehicle simulation model according to the three-dimensional coordinates; The part images from different perspectives are captured from the pre-built vehicle simulation model, including: Importing the vehicle simulation model into finite element pre-processing software, and taking screenshots of the vehicle simulation model from different perspectives using the finite element pre-processing software to obtain part images from different perspectives; The finite element pre-processing software is used to take screenshots of the vehicle simulation model from different perspectives to obtain part images from different perspectives, including: Using the finite element pre-processing software, the vehicle simulation model is captured from perspectives corresponding to the X-axis, Y-axis, and Z-axis of a reference coordinate system to obtain part images in the X, Y, and Z directions; the reference coordinate system is a three-dimensional rectangular coordinate system pre-defined in the finite element pre-processing software; The step of identifying key features of the part to be modeled based on the part images from different viewing angles and obtaining the two-dimensional plane coordinates of the key features includes: Using a pre-trained deep learning model, image recognition is performed on part images from all viewing angles to identify key features of the part to be modeled; the part images carry the size identification of the corresponding part to be modeled; According to the positional association relationship between the part image and the vehicle simulation model, the two-dimensional plane coordinates of the key features on different planes are obtained.

2. The simulation modeling method of a vehicle part according to claim 1, characterized by, Modeling the to-be-modeled part in the vehicle simulation model according to the three-dimensional coordinates includes: Importing the three-dimensional coordinates into the finite element pre-processing software to identify model features in the vehicle simulation model according to the three-dimensional coordinates; A finite element model is established for the to-be-modeled part according to the identified model features.

3. The simulation modeling method of a vehicle part according to claim 1, wherein The obtaining of the two-dimensional coordinates of the key features on different planes according to the positional association between the part image and the vehicle simulation model includes: According to the positional association between the part image and the vehicle simulation model, the two-dimensional plane coordinates of the key features on the XY, YZ, and ZX planes are obtained.

4. A simulation modeling device for a vehicle part, characterized by include: Screenshot module, used to capture part images from different perspectives from the pre-built vehicle simulation model; A coordinate acquisition module, configured to identify key features of the part to be modeled based on the part images from different viewing angles, and to acquire the two-dimensional plane coordinates of the key features; A coordinate conversion module, used for converting the two-dimensional plane coordinates of the key features into three-dimensional coordinates; A part modeling module, configured to model the part to be modeled in the vehicle simulation model according to the three-dimensional coordinates; The screenshot module is specifically used to import the vehicle simulation model into the finite element pre-processing software, and use the finite element pre-processing software to take screenshots of the vehicle simulation model from different perspectives to obtain part images from different perspectives; The part pictures under different perspectives are obtained by taking screenshots of the vehicle simulation model from different perspectives through the finite element pretreatment software, and the method comprises the following steps: The part pictures under X, Y and Z directions are obtained by taking screenshots of the vehicle simulation model from the perspectives corresponding to the X, Y and Z axes of the reference coordinate system through the finite element pretreatment software; the reference coordinate system is a three-dimensional rectangular coordinate system defined in advance in the finite element pretreatment software; The coordinate acquisition module comprises: A key feature identification unit is configured to identify the key features of the part to be modeled by performing image recognition on the part pictures under all perspectives through a pre-trained deep learning model; the part pictures carry the size identification of the part to be modeled; A two-dimensional plane coordinate acquisition unit is configured to acquire the two-dimensional plane coordinates of the key features on different planes according to the position association relationship between the part pictures and the vehicle simulation model.

5. A simulation modeling apparatus for a vehicle part, characterized by, A computer readable storage medium comprises a computer program stored therein, wherein the computer program, when executed, controls a device in which the computer readable storage medium is located to perform the simulation modeling method of the vehicle part according to any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises a computer program stored therein, wherein the computer program, when executed, controls a device in which the computer readable storage medium is located to perform the simulation modeling method of the vehicle part according to any one of claims 1-3.

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