CN116595624A - Vehicle wading simulation analysis method and device, electronic equipment and storage medium - Google Patents

Vehicle wading simulation analysis method and device, electronic equipment and storage medium Download PDF

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Publication number
CN116595624A
CN116595624A CN202211646165.7A CN202211646165A CN116595624A CN 116595624 A CN116595624 A CN 116595624A CN 202211646165 A CN202211646165 A CN 202211646165A CN 116595624 A CN116595624 A CN 116595624A
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wading
vehicle
simulation
simulated
determining
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孙博
姜福
兰天亮
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Beijing CHJ Automobile Technology Co Ltd
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Beijing CHJ Automobile Technology Co Ltd
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Priority to CN202211646165.7A priority Critical patent/CN116595624A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

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  • General Engineering & Computer Science (AREA)
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  • Aviation & Aerospace Engineering (AREA)
  • Pure & Applied Mathematics (AREA)
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  • Mathematical Analysis (AREA)
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  • Automation & Control Theory (AREA)
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Abstract

The application provides a vehicle wading simulation analysis method, a device, electronic equipment and a storage medium, which can construct a whole vehicle model of a vehicle to be simulated, extract the geometric structure of a preset part, and further carry out surface grid division on the geometric structure to obtain a plurality of grid units. And then determining wading simulation scenes and wading motions of the vehicle to be simulated in the wading simulation scenes respectively. And solving and outputting simulation state data according to the target solver. Therefore, simulation state data of the vehicle to be simulated in the wading simulation scene including the simulation physical field covering the wading pool can be output, the simulation state data is obtained by solving the motion of the vehicle to be simulated in the wading simulation scene through the target solver, and the vehicle to be simulated and the user of the wading simulation scene are created, so that the simulation state data can represent the problems of the actual vehicle corresponding to the vehicle to be simulated in the vehicle wading simulation flow in the wading scene, and the cost is saved.

Description

Vehicle wading simulation analysis method and device, electronic equipment and storage medium
Technical Field
The disclosure belongs to the technical field of simulation test, and in particular relates to a vehicle wading simulation analysis method, a vehicle wading simulation analysis device, electronic equipment and a storage medium
Background
Automobiles are used as smart crystals in the near-existing industry, and a large number of mechanical structures and electronic structures exist inside. In general, when the electronic and mechanical structures in the automobile meet water, operation faults may occur.
In order to improve the stability of an automobile and reduce potential safety hazards, automobile manufacturers generally implement wading experiments on the automobile after producing the automobile, so that safety problems of the automobile are found and the problems are solved. Because of the high cost of implementing wading experiments on real vehicles, some automobile manufacturers often perform wading simulation experiments on vehicles based on simulation models.
However, these automobile manufacturers tend to pay more attention to the damage and problems of the automobile engine in the wading scene, and neglect the problems of other parts constituting the vehicle or the whole vehicle in the wading scene. In addition, when wading experiments are carried out on automobile engines, only a vehicle model containing the engines is needed to be built, and interaction of vehicle parts such as white bodies and opening and closing parts in a real physical environment and possible problems caused by the interaction are ignored.
Disclosure of Invention
The embodiment of the application provides a vehicle wading simulation analysis method, device, equipment and storage medium, which can realize wading simulation of a whole vehicle model and determine simulation state data.
In one aspect, an embodiment of the present application provides a vehicle wading simulation analysis method, including:
constructing a whole vehicle model of a vehicle to be simulated;
extracting the geometric structure of a preset part of the vehicle to be simulated from the whole vehicle model;
performing surface grid division on the geometric structure to obtain a plurality of grid cells;
responding to a first setting operation of a user, determining a wading simulation scene of the vehicle to be simulated, wherein the wading simulation scene at least comprises a simulation physical field covering the wading pool;
determining wading motions of the vehicle to be simulated in the wading simulation scene in response to a second setting operation of the user;
according to a target solver, solving simulation state data of the grid cells when wading in the wading simulation scene;
and outputting the simulation state data.
Optionally, in response to a first setting operation of a user, determining a wading simulation scene of the vehicle to be simulated, where the wading simulation scene includes at least a simulation physical field covering the wading pool, and specifically includes:
Responding to a first setting operation of a user, determining the size of the wading pool, and constructing the wading pool;
determining that the surface of the whole vehicle model and the wading pool is a solid wall surface;
determining a fluid source and determining a relative position of the fluid source and the wading pool;
and constructing a simulation physical field covering the wading pool.
Optionally, constructing a simulation physical field covering the wading pool specifically includes:
constructing a simulation physical field, wherein the simulation physical field at least comprises a gravity field, a liquid physical field and a solid physical field;
the simulated physical field at least covers the wading pool.
Optionally, surface meshing is performed on the geometric structure to obtain a plurality of mesh units, which specifically includes:
responding to a third setting operation of a user, and determining a stressed part and a non-stressed part from preset parts of the vehicle to be simulated;
performing surface grid division on the geometric structure of the stressed component to obtain a plurality of grid units;
and carrying out surface meshing on the geometric structure of the non-stressed part to obtain a plurality of grid cells, wherein the size of the grid cells of the stressed part is smaller than that of the grid cells of the non-stressed part.
Optionally, according to the target solver, solving simulation state data of the plurality of grid cells when performing wading motion in the wading simulation scene specifically includes:
and determining interaction between the whole vehicle model and liquid in the wading simulation scene in the wading motion process of the whole vehicle model in the wading simulation scene by using each grid unit of the geometric structure of the whole vehicle model as a unit through a target solver, and acquiring simulation state data of the whole vehicle model in the wading motion process.
Optionally, in response to a second setting operation of the user, determining wading motion of the vehicle to be simulated in the wading simulation scene specifically includes:
determining a motion law of a tire of the vehicle to be simulated in response to a second setting operation of the user;
determining a motion association relationship between the tire and the vehicle to be simulated;
determining a suspension model of the vehicle to be simulated, and determining a motion association relationship between the tire and the suspension model;
and controlling the tire to rotate according to the motion law, so as to control the vehicle to be simulated to horizontally move in the wading simulation scene and control the suspension model in the vehicle to be simulated to vertically move while horizontally moving.
Optionally, outputting the simulation state data includes at least one of:
image data of the vehicle to be simulated moving in the wading simulation scene;
the wading area data of the preset part of the vehicle to be simulated;
the method comprises the steps that accumulated water inflow of an inlet and an outlet preset by a vehicle to be simulated at least comprises an engine air inlet pipe port and an air conditioner air inlet port;
and stress data of a preset part of the vehicle to be simulated.
Optionally, according to the target solver, solving simulation state data of the plurality of grid cells when performing wading motion in the wading simulation scene specifically includes:
determining the position and the size of a wading pool in the wading simulation scene;
constructing a solving limit domain covering the wading pool according to the position and the size of the wading pool;
and according to a target solver, solving simulation state data in the solving limiting domain when the grid cells perform wading motion in the wading simulation scene.
Optionally, before solving the simulation state data of the grid cells when performing the wading motion in the wading simulation scene according to the target solver, the method further includes:
Responding to the operation of a user, and taking the first solver as a basic solver;
determining that the particle diameter of the first solver is smaller than a first preset value, wherein the first preset value is 40 millimeters;
responding to the operation of a user, and taking the second solver as an accurate solver;
and determining that the particle diameter of the second solver is smaller than a second preset value, wherein the first preset value is 20 mm.
On the other hand, the embodiment of the application provides a vehicle wading simulation analysis device, which comprises:
the construction unit is used for constructing a whole vehicle model of the vehicle to be simulated;
the extraction unit is used for extracting the geometric structure of the preset part of the vehicle to be simulated from the whole vehicle model;
the dividing unit is used for carrying out surface grid division on the geometric structure to obtain a plurality of grid units;
the determining unit is used for responding to a first setting operation of a user and determining a wading simulation scene of the vehicle to be simulated, wherein the wading simulation scene at least comprises a simulation physical field covering the wading pool;
the motion unit is used for responding to the second setting operation of the user and determining wading motion of the vehicle to be simulated in the wading simulation scene;
The solving unit is used for solving simulation state data of the grid units when wading motion is performed in the wading simulation scene according to the target solver;
and the output unit is used for outputting the simulation state data.
In still another aspect, an embodiment of the present application provides a vehicle wading simulation analysis device, including:
a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the vehicle wading simulation analysis method as described above.
In yet another aspect, an embodiment of the present application provides a storage medium having stored thereon computer program instructions that, when executed by a processor, implement a vehicle wading simulation analysis method as described above.
In yet another aspect, an embodiment of the present application provides a computer program product, instructions in which, when executed by a processor of an electronic device, cause the electronic device to perform a vehicle wading simulation analysis method as described above.
According to the embodiment, the whole vehicle model of the vehicle to be simulated can be constructed, and the geometric structure of the preset part of the vehicle to be simulated is extracted from the whole vehicle model, so that the geometric structure is subjected to surface meshing to obtain a plurality of grid units. And determining a wading simulation scene of the vehicle to be simulated in response to a first setting operation of a user, and determining wading movement of the vehicle to be simulated in the wading simulation scene in response to a second setting operation of the user. And finally, according to the target solver, solving simulation state data of the grid cells when wading motion is carried out in the wading simulation scene, and outputting the simulation state data. In the above embodiment, simulation state data of a vehicle to be simulated in a wading simulation scene including a simulation physical field covering a wading pool may be output, where the simulation state data is obtained by solving, by a target solver, a motion of the vehicle to be simulated in the wading simulation scene, and the vehicle to be simulated and a user of the wading simulation scene are created, and the vehicle to be simulated is a whole vehicle model including parts such as a body in white, an opening and closing member, and an engine. Therefore, the simulation state data of the vehicle to be simulated under the wading simulation scene including the simulation physical field covering the wading pool, which is output by the electronic equipment, can enable a user to find problems of all parts of the actual vehicle corresponding to the vehicle to be simulated in the wading simulation flow of the vehicle under the wading scene when the vehicle is not produced, and saves cost.
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In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.
FIG. 1 is a schematic flow chart of a vehicle wading simulation analysis method according to an embodiment of the present application;
FIG. 2 is a schematic illustration of a relative position provided by the present application;
FIG. 3 is a schematic diagram of a positional relationship provided by the present application;
FIG. 4 is a schematic diagram of a solution limit domain provided by the present application;
FIG. 5 is a schematic diagram of another solution limit domain provided by the present application;
FIG. 6 is a schematic structural diagram of a vehicle wading simulation analysis device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a vehicle wading simulation analysis device according to an embodiment of the present application.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, a further description of aspects of the present disclosure will be provided below. It should be noted that, without conflict, the embodiments of the present disclosure and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced otherwise than as described herein; it will be apparent that the embodiments in the specification are only some, but not all, embodiments of the disclosure.
Fig. 1 shows a flow chart of a vehicle wading simulation analysis method according to an embodiment of the application. As shown in fig. 1, the vehicle wading simulation analysis method provided by the embodiment of the application comprises the following steps.
S101: and constructing a whole vehicle model of the vehicle to be simulated.
In one or more embodiments of the application, the vehicle wading simulation analysis method may be performed by an electronic device. Of course, the electronic device may be a computer, a server, or the like, and the electronic device is specifically any device, which is not limited by the present application, and may be set as needed.
In order to simulate the wading process of a real vehicle, a user can construct a whole vehicle model of the vehicle to be simulated according to the actual vehicle to be simulated, so that the wading simulation analysis method of the vehicle is realized.
Specifically, the electronic device may receive a complete vehicle model of a vehicle to be simulated in response to a user operation. The whole vehicle model comprises a vehicle chassis, a white vehicle body, an automobile opening and closing part, a vehicle thermal management system, an automatic driving external part, a power battery, a sealing strip and other parts.
By adopting the mode, the electronic equipment can determine the whole vehicle model of the vehicle to be simulated, so that wading simulation analysis of the whole vehicle model is realized, and the possible problems of the vehicle to be simulated in the real wading process are found.
S102: and extracting the geometric structure of the preset part of the vehicle to be simulated from the whole vehicle model.
In general, the surface of the model is meshed in engineering simulation by a finite element (Finite Element Analysis, FEA) method. Thus, in one or more embodiments of the application, the electronic device may also grid the whole vehicle model.
Specifically, the electronic device may extract the geometry of each preset component from the overall model according to the preset components that make up the vehicle to be simulated. The preset parts are a plurality of parts that compose the whole vehicle model in step S101.
By adopting the mode, the electronic equipment can extract the geometric structures of a plurality of preset parts from the whole vehicle model of the vehicle to be simulated so as to carry out grid division on the preset parts forming the whole vehicle model of the vehicle to be simulated, thereby carrying out grid division on the vehicle to be simulated.
S103: and carrying out surface grid division on the geometric structure to obtain a plurality of grid units.
In one or more embodiments of the present application, the electronic device may perform meshing after determining the geometry of the preset components that make up the complete vehicle model of the vehicle to be simulated.
Specifically, the electronic device may divide the surface of each preset part into a grid of preset side lengths. The shape of the grid can be triangle, quadrangle, hexagon, etc., and the grid is in any shape, so the application is not limited and can be set according to the requirement.
Because of a plurality of preset parts forming the whole vehicle model of the vehicle to be simulated, parts such as an engine lower guard plate and a chassis which are more likely to be impacted by water flow in a wading scene and damaged are also protected by other preset parts, such as a vehicle thermal management system and a power battery, and parts which are less likely to be impacted by water flow in the wading scene are also provided. The electronic equipment has limited calculation power, so as to improve the calculation efficiency while improving the simulation accuracy. The electronic device may determine a first preset side length and a second preset side length.
Thus, in one or more embodiments of the present application, the electronic device may determine the force-receiving member and the non-force-receiving member from among a number of preset members constituting the vehicle to be simulated in response to a third setting operation by a user. The stress component is a preset component with high possibility of being impacted by water flow in a wading scene, such as an engine lower guard plate and a chassis. The unstressed parts are preset parts with low possibility of being impacted by water flows in a wading scene, such as a vehicle thermal management system and a power battery.
And dividing the surface of the geometric structure of the stressed part into a plurality of grids with the side length being a first preset side length, and dividing the surface of the geometric structure of the unstressed part into a plurality of grids with the side length being a second preset side length. Wherein the first side length is smaller than the second side length. The first side may be 20 millimeters and the second side may be 40 millimeters.
By adopting the mode, the electronic equipment can divide the surface of the preset part of the whole vehicle model of the vehicle to be simulated into a plurality of grids, so that the electronic equipment can carry out simulation analysis on the whole vehicle model through an FEA method. And the electronic equipment can divide the stressed parts forming the whole vehicle model into grids with the side length being the first preset side length, and divide the non-stressed parts forming the whole vehicle model into grids with the side length being the second preset side length, so that the accuracy of simulation analysis on the whole vehicle model of the vehicle to be simulated is ensured, and meanwhile, the calculation efficiency is improved.
S104: and responding to a first setting operation of a user, determining a wading simulation scene of the vehicle to be simulated, wherein the wading simulation scene at least comprises a simulation physical field covering the wading pool.
In one or more embodiments of the present application, in order to implement wading simulation analysis of a whole vehicle model of the vehicle to be simulated, the electronic device may construct a wading simulation scene of the vehicle to be simulated.
Specifically, the electronic device may determine a size of the wading pool in response to a first setup operation of the user, and construct the wading pool according to the size. The vehicle to be simulated needs to move in the wading pool in the simulation process.
Because of the ponding exists on the road surface in a real scene, when the vehicle needs wading, the vehicle and the road surface are solid. Thus, in one or more embodiments of the present application, the electronic device may determine that the entire vehicle model and the surface of the wading pool are solid walls in response to the first setting operation of the user.
Then, in order to realize wading simulation of the whole vehicle model of the vehicle to be simulated, the electronic device can respond to the first setting operation of the user and determine a fluid source according to a preset fluid shape and a preset fluid side length. And determining the central point of the fluid source as a fluid position point, and determining the relative position of the fluid source and the wading pool based on the fluid position point and the wading pool. Such that the fluid source covers the wading pool.
As shown in fig. 2, fig. 2 is a schematic diagram of a relative position provided by the present application, in which the fluid source 202 completely covers the wading pool 201.
It should be noted that, to simulate real world situations, the upper surface of the fluid source may be flush with the horizontal plane. Alternatively, the upper surface of the fluid source may be below the horizontal plane.
In order to simulate the situation in the real world, the accuracy of wading simulation of the whole vehicle model of the vehicle to be simulated is improved, and the electronic device can respond to the first setting operation of the user to construct a simulation physical field, wherein the simulation physical field comprises a gravity field, a liquid physical field, a simulation physical field covering the wading pool and the like. Because the prior art already has the content of a physical field under a mature constructed simulation scene, the application is not repeated here.
By adopting the mode, the electronic equipment can construct the simulated wading scene of the vehicle to be simulated so as to complete the wading simulation of the vehicle to be simulated.
S105: and responding to a second setting operation of the user, and determining wading movement of the vehicle to be simulated in the wading simulation scene.
In one or more embodiments of the present application, in order to implement wading simulation of the whole vehicle model of the vehicle to be simulated, the electronic device may control the vehicle to be simulated to perform wading motion in the wading simulation scene.
Specifically, the electronic device may determine, in response to a second setting operation of the user, a relative position of the vehicle to be simulated and the wading pool, that is, determine that the vehicle to be simulated is located at one side of the wading pool, and a head of the vehicle to be simulated faces the other side of the wading pool. As shown in fig. 3, fig. 3 is a schematic diagram of a positional relationship provided by the present application. The whole vehicle model 301 is on one side of the wading pool 201, and the head of the whole vehicle model 301 faces the wading pool 201.
In practical situations, the tires of the vehicle can rotate in the wading process, so that the vehicle is driven to move. Thus, in one or more embodiments of the present application, the electronic device may define a head tire rotation and a tail tire rotation from the entire vehicle model of the vehicle to be simulated in response to the second setting operation of the user, and determine a first motion law of the head tire and a second motion law of the tail tire. And a local coordinate system is built by taking the head tire and the tail tire as centers respectively. And determining the head tire and the tail tire as tires, and determining the motion association relationship between the tires and the vehicle to be simulated. The first motion rule is the rotation rule of the head tire, and the second motion rule is the rotation rule of the tail tire.
Also, since in actual situations, automotive suspension systems are often present in vehicles to ensure that the vehicle can travel relatively smoothly over rough road sections. In the wading process, the roof of the vehicle tends to move vertically along with the running of the vehicle. Thus, in order to improve the similarity between the simulation process and the actual situation of the whole vehicle model of the vehicle to be simulated. In one or more embodiments of the present application, the electronic device may determine a suspension model of the vehicle to be simulated in response to a second setting operation of the user, and determine a motion association relationship of the tire and the suspension model. The suspension model is a vehicle suspension system in the vehicle to be simulated and a part above the vehicle suspension system in the vehicle to be simulated.
And finally, the electronic equipment can respond to the second setting operation of the user, and control the tire to rotate according to the motion rule, namely control the vehicle head tire to rotate according to the first motion rule, and control the vehicle tail tire to rotate according to the second motion rule. Thus, the vehicle to be simulated is controlled to horizontally move in the wading simulation scene, and the suspension model of the vehicle to be simulated is controlled to vertically move while horizontally moving.
By adopting the mode, the electronic equipment determines that the whole vehicle model of the vehicle to be simulated moves in the wading simulation scene. In one or more embodiments of the application, the electronic device can control the movement of the whole vehicle model of the vehicle to be simulated by controlling the rotation of the tire of the whole vehicle model of the vehicle to be simulated, thereby being more in line with the objective rule of the vehicle movement under actual conditions and improving the accuracy of wading simulation analysis of the whole vehicle model of the vehicle to be simulated.
S106: and according to the target solver, solving simulation state data of the grid cells when wading motion is carried out in the wading simulation scene.
In one or more embodiments of the present application, the electronic device may determine simulation state data through a target solver, thereby analyzing wading simulation of the complete vehicle model of the vehicle to be simulated.
Specifically, the electronic device may determine, by using a preset target solver, each grid on a surface of a preset component of the whole model of the vehicle to be simulated as a unit, interactions between the whole model of the vehicle to be simulated and the liquid in the wading simulation scene during the wading motion of the whole model of the vehicle to be simulated in the wading simulation scene. The liquid is the fluid of the fluid source. And determining simulation state data of the whole vehicle model in the wading movement process. The prior art already has a mature technical content of determining the simulation state data through the target solver, so that the description is not repeated in the present application.
Of course, the user can set the particle diameter of the target solver, as is typically the case. The electronic device may then determine, in response to the user's operation, that the target solver includes a base solver and an accurate solver. And determining a first solver, which may be a rain solver (Preonsolver), as a base solver. The second solver, which may be a local refinement solver (creat refined solver), is determined to be a refinement solver. The electronic device may determine, in response to the user operation, that the particle diameter of the first solver is smaller than a first preset value, where the first preset value may be 10mm, 20mm, 30mm, 40mm, 50mm, 60mm, and the like, and the first preset value may be specifically set according to needs. Similarly, the electronic device may determine, in response to the user operation, that the particle diameter of the second solver is smaller than a second preset value, which may be 10mm, 20mm, 30mm, 40mm, 50mm, 60mm, etc., and the second preset value may be specifically set as required, and the present application is not limited herein. In one or more embodiments of the application, the first preset value is 40mm and the second preset value is 20mm.
By adopting the mode, the electronic equipment can realize wading simulation of the whole vehicle model of the vehicle to be simulated through the target solver, and determine simulation state data of the whole vehicle model.
S107: and outputting the simulation state data.
In one or more embodiments of the present application, after finishing wading simulation of the whole vehicle model of the vehicle to be simulated, the electronic device may output simulation state data, so that the user determines that a problem exists in the whole vehicle model of the vehicle to be simulated in a wading scene.
Specifically, in one or more embodiments of the present application, in order to facilitate the user to determine whether the critical components such as an engine, a power battery, etc. have phenomena such as water seepage and water immersion in the motion process of the entire vehicle model in the wading simulation scene, the electronic device may output image data of the entire vehicle model in the simulation process, where the image data includes picture data, video data, etc.
In order to facilitate the user to determine the water immersion condition of the parts such as the vehicle door, the engine guard plate and the like of the whole vehicle model in the motion process of the wading simulation scene, the user can determine wading area data of preset parts forming the whole vehicle model, wherein the wading area data comprises wading area, the proportion of the wading area to the total area and the like.
In order to facilitate the user to determine the water inflow condition of a part of positions of the whole vehicle model in the motion process of the wading simulation scene, the electronic equipment can respond to the operation of the user and determine the accumulated water inflow of a preset inlet and outlet through a sensor plane, wherein the inlet and outlet comprises an engine air inlet pipe port, an air conditioner air inlet port and the like.
In order to facilitate the user to determine the stress condition of fragile preset parts such as an engine protection plate, a car lamp and the like of the whole car model in the motion process of the wading simulation scene, the electronic equipment can determine stress data of the preset parts of the whole car model in the simulation process based on a pressure sensor (ForceSensor), wherein the stress data comprises a stress curve, a stress maximum value and the like.
In one or more embodiments of the present application, the electronic device may output image data of motion of the whole vehicle model of the vehicle to be simulated in the wading simulation scene, wading area data of a preset component, etc., so as to facilitate the user to determine a problem that occurs when the whole vehicle model of the vehicle to be simulated moves in the wading simulation scene.
According to the embodiment, the electronic device can construct the whole vehicle model of the vehicle to be simulated, and extract the geometric structure of the preset part of the vehicle to be simulated from the whole vehicle model, so that the geometric structure is subjected to surface mesh division, and a plurality of mesh units are obtained. And determining a wading simulation scene of the vehicle to be simulated in response to a first setting operation of a user, and determining wading movement of the vehicle to be simulated in the wading simulation scene in response to a second setting operation of the user. And finally, according to the target solver, solving simulation state data of the grid cells when wading motion is carried out in the wading simulation scene, and outputting the simulation state data. In the above embodiment, the electronic device may output simulation state data of the vehicle to be simulated in a wading simulation scene including a simulation physical field covering a wading pool, where the simulation state data is obtained by solving, by a target solver, a motion of the vehicle to be simulated in the wading simulation scene, and the vehicle to be simulated and the wading simulation scene are created by a user, and the vehicle to be simulated is a whole vehicle model including parts such as a body in white, an opening and closing member, and an engine. Therefore, the simulation state data of the vehicle to be simulated under the wading simulation scene including the simulation physical field covering the wading pool, which is output by the electronic equipment, can enable a user to find problems of all parts of the actual vehicle corresponding to the vehicle to be simulated in the wading simulation flow of the vehicle under the wading scene when the vehicle is not produced, and saves cost.
In addition, in one or more embodiments of the present application, in order to improve simulation efficiency, improve calculation efficiency, and reduce calculation cost, before step S106, the electronic device may determine a solution limit field in the wading simulation scene, and only solve a simulation procedure in the solution limit field when step S106 is performed.
Specifically, the electronic device may determine a position of the wading pool and a wading pool size in the simulated wading scene in response to a fourth setting operation of the user. And constructing a solving limit domain covering the wading pool. And then solving simulation data of the whole vehicle model of the vehicle to be simulated in the wading simulation scene according to the target solver.
Further, in order to improve the simulation efficiency, improve the calculation efficiency and reduce the calculation cost, the electronic device may respond to the fifth setting operation of the user, determine the tail end position of the vehicle to be simulated according to the movement speed of the whole vehicle model of the vehicle to be simulated, and construct the solving restriction domain according to the real-time tail end position, the wading pool position and the wading pool size in the simulation process. And then solving simulation data of the whole vehicle model of the vehicle to be simulated in the wading simulation scene according to the target solver.
As shown in fig. 4, fig. 4 is a schematic diagram of a solution constraint domain provided by the present application. The change of the solution restriction domain 401 is shown in the whole vehicle model 301 when the front, middle and rear ends of the wading pool 201 run.
Still further, in order to improve the simulation efficiency, improve the calculation efficiency, and reduce the calculation cost, the electronic device may respond to the sixth setting operation of the user, and construct a solution restriction domain according to the movement speed of the whole vehicle model of the vehicle to be simulated and the size information of the whole vehicle model. And then solving simulation data of the whole vehicle model of the vehicle to be simulated in the wading simulation scene according to the target solver.
As shown in fig. 5, fig. 5 is a schematic diagram of another solution constraint domain provided by the present application. The change of the solution restriction domain 501 is shown in the whole vehicle model 301 when the front, middle and rear ends of the wading pool 201 run.
By adopting the mode, the electronic equipment can construct a solving limit domain, and determine the simulation data in the solving limit domain in the wading simulation process of the whole vehicle model of the vehicle to be simulated by the target solver, so that the simulation efficiency is improved, the calculation efficiency is improved, and the calculation cost is reduced.
In addition, in one or more embodiments of the present application, in order to more accurately determine the simulation state data, the electronic device may determine that a simulation steady state is reached in response to the operation of the user during the execution of step S106, and collect the simulation data after the simulation steady state is reached, and use the simulation data as the simulation state data. The stable state of the simulation may be a state when the residual error output by the solver is within a maximum step period and the fluctuation amount is smaller than a preset step fluctuation value.
In addition, in one or more embodiments of the present application, after step S107, the electronic device may receive a simulation success instruction determined by the user by comparing the simulation state data with real simulation data. The real simulation data are data collected by the real vehicle after simulation wading experiments are carried out.
Based on the vehicle wading simulation analysis method provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the vehicle wading simulation analysis device. Please refer to the following examples.
Referring first to fig. 6, the vehicle wading simulation analysis device provided by the embodiment of the application includes the following units:
The construction unit 601 is configured to construct a whole vehicle model of a vehicle to be simulated;
an extracting unit 602, configured to extract a geometry of a preset part of the vehicle to be simulated from the whole vehicle model;
a dividing unit 603, configured to perform surface mesh division on the geometric structure, to obtain a plurality of mesh units;
a determining unit 604, configured to determine a wading simulation scene of the vehicle to be simulated in response to a first setting operation of a user, where the wading simulation scene includes at least a simulation physical field covering the wading pool;
a movement unit 605 for determining wading movement of the vehicle to be simulated in the wading simulation scene in response to a second setting operation of the user;
a solving unit 606, configured to solve, according to a target solver, simulation state data of the plurality of grid units when performing wading motions in the wading simulation scene;
an output unit 607 for outputting the simulation state data.
According to the above embodiment, the output unit 607 may output the simulation state data of the vehicle to be simulated in the wading simulation scene including the simulation physical field covering the wading pool, the simulation state data being obtained by the solving unit 606 solving the motion of the vehicle to be simulated in the wading simulation scene by the target solver, and the vehicle to be simulated and the wading simulation scene being created by the determining unit 603 and the constructing unit 601, and the vehicle to be simulated being a whole vehicle model including parts such as a white body, an opening-closing member, an engine, and the like. Therefore, the simulation state data of the vehicle to be simulated under the wading simulation scene including the simulation physical field covering the wading pool, which is output by the electronic equipment, can enable a user to find problems of all parts of the actual vehicle corresponding to the vehicle to be simulated in the wading simulation flow of the vehicle under the wading scene when the vehicle is not produced, and saves cost.
Optionally, the determining unit 604 is specifically configured to determine a size of the wading pool in response to a first setting operation of a user, construct the wading pool, determine that a surface of the whole vehicle model and a surface of the wading pool are solid walls, determine a fluid source, determine a relative position of the fluid source and the wading pool, and construct a simulated physical field covering the wading pool.
Optionally, the determining unit 604 is specifically configured to construct a simulated physical field, where the simulated physical field includes at least a gravity field, a liquid physical field, and a solid physical field, and the simulated physical field covers at least the wading pool.
Optionally, the dividing unit 603 is specifically configured to determine, in response to a third setting operation of a user, a force-bearing component and a non-force-bearing component from preset components of the vehicle to be simulated, perform surface meshing on a geometry of the force-bearing component to obtain a plurality of grid units, and perform surface meshing on the geometry of the non-force-bearing component to obtain a plurality of grid units, where a size of the grid unit of the force-bearing component is smaller than a size of the grid unit of the non-force-bearing component.
Optionally, the solving unit 606 is specifically configured to determine, by using each grid unit of the geometry of the whole vehicle model as a unit, interaction between the whole vehicle model and the liquid in the wading simulation scene during the wading motion process of the whole vehicle model by using the target solver, and obtain simulation state data of the whole vehicle model during the wading motion process.
Optionally, the motion unit 605 is specifically configured to determine a motion rule of a tire of the vehicle to be simulated in response to the second setting operation of the user, determine a motion association relationship between the tire and the vehicle to be simulated, determine a suspension model of the vehicle to be simulated, determine a motion association relationship between the tire and the suspension model, control the tire to rotate according to the motion rule, thereby controlling the vehicle to be simulated to horizontally move in the wading simulation scene, and control the suspension model in the vehicle to be simulated to vertically move while horizontally moving.
Optionally, the output unit 607 specifically includes image data of the motion of the vehicle to be simulated in the wading simulation scene, wading area data of a preset part of the vehicle to be simulated, and accumulated water inflow of an inlet and an outlet preset by the vehicle to be simulated, where the inlet and the outlet at least include an engine air inlet pipe port and an air conditioner air inlet port, and stress data of the preset part of the vehicle to be simulated.
Optionally, the solving unit 606 is specifically configured to determine a position and a size of a wading pool in the wading simulation scene, construct a solving limit domain covering the wading pool according to the position and the size of the wading pool, and solve, according to a target solver, simulation state data in the solving limit domain when the plurality of grid units perform wading motion in the wading simulation scene.
Optionally, the solving unit 606 is specifically configured to, in response to a user operation, use a first solver as a base solver, determine that a particle diameter of the first solver is smaller than a first preset value, where the first preset value is 40 mm, and in response to a user operation, use a second solver as an accurate solver, determine that a particle diameter of the second solver is smaller than a second preset value, where the first preset value is 20 mm.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In one embodiment of the present application, a storage medium is provided, on which a computer program is stored, which when executed by a processor implements the vehicle wading simulation analysis method provided in one embodiment of the present application.
It is to be understood that the above-described embodiments of the present application are merely illustrative of or explanation of the principles of the present application and are in no way limiting of the application. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present application should be included in the scope of the present application. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.
Fig. 7 shows a schematic hardware structure of a vehicle wading simulation analysis device according to an embodiment of the present application.
The vehicle wading simulation analysis device may comprise a processor 701 and a memory 702 storing computer program instructions.
In particular, the processor 701 may comprise a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits implementing embodiments of the present application.
Memory 702 may include mass storage for data or instructions. By way of example, and not limitation, memory 702 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. The memory 702 may include removable or non-removable (or fixed) media, where appropriate. Memory 702 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 702 is a non-volatile solid state memory.
In particular embodiments, memory 702 may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to methods in accordance with aspects of the present disclosure.
The processor 701 implements any of the vehicle wading simulation analysis methods of the above embodiments by reading and executing computer program instructions stored in the memory 702.
In one example, the vehicle wading simulation analysis device may further comprise a communication interface 703 and a bus 710. As shown in fig. 7, the processor 701, the memory 702, and the communication interface 703 are connected by a bus 710 and perform communication with each other.
The communication interface 703 is mainly used for implementing communication between each module, device, unit and/or apparatus in the embodiment of the present application.
Bus 710 includes hardware, software, or both that couple components of the vehicle wading simulation analysis device to each other. By way of example, and not limitation, the buses may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 710 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.
The vehicle wading simulation analysis equipment can execute the vehicle wading simulation analysis method based on the currently intercepted junk short messages and the short messages reported by the user, thereby realizing the vehicle wading simulation analysis method and the device described in connection with fig. 1 and 6.
In addition, in combination with the vehicle wading simulation analysis method in the above embodiment, the embodiment of the application can be implemented by providing a computer storage medium. The computer storage medium has stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the vehicle wading simulation analysis methods of the above embodiments.
It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.

Claims (13)

1. A vehicle wading simulation analysis method, comprising:
constructing a whole vehicle model of a vehicle to be simulated;
extracting the geometric structure of a preset part of the vehicle to be simulated from the whole vehicle model;
performing surface grid division on the geometric structure to obtain a plurality of grid cells;
responding to a first setting operation of a user, determining a wading simulation scene of the vehicle to be simulated, wherein the wading simulation scene at least comprises a simulation physical field covering the wading pool;
determining wading motions of the vehicle to be simulated in the wading simulation scene in response to a second setting operation of the user;
according to a target solver, solving simulation state data of the grid cells when wading in the wading simulation scene;
and outputting the simulation state data.
2. The method according to claim 1, wherein responsive to a first setup operation by a user, determining a wading simulation scenario of the vehicle to be simulated, the wading simulation scenario comprising at least a simulated physical field covering the wading pool, in particular comprising:
responding to a first setting operation of a user, determining the size of the wading pool, and constructing the wading pool;
Determining that the surface of the whole vehicle model and the wading pool is a solid wall surface;
determining a fluid source and determining a relative position of the fluid source and the wading pool;
and constructing a simulation physical field covering the wading pool.
3. The method according to claim 2, characterized in that constructing a simulated physical field covering the wading pool, in particular comprises:
constructing a simulation physical field, wherein the simulation physical field at least comprises a gravity field, a liquid physical field and a solid physical field;
the simulated physical field at least covers the wading pool.
4. The method according to claim 1, wherein the surface meshing of the geometric structure results in a plurality of mesh units, comprising in particular:
responding to a third setting operation of a user, and determining a stressed part and a non-stressed part from preset parts of the vehicle to be simulated;
performing surface grid division on the geometric structure of the stressed component to obtain a plurality of grid units;
and carrying out surface meshing on the geometric structure of the non-stressed part to obtain a plurality of grid cells, wherein the size of the grid cells of the stressed part is smaller than that of the grid cells of the non-stressed part.
5. The method according to claim 1, wherein solving simulation state data of the plurality of grid cells when performing wading motion in the wading simulation scene according to a target solver, specifically comprises:
and determining interaction between the whole vehicle model and liquid in the wading simulation scene in the wading motion process of the whole vehicle model in the wading simulation scene by using each grid unit of the geometric structure of the whole vehicle model as a unit through a target solver, and acquiring simulation state data of the whole vehicle model in the wading motion process.
6. The method according to claim 1, wherein determining wading movement of the vehicle to be simulated in the wading simulation scenario in response to a second setup operation of the user, in particular comprises:
determining a motion law of a tire of the vehicle to be simulated in response to a second setting operation of the user;
determining a motion association relationship between the tire and the vehicle to be simulated;
determining a suspension model of the vehicle to be simulated, and determining a motion association relationship between the tire and the suspension model;
and controlling the tire to rotate according to the motion law, so as to control the vehicle to be simulated to horizontally move in the wading simulation scene and control the suspension model in the vehicle to be simulated to vertically move while horizontally moving.
7. The method of claim 1, wherein outputting the simulation state data comprises at least one of:
image data of the vehicle to be simulated moving in the wading simulation scene;
the wading area data of the preset part of the vehicle to be simulated;
the method comprises the steps that accumulated water inflow of an inlet and an outlet preset by a vehicle to be simulated at least comprises an engine air inlet pipe port and an air conditioner air inlet port;
and stress data of a preset part of the vehicle to be simulated.
8. The method according to claim 1, wherein solving simulation state data of the plurality of grid cells when performing wading motion in the wading simulation scene according to a target solver, specifically comprises:
determining the position and the size of a wading pool in the wading simulation scene;
constructing a solving limit domain covering the wading pool according to the position and the size of the wading pool;
and according to a target solver, solving simulation state data in the solving limiting domain when the grid cells perform wading motion in the wading simulation scene.
9. The method of any of claims 1-8, wherein prior to solving simulation state data of the plurality of grid cells while performing wading motion in the wading simulation scenario according to a target solver, the method further comprises:
Responding to the operation of a user, and taking the first solver as a basic solver;
determining that the particle diameter of the first solver is smaller than a first preset value, wherein the first preset value is 40 millimeters;
responding to the operation of a user, and taking the second solver as an accurate solver;
and determining that the particle diameter of the second solver is smaller than a second preset value, wherein the first preset value is 20 mm.
10. A vehicle wading simulation analysis device, comprising:
the construction unit is used for constructing a whole vehicle model of the vehicle to be simulated;
the extraction unit is used for extracting the geometric structure of the preset part of the vehicle to be simulated from the whole vehicle model;
the dividing unit is used for carrying out surface grid division on the geometric structure to obtain a plurality of grid units;
the determining unit is used for responding to a first setting operation of a user and determining a wading simulation scene of the vehicle to be simulated, wherein the wading simulation scene at least comprises a simulation physical field covering the wading pool;
the motion unit is used for responding to the second setting operation of the user and determining wading motion of the vehicle to be simulated in the wading simulation scene;
the solving unit is used for solving simulation state data of the grid units when wading motion is performed in the wading simulation scene according to the target solver;
And the output unit is used for outputting the simulation state data.
11. A vehicle wading simulation analysis device, the device comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the vehicle wading simulation analysis method according to any one of claims 1-9.
12. A storage medium having stored thereon computer program instructions which, when executed by a processor, implement the vehicle wading simulation analysis method of any one of claims 1-9.
13. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the vehicle wading simulation analysis method according to any one of claims 1-9.
CN202211646165.7A 2022-12-21 2022-12-21 Vehicle wading simulation analysis method and device, electronic equipment and storage medium Pending CN116595624A (en)

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CN202211646165.7A CN116595624A (en) 2022-12-21 2022-12-21 Vehicle wading simulation analysis method and device, electronic equipment and storage medium

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