CN117094079A - Automobile model generation method and device, electronic equipment and storage medium - Google Patents
Automobile model generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of automobiles, in particular to a method and a device for generating an automobile model, electronic equipment and a storage medium, wherein the method comprises the following steps: constructing geometric modeling of the automobile model in different plane dimensions and geometric modeling of the tire; designing geometrical appearance characteristic variables for geometrical shapes of different plane dimensions of the automobile model and geometrical shapes of tires respectively, and generating a model and the automobile model in a correlation way; the method comprises the steps of obtaining a value range of a geometric shape characteristic variable of an automobile model, inputting the value range into a generating model, and generating one or more automobile models of corresponding types according to the value range of the geometric shape characteristic variable by the generating model. Therefore, the problems that the parameterized automobile standard model in the related technology is a simplified scaling model, the appearance characteristic parameters only have single digits and respectively represent a certain single automobile model, the training database of the model is limited in scale, the geometric variables are few, the practical function is difficult to play in engineering design and the like are solved.
Description
Technical Field
The present application relates to the field of automotive technologies, and in particular, to a method and apparatus for generating an automobile model, an electronic device, and a storage medium.
Background
In order to reduce the energy consumption, automobiles can only rely on reducing air resistance in the daily driving process.
The air resistance is mainly obtained through wind tunnel experiments and downslide experiments, but because the experiment cost is high, the air resistance is usually obtained by adopting a numerical simulation method, and therefore, three-dimensional full-size automobile models with different geometric shapes need to be built. However, the automobile model is only a simplified scaling model, and has few characteristic parameters, so that the training database of the automobile wind resistance prediction model is very limited in scale, and the actual effect in engineering design is difficult to play.
Disclosure of Invention
The application provides a method, a device, electronic equipment and a storage medium for generating an automobile model, which are used for solving the problems that a parameterized automobile standard model in the related technology is a simplified scaling model, appearance characteristic parameters only have single digits and respectively only represent a certain single automobile model, so that a training database of the model is limited in scale, geometric variables are few, practical functions are difficult to play in engineering design and the like.
An embodiment of a first aspect of the present application provides a method for generating an automobile model, including the steps of: constructing geometric modeling of the automobile model in different plane dimensions and geometric modeling of the tire; designing geometrical appearance characteristic variables for geometrical shapes of different plane dimensions of an automobile model and geometrical shapes of tires respectively, and correlating to generate the model and the automobile model; and acquiring a value range of the geometric outline characteristic variable of the automobile model, inputting the value range into the generating model, and generating one or more automobile models of corresponding types by the generating model according to the value range of the geometric outline characteristic variable.
Optionally, the geometric profile feature variable includes a geometric profile feature variable of a longitudinal section of the automobile, a geometric profile feature variable of a cross section, a geometric profile feature variable of a flat section, and a geometric profile feature variable of a tire.
Optionally, the geometric profile characteristic variable of the longitudinal section includes at least one of: the vehicle tail angle, the vehicle tail height, the vehicle tail lower part fillet radius, the vehicle tail upper part fillet radius, the cabin height, the cabin length, the cabin and tail window radius, the cabin and front gear radius, the chassis tail diffuser length, the chassis tail diffuser angle, the chassis front part downtilt plate length, the chassis front part downtilt plate angle, the vehicle cabin cover inclination angle, the vehicle cabin cover length, the vehicle cabin cover and front gear included angle, the vehicle cabin cover and front gear fillet radius, the vehicle head inclination angle, the vehicle head height, the vehicle head lower part fillet radius, the vehicle head upper part fillet radius, the vehicle tail window and trunk included angle, the vehicle tail window and trunk fillet radius, the trunk and chassis included angle and the trunk length.
Optionally, the geometric profile characteristic variable of the cross section comprises at least one of: vehicle width, side window inclination angle, side window upper portion fillet radius, vehicle body inclination angle, vehicle body and side window fillet radius.
Optionally, the geometric profile characteristic variable of the planar cut surface includes at least one of: trunk tail fillet radius, locomotive both sides fillet radius.
Optionally, the geometric profile characteristic variable of the tire comprises at least one of: the inward shrinking distance of the tire to the vehicle body, the vertical distance between the center of the tire and the reference point of the vehicle body, the diameter of the rim, the flat ratio of the tire section and the width of the tire.
Optionally, the generated model is a CAD model.
An embodiment of a second aspect of the present application provides an apparatus for generating an automobile model, including: the building module is used for building geometric modeling of the automobile model in different plane dimensions and geometric modeling of the tire; the design module is used for respectively designing geometric shape characteristic variables for geometric shapes of different plane dimensions of the automobile model and geometric shapes of tires, and correlating to generate the model and the automobile model; the generation module is used for acquiring the value range of the geometric shape characteristic variable of the automobile model, inputting the value range into the generation model, and generating one or more automobile models of corresponding types according to the value range of the geometric shape characteristic variable by the generation model.
An embodiment of a third aspect of the present application provides an electronic device, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the method for generating the automobile model according to the embodiment.
An embodiment of a fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program that is executed by a processor for implementing the method of generating an automobile model as described in the above embodiment.
Therefore, the application has at least the following beneficial effects:
the embodiment of the application can construct geometric modeling of different dimensions and geometric modeling of tires, design and acquire the value range of the geometric shape characteristic variable, so as to generate corresponding types of automobile models, and realize automatic batch generation of the automobile models of different vehicle types and different geometric shapes; in order to provide a sufficient quantity of training databases for the wind resistance rapid prediction model, the embodiment of the application can generate corresponding visual automobile three-dimensional models in real time according to the input characteristic variable values, and can also preset value ranges according to different characteristic parameters to generate different types of automobile models, including trucks, cars or SUVs. Therefore, the technical problems that the parameterized automobile standard model in the related technology is a simplified scaling model, the appearance characteristic parameters only have single digits and can only respectively represent a certain single automobile model, the training database of the model is limited in scale, the geometric variables are few, the practical function in engineering design is difficult to play and the like are solved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flowchart of a method for generating an automobile model according to an embodiment of the present application;
FIG. 2 is a longitudinal section (x-y plane) of an automobile model provided according to an embodiment of the present application;
FIG. 3 is a cross-section (y-z plane) of an automobile model provided in accordance with an embodiment of the present application;
FIG. 4 is a plan view (x-z cross section) of an automobile model provided according to an embodiment of the present application;
FIG. 5 is a schematic view of a tire of an automobile model provided in accordance with an embodiment of the present application;
FIG. 6 is a schematic diagram of a vehicle model for generating an SUV based on a vehicle model according to an embodiment of the application;
fig. 7 is a schematic architecture diagram of a whole vehicle model generating device based on a vehicle model according to an embodiment of the present application;
FIG. 8 is a human-computer interaction interface of a whole vehicle model generating device based on a vehicle model according to an embodiment of the application;
fig. 9 is an exemplary diagram of an apparatus for generating an automobile model according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The rapid prediction of the wind resistance of the automobile based on artificial intelligence (Artificial Intelligence, AI for short) is a research hotspot in the automobile field. However, because of the high cost of wind tunnel experiments, the training database of the AI windage prediction model is usually obtained by adopting a numerical simulation method. The primary step of obtaining the wind resistance coefficient of the automobile through numerical simulation is to build three-dimensional full-size automobile models with different geometric shapes. However, the parameterized automobile standard models currently used for academic research (e.g., the Ahmed model of the German aerospace center, the MIRA model of the United kingdom) are all very simplified scaling models, which contain only single digits of the appearance characteristic parameters and are each representative of only a single vehicle model (truck, sedan or SUV). The size of the training database of the existing automobile wind resistance AI prediction model is limited, the included geometric variables are few, and the actual effect in engineering design is difficult to play. Therefore, in order to realize automatic batch generation of the whole automobile models of different automobile types and different geometric shapes, a sufficient quantity of training databases are provided for the AI model for rapidly predicting the wind resistance, and an automobile model and a generating device for establishing the automobile wind resistance database are applied.
The following describes a method, an apparatus, an electronic device, and a storage medium for generating an automobile model according to an embodiment of the present application with reference to the accompanying drawings. Aiming at the problems that the size of a training database of an automobile wind resistance prediction model is very limited and practical functions are difficult to play due to the fact that characteristic parameters are few in the automobile standard model in the background art, the application provides a generation method of an automobile model, in the method, geometric modeling of different dimensions and geometric modeling of tires can be constructed, and the range of values of characteristic variables of geometric shapes is designed and obtained, so that corresponding types of automobile models are generated, and automatic batch generation of the automobile models of different automobile types and different geometric shapes is realized. Therefore, the problems that the parameterized automobile standard model in the related technology is a simplified scaling model, the appearance characteristic parameters only have single digits and respectively represent a certain single automobile model, the training database of the model is limited in scale, the geometric variables are few, the practical function is difficult to play in engineering design and the like are solved.
Specifically, fig. 1 is a schematic flow chart of a method for generating an automobile model according to an embodiment of the present application.
As shown in fig. 1, the method for generating the automobile model includes the following steps:
in step S101, a geometric model of the automobile model and a geometric model of the tire in different planar dimensions are constructed.
The different plane dimensions may include a longitudinal section, a cross section, and a planar section of the automobile, wherein the longitudinal section of the automobile is an x-y plane, the cross section is a y-z plane, and the planar section is an x-z section.
It can be appreciated that the embodiments of the present application can build three-dimensional full-size automobile models of different geometric shapes to analyze the aerodynamic performance of the vehicle.
In step S102, geometric feature variables are respectively designed for geometric shapes of different planar dimensions of the automobile model and geometric shapes of the tire, and the model and the automobile model are generated in a correlated manner.
The geometric profile characteristic variable comprises the geometric profile characteristic variable of a longitudinal section of the automobile, the geometric profile characteristic variable of a cross section, the geometric profile characteristic variable of a plane section and the geometric profile characteristic variable of a tire.
It can be understood that the embodiment of the application can design the geometric feature variables, generate models and automobile models, and generate different types of automobile models according to the feature variables of different geometric shapes, wherein the different types of automobile models can comprise trucks, cars or SUVs, so that the automobile models comprise multiple types, and the size of an automobile model training database is enlarged.
Specifically, the embodiment of the application can specifically describe the geometric shape characteristic variable, taking reasonably setting 36 geometric characteristic parameter values as an example, wherein the 36 geometric characteristic parameter values include 24 characteristic values in a longitudinal section (x-y plane), 5 characteristic values in a cross section (y-z plane), 2 characteristic values in a flat tangential plane (x-z plane) and 5 characteristic values related to the tire, and the specific description is as follows:
(1) The geometric profile characteristic variable of the longitudinal section comprises at least one of the following: the vehicle tail angle, the vehicle tail height, the vehicle tail lower part fillet radius, the vehicle tail upper part fillet radius, the cabin height, the cabin length, the cabin and tail window radius, the cabin and front gear radius, the chassis tail diffuser length, the chassis tail diffuser angle, the chassis front part downtilt plate length, the chassis front part downtilt plate angle, the vehicle cabin cover inclination angle, the vehicle cabin cover length, the vehicle cabin cover and front gear included angle, the vehicle cabin cover and front gear fillet radius, the vehicle head inclination angle, the vehicle head height, the vehicle head lower part fillet radius, the vehicle head upper part fillet radius, the vehicle tail window and trunk included angle, the vehicle tail window and trunk fillet radius, the trunk and chassis included angle and the trunk length.
Specifically, the longitudinal section (x-y plane) defines 24 geometric profile feature variables, as shown in fig. 2: the inclination angle B-D-A of the vehicle tail is 80.0, the height B-M-H of the vehicle tail is 0.85, the radius B-D-R of the rounded corner of the lower part of the vehicle tail is 0.1, and the radius B-U-R of the rounded corner of the upper part of the vehicle tail is 0.1; cabin height C-M-H is 0.6, cabin length C-M-L is 0.6, cabin and tail window radius C-R-R is 1.4, cabin and front gear radius G-C-R is 1.0; the chassis tail diffuser length D-B-L is 0.8, the chassis tail diffuser angle D-B-A is 6.0, the chassis front declination plate length D-F-L is 0.4, and the chassis front declination plate angle D-F-A is 8.0; ext> theext> inclinationext> angleext> Eext> -ext> Dext> -ext> Aext> ofext> theext> hairext> hatchext> coverext> isext> 8.0ext>,ext> theext> lengthext> Eext> -ext> Mext> -ext> Lext> ofext> theext> hairext> hatchext> coverext> isext> 1.2ext>,ext> theext> includedext> angleext> Eext> -ext> Gext> -ext> Aext> ofext> theext> hairext> hatchext> coverext> andext> theext> frontext> baffleext> isext> 23.0ext>,ext> andext> theext> radiusext> Eext> -ext> Gext> -ext> Rext> ofext> theext> roundedext> cornersext> ofext> theext> hairext> hatchext> coverext> andext> theext> frontext> baffleext> isext> 0.05ext>;ext> The inclination angle H-D-A of the headstock is 75.0, the height H-M-H of the headstock is 0.65, the radius H-D-R of the lower part of the headstock is 0.05, and the radius H-U-R of the upper part of the headstock is 0.3; the included angle R-T-A between the tail window and the trunk is 25.0, the fillet radius R-T-R between the tail window and the trunk is 0.15, the included angle T-D-A between the trunk and the chassis is 5.0 and the length T-M-L of the trunk is 0.7.
(2) The geometric profile characteristic variable of the cross section includes at least one of: vehicle width, side window inclination angle, side window upper portion fillet radius, vehicle body inclination angle, vehicle body and side window fillet radius.
Specifically, the cross-section (y-z plane) defines 5 geometric profile feature variables, as shown in FIG. 3: car Width Car-Width is 0.9, side window inclination angle Side-C-A is 20.0, side window upper portion fillet radius Side-C-R is 0.1, car body inclination angle Side-E+T-A is 2.0, car body and Side window fillet radius Side-E+T-U-R is 0.3.
(3) The geometric profile characteristic variable of the planar cut surface comprises at least one of: trunk tail fillet radius, locomotive both sides fillet radius.
Specifically, the flat cut surface (x-z cross section) defines 2 geometric profile feature variables, as shown in FIG. 4: the tail fillet radius Side-B-R of the trunk is 5.0, and the fillet radii Side-H-R of the two sides of the head are 0.7.
(4) The geometric profile characteristic variables of the tire include at least one of: the inward shrinking distance of the tire to the vehicle body, the vertical distance between the center of the tire and the reference point of the vehicle body, the diameter of the rim, the flat ratio of the tire section and the width of the tire.
Specifically, the geometric feature variables associated with the tire total 5, as shown in fig. 5: the Tire inward-shrinking distance Tire-Inner-Depth is 0.02, the vertical distance Tire-O-Axis-O-H between the center of the Tire and the reference point of the vehicle body is 0.25, the Rim Diameter Tire-of-Rim-Diameter is 0.6, the Tire section flattening ratio (%) Tire-Thickness/Width is 45%, and the Tire Width Tire-Width is 0.235.
In step S103, a range of values of geometric feature variables of the automobile model is obtained, the range of values is input into the generation model, and the generation model generates one or more automobile models of corresponding types according to the range of values of geometric feature variables.
It can be understood that the embodiment of the application can generate different types of automobile models by changing the value ranges of the geometric characteristic parameters, realize automatic batch generation of the whole automobile models of different automobile types and different geometric shapes, and preset the value ranges according to the different characteristic parameters, wherein the value ranges are mainly limited by the rationality preset in the geometric model generation model, thereby improving the accuracy of the generated automobile model.
It should be noted that, the range of the geometric feature variable may be up and down with an amplitude of 0.2, for example: when the geometric profile characteristic variable in the longitudinal section is the cabin height, the cabin height may be 0.6, and the value range of the cabin height is [0.4,0.8], or the like.
Specifically, the embodiment of the application can generate different types of automobile models by changing the value range of the geometric characteristic parameters, wherein the different types of automobile models comprise trucks, cars or SUVs. Wherein, a schematic diagram of the SUV whole vehicle model is generated based on the vehicle model, as shown in fig. 6. Because the embodiment of the present application is herein for the purpose of defining the function of generating different types of automobile models, specific parameter settings will not be described in detail.
In the embodiment of the application, the generated model is a CAD model.
Specifically, the embodiment of the application establishes a corresponding automatic whole vehicle model generating device based on the definition of the 36 geometric shape characteristic parameters, and the whole architecture is shown in fig. 7: the method comprises a parameter value input module, a visual window module and a 3D-CAD model output module, and finally realizes the real-time generation of a corresponding visual automobile three-dimensional model according to the input characteristic parameter value, and simultaneously derives an editable 3D-CAD model.
As shown in fig. 8, the man-machine interaction interface of the device is automatically generated based on the whole vehicle model. Wherein, the area 1 represents a list of 36 geometric shape characteristic parameters, and after clicking any parameter, a specific value can be input in the attribute dialog box below; the region 2 can preview the whole vehicle model schematic diagram generated under the current parameter value combination in real time.
According to the method for generating the automobile model, which is provided by the embodiment of the application, the geometric modeling of different dimensions and the geometric modeling of the tire can be constructed, the range of the values of the geometric shape characteristic variables is designed and obtained, the corresponding type of automobile model is generated, and the automatic batch generation of the automobile models of different automobile types and different geometric shapes is realized. Therefore, the problems that the parameterized automobile standard model in the related technology is a simplified scaling model, the appearance characteristic parameters only have single digits and respectively represent a certain single automobile model, the training database of the model is limited in scale, the geometric variables are few, the practical function is difficult to play in engineering design and the like are solved.
Next, a device for generating an automobile model according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 9 is a block schematic diagram of an apparatus for generating an automobile model according to an embodiment of the present application.
As shown in fig. 9, the apparatus 10 for generating an automobile model includes: build module 100, design module 200, and generate module 300.
Wherein, the construction module 100 is used for constructing geometric modeling of the automobile model and geometric modeling of the tire in different plane dimensions; the design module 200 is used for respectively designing geometric shape feature variables for geometric shapes of different plane dimensions of the automobile model and geometric shapes of tires, and correlating to generate the model and the automobile model; the generating module 300 is configured to obtain a value range of a geometric feature variable of the automobile model, input the value range into the generating model, and generate one or more automobile models of corresponding types according to the value range of the geometric feature variable.
It should be noted that the foregoing explanation of the embodiment of the method for generating an automobile model is also applicable to the apparatus for generating an automobile model of this embodiment, and will not be repeated here.
According to the device for generating the automobile model, which is provided by the embodiment of the application, the geometric modeling of different dimensions and the geometric modeling of the tire can be constructed, the range of the values of the geometric shape characteristic variables is designed and obtained, the corresponding type of automobile model is generated, and the automatic batch generation of the automobile models of different automobile types and different geometric shapes is realized. Therefore, the problems that the parameterized automobile standard model in the related technology is a simplified scaling model, the appearance characteristic parameters only have single digits and respectively represent a certain single automobile model, the training database of the model is limited in scale, the geometric variables are few, the practical function is difficult to play in engineering design and the like are solved.
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
memory 1101, processor 1102, and a computer program stored on memory 1101 and executable on processor 1102.
The processor 1102 implements a method for generating an automobile model provided in the above embodiment when executing a program.
Further, the electronic device further includes:
a communication interface 1103 for communication between the memory 1101 and the processor 1102.
Memory 1101 for storing a computer program executable on processor 1102.
The memory 1101 may include a high-speed RAM (Random Access Memory ) memory, and may also include a non-volatile memory, such as at least one disk memory.
If the memory 1101, the processor 1102, and the communication interface 1103 are implemented independently, the communication interface 1103, the memory 1101, and the processor 1102 may be connected to each other through a bus and perform communication with each other. The bus may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component, external device interconnect) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 10, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 1101, the processor 1102, and the communication interface 1103 are integrated on a chip, the memory 1101, the processor 1102, and the communication interface 1103 may perform communication with each other through internal interfaces.
The processor 1102 may be a CPU (Central Processing Unit ) or ASIC (Application Specific Integrated Circuit, application specific integrated circuit) or one or more integrated circuits configured to implement embodiments of the present application.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for generating an automobile model as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable gate arrays, field programmable gate arrays, and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. A method for generating an automobile model, comprising the steps of:
constructing geometric modeling of the automobile model in different plane dimensions and geometric modeling of the tire;
designing geometrical appearance characteristic variables for geometrical shapes of different plane dimensions of an automobile model and geometrical shapes of tires respectively, and correlating to generate the model and the automobile model;
and acquiring a value range of the geometric outline characteristic variable of the automobile model, inputting the value range into the generating model, and generating one or more automobile models of corresponding types by the generating model according to the value range of the geometric outline characteristic variable.
2. The method of generating an automobile model according to claim 1, wherein the geometric profile feature variables include a geometric profile feature variable of a longitudinal section of an automobile, a geometric profile feature variable of a cross section, a geometric profile feature variable of a flat section, and a geometric profile feature variable of a tire.
3. The method of generating an automobile model according to claim 2, wherein the geometric profile characteristic variable of the longitudinal section includes at least one of:
the vehicle tail angle, the vehicle tail height, the vehicle tail lower part fillet radius, the vehicle tail upper part fillet radius, the cabin height, the cabin length, the cabin and tail window radius, the cabin and front gear radius, the chassis tail diffuser length, the chassis tail diffuser angle, the chassis front part downtilt plate length, the chassis front part downtilt plate angle, the vehicle cabin cover inclination angle, the vehicle cabin cover length, the vehicle cabin cover and front gear included angle, the vehicle cabin cover and front gear fillet radius, the vehicle head inclination angle, the vehicle head height, the vehicle head lower part fillet radius, the vehicle head upper part fillet radius, the vehicle tail window and trunk included angle, the vehicle tail window and trunk fillet radius, the trunk and chassis included angle and the trunk length.
4. The method of generating an automobile model of claim 2, wherein the geometric profile characteristic variable of the cross section comprises at least one of:
vehicle width, side window inclination angle, side window upper portion fillet radius, vehicle body inclination angle, vehicle body and side window fillet radius.
5. The method of generating an automobile model of claim 2, wherein the geometric profile characteristic variable of the planar surface comprises at least one of:
trunk tail fillet radius, locomotive both sides fillet radius.
6. The method of generating an automobile model of claim 2, wherein the geometric profile characteristic variable of the tire comprises at least one of:
the inward shrinking distance of the tire to the vehicle body, the vertical distance between the center of the tire and the reference point of the vehicle body, the diameter of the rim, the flat ratio of the tire section and the width of the tire.
7. The method for generating an automobile model according to any one of claims 1 to 6, wherein the generated model is a CAD model.
8. An automobile model generation device, comprising:
the building module is used for building geometric modeling of the automobile model in different plane dimensions and geometric modeling of the tire;
the design module is used for respectively designing geometric shape characteristic variables for geometric shapes of different plane dimensions of the automobile model and geometric shapes of tires, and correlating to generate the model and the automobile model;
the generation module is used for acquiring the value range of the geometric shape characteristic variable of the automobile model, inputting the value range into the generation model, and generating one or more automobile models of corresponding types according to the value range of the geometric shape characteristic variable by the generation model.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of generating an automobile model as claimed in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for realizing the method of generating an automobile model according to any one of claims 1-7.
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