CN114626143A - Automobile collision analysis optimization method, electronic device and storage medium - Google Patents
Automobile collision analysis optimization method, electronic device and storage medium Download PDFInfo
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Abstract
The invention discloses an automobile collision analysis optimization method, electronic equipment and a storage medium, and belongs to the field of automobile collision analysis optimization. The method utilizes the automatic driving parameter updating network division characteristic of the parameterized model, selects collision sample points (DOE test design) by using an optimized Latin hypercube algorithm, solves the collision sample points by using a high-performance computing platform and collision simulation software, constructs a proxy model by using a response surface algorithm, automatically seeks optimization by using a pointer-2 optimization algorithm based on the proxy model, and finally automatically seeks a reasonable body-in-white structure based on the whole vehicle collision condition by quickly verifying the sought optimal result through the parameterized model.
Description
Technical Field
The invention belongs to the field of automobile collision analysis optimization, and particularly relates to an automobile collision analysis optimization method, electronic equipment and a storage medium.
Background
The collision safety simulation analysis is an indispensable link in automobile research and development at present and is also an important ring of CAE analysis in automobile research and development, the actual condition that the vehicle collides when driving on the road is simulated through the simulation analysis of finite elements, and the vehicle body structure is optimized according to the simulation analysis result to achieve the purpose of protecting passengers in the vehicle and pedestrians on the road.
Nowadays, different vehicle safety evaluation indexes all provide requirements and challenges for the safety of vehicles. However, most of the existing vehicle body structure designs are that engineers design the vehicle body structure according to self experience and reference competitive products, the vehicle body structure is updated according to the problem of exposure of finite element analysis results, and then the vehicle body structure is analyzed until the development target requirement is met. Therefore, how to find a more reasonable and effective method to design the vehicle body structure so as to improve the collision safety performance of the whole vehicle body, thereby effectively reducing the cost and risk of vehicle body development, and is a great demand for current vehicle body development.
At present, the main process for optimizing the structure of the vehicle body based on the safe working condition of the collision of the whole vehicle is as follows:
(a) the method comprises the following steps that a CAD engineer carries out structural design on a body-in-white of a vehicle type to be developed according to design experience and the structure of a reference competitive vehicle, and the data storage form of the body structure is a CAD model (generally, a CATIA model);
(b) the CAE engineer discretizes a CAD model provided by the CAD engineer to obtain a CAE grid model for finite element analysis, and then simulation analysis is carried out based on the specific working condition of collision safety to obtain a risk area of the structure, so as to provide improvement suggestions for the structure;
(c) the CAD engineer improves the vehicle body structure in a targeted manner according to the simulation analysis result, and feeds back the CAD model to the CAE engineer after improvement;
(d) and the CAE engineer performs finite element simulation analysis on the new structure until the target requirement is met.
In conclusion, the traditional whole vehicle collision analysis optimization mainly depends on manual work to realize optimization work, a large number of schemes need to be iteratively tried and a vehicle body structure needs to be modified in order to meet the target requirement, modification of the vehicle body structure, establishment of a finite element grid model, simulation analysis and proposal of an optimization scheme all need to be manually realized by a CAD (computer aided design) engineer and a CAE (computer aided engineering) engineer, the process is complex, and a large amount of labor and time are needed.
Disclosure of Invention
The invention aims to provide an automobile collision analysis optimization method, electronic equipment and a storage medium, and solves the problem that a large number of schemes need to be iteratively tried and a vehicle body structure needs to be modified when the whole automobile collision analysis optimization is carried out.
In order to achieve the purpose, the invention provides an automatic analysis and optimization method for automobile collision based on a parameterized model technology. The method provides an automatic optimization method for the whole vehicle collision based on a parameterized model technology and combined with DOE analysis, a response surface proxy model algorithm and a pointer-2 optimization algorithm, and is used for solving the problem that a large number of schemes need to be iteratively tried and a vehicle body structure needs to be modified when the whole vehicle collision analysis is optimized.
The traditional model for collision simulation is not a parameterized model, so that variables cannot be recorded, automatic optimization cannot be performed, and manual operation is completely relied on. The invention records variables by adopting a parameterized model technology, provides an optimized combination suitable for the whole vehicle collision optimization, and fills the blank of the field.
A collision automatic optimization method based on a parameterized model technology comprises the following steps:
and S1, establishing a white vehicle body parameterized model, and setting parameterized model parameters.
The main parameters of the parameterized model comprise control point positions, line curvatures, section shapes and the like, and the parameterized assembly relation among parts is established through a mapping relation. The parameterized model is characterized in that: the grid can be quickly and automatically generated, and the integration of CAD and CAE is realized; when a certain parameter is changed, the connection relation of surrounding parts can be automatically changed without manual processing; the modeling can be modularized, the modules can be quickly exchanged, and the optimal analysis of the topological structure is carried out.
S2, constructing a collision analysis model and controlling parameters.
And (3) controlling the transformation parameters of the parameterized model by using a script, and outputting the grid model (optimized region) under different parameters. Parameterized parameters include thickness, section size, moving distance of the part, etc.
When assembling the collision model, the mesh of the optimized part is imported as a separate part, and the meshes of other non-optimized areas are kept unchanged. The optimized areas and the non-optimized areas are linked by corresponding files. The assembling mode can ensure that the parameterized model can be automatically assembled into a model for collision calculation after outputting different grids (optimized regions).
And after the collision model is calculated, a result file is generated, and the concerned displacement, acceleration and the like in the result file are extracted through the script to be used as an optimization target.
And S3, building a DOE analysis loop, adopting an optimized Latin hypercube design for the DOE algorithm, driving a parameterized model by using an optimized platform to perform collision calculation according to DOE sample point parameter values, and automatically combining other files required by the collision calculation.
The Latin hypercube design has the following advantages: effective space filling capacity, and the research at the same level needs fewer sample points; having the ability to fit second order or more non-linear relationships. The optimized Latin hypercube design improves the uniformity of the Latin hypercube design, and the fitting of factors and response is more accurate and real.
And S4, solving the DOE sample by using a high-performance computing platform.
S5, constructing a response surface proxy model according to the DOE analysis result data, checking whether the precision of the proxy model is proper or not, and if the precision is not enough, readjusting parameters of the proxy model or replacing a proxy model algorithm until the precision of the proxy model is proper.
S6, optimizing by setting an optimization target and constraint based on the proxy model through the pointer-2 optimization algorithm, wherein the pointer-2 optimization algorithm is suitable for multi-target global optimization and can find a global optimal result in the proxy model. Different constraints and targets can be replaced, and multiple groups of optimization results can be searched.
And S7, aiming at the multiple groups of optimization results, rapidly analyzing and verifying the optimization results by using the parameterized model, and screening the optimal results.
An electronic device comprising one or more processors and memory; one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the vehicle crash analysis optimization method described above.
The present invention also provides a computer-readable storage medium, in which a program code is stored, wherein the above-mentioned vehicle collision analysis optimization method is executed when the program code is executed.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the method utilizes the automatic driving parameter updating networking characteristic of the parameterized model, selects the collision sample points (DOE test design) by using the optimized Latin hypercube algorithm, solves the collision sample points by using a high-performance computing platform and collision simulation analysis software, constructs the proxy model by using a response surface algorithm, automatically seeks optimization by using a pointer-2 optimization algorithm based on the proxy model, and finally automatically seeks a reasonable body-in-white structure based on the collision working condition of the whole vehicle by quickly verifying the sought optimal result through the parameterized model.
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FIG. 1 is a flow chart of an automatic collision optimization method based on a parameterized model technology according to an embodiment of the present invention;
fig. 2 is a schematic diagram of the optimized parameter control and the construction of a collision model according to the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The method is effective and efficient, combines the technical advantages of automatic network change and separation of a parametric model parameter driving structure, DOE analysis, response surface agent model construction, a pointer-2 optimization algorithm and the like, combines an automatic optimization platform, needs less manual intervention, automatically finds the optimal combination of the section size, the beam system position, the sheet metal thickness, the material and the like aiming at the collision analysis working condition, and reduces a large amount of manual trial workload.
On the premise that the current research and development cycle is shortened and the rhythm is accelerated, the invention utilizes the technical combination to maximally reduce the workload, maximally exert the technical advantages and most conveniently find the collision vehicle body structure.
The automatic collision optimization method based on the parameterized model technology, as shown in fig. 1, includes the following steps:
and S1, establishing a white vehicle body parameterized model, and setting parameterized model parameters.
The body-in-white parameterized model is a model generated by parameter reconstruction of an automobile model, and can realize rapid parameterization and modularized CAD and CAE pretreatment integration. The parameters of the parameterized model are parameters which can affect the collision performance in the automobile body, such as the section size, the position, the material thickness, the material and the like of the automobile body beam, and are effective parameters screened according to the development limit and the arrangement space of the automobile body.
S2, building a collision analysis model, and compiling parameters of the script control parameterization model and a simulation calculation result.
As shown in fig. 2, the optimization platform updates parameters of the parameterized model by controlling the parameter file, then generates a corresponding optimized area grid, and the optimized area grid automatically builds a collision analysis model for calculation from the non-optimized area grid by connecting the model. The result of the collision analysis is automatically converted into an optimized target and a constraint through a script file and then transmitted to an optimization platform. The optimization platform continuously reads and changes the parameter file and the result file for optimization, thereby realizing the automation of the whole process.
And S3, building a DOE analysis loop, adopting an optimized Latin hypercube by a DOE algorithm, driving a parameterized model by an optimized platform to perform collision calculation according to DOE sample point parameter values, and automatically combining other files required by the collision calculation.
The optimized Latin hypercube algorithm is adopted in the DOE optimization algorithm, sample points of the algorithm are distributed uniformly, the calculated amount is small, the calculated amount is reduced on the premise that error analysis and proxy model construction can be met, and the calculation time is saved.
And S4, solving the DOE sample by using a high-performance computing platform.
S5, constructing the proxy model by using the response surface proxy model algorithm according to the DOE analysis result data, checking whether the precision of the proxy model is proper, and if the precision is not enough, readjusting the parameters of the proxy model or replacing the proxy model algorithm until the precision of the proxy model is proper.
S6, optimizing by setting an optimization target and constraint based on the proxy model through the pointer-2 optimization algorithm, wherein the pointer-2 optimization algorithm is suitable for multi-target global optimization and can find a global optimal result in the proxy model. Different constraints and targets can be replaced, and multiple groups of optimization results can be searched.
The optimization model algorithm adopts a pointer-2 algorithm, multiple combinations of optimized constraint and target try, and multiple groups of optimization results are searched.
And S7, aiming at the multiple groups of optimization results, rapidly analyzing and verifying the optimization results by using the parameterized model and screening the optimal results.
And the optimization result is quickly analyzed and verified by adopting a parameterized model technology, and an appropriate structural design scheme is analyzed and realized in the parameterized model according to engineering design experience by utilizing the characteristics of flexible, quick and quick change of the parameterized model and quick grid division, so that the effectiveness of the actual finite element analysis verification scheme is newly carried out.
The invention also provides an electronic device comprising one or more processors and a memory; one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the vehicle crash analysis optimization method described above.
The present invention also provides a computer-readable storage medium, in which a program code is stored, wherein the above-mentioned vehicle collision analysis optimization method is executed when the program code is executed.
It should be noted that, according to the implementation requirement, each step/component described in the present application can be divided into more steps/components, and two or more steps/components or partial operations of the steps/components can be combined into new steps/components to achieve the purpose of the present invention.
It will be understood by those skilled in the art that the foregoing is merely a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included within the scope of the present invention.
Claims (4)
1. An automobile collision analysis optimization method is characterized by comprising the following steps:
establishing a white body parameterized model, and establishing parameterized assembly relations among parts by the parameterized model through a mapping relation;
building a collision analysis model, and setting an optimization target and constraint by combining the calculation result of the collision analysis model and the requirement of vehicle model development;
recording optimization parameters based on the parameterized model;
building DOE design, wherein an optimized Latin hypercube is adopted in the DOE algorithm, a parameterized model is driven to output an optimized area grid model under different parameters according to DOE sample points, the optimized area grid model is connected with a non-optimized area grid through a connection model, and a model file required by collision calculation is automatically combined and built;
solving the DOE sample;
constructing a response surface proxy model by using a response surface proxy model algorithm according to DOE analysis result data, checking whether the precision of the proxy model meets the requirement, and if the precision DOEs not meet the requirement, readjusting proxy model parameters or replacing the proxy model algorithm until the precision of the proxy model meets the requirement;
optimizing by setting optimization targets and constraints based on the agent model by using a pointer-2 optimization algorithm, and replacing different optimization targets and constraints to search a plurality of groups of optimization results;
and aiming at the multiple groups of optimization results, rapidly analyzing and verifying the optimization results by using the parameterized model and screening the optimal results.
2. The method for analyzing and optimizing automobile collision according to claim 1, characterized in that the parameters of the body-in-white parameterized model are parameters in the automobile body which have influence on collision performance, and comprise thickness, section size and moving distance of parts.
3. An electronic device comprising one or more processors and memory;
one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the vehicle crash analysis optimization method of claim 1 or 2.
4. A computer-readable storage medium, in which a program code is stored, wherein the vehicle collision analysis optimization method according to claim 1 or 2 is performed when the program code is executed.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024082A (en) * | 2010-12-15 | 2011-04-20 | 同济大学 | Method for realizing multidisciplinary and multi-objective optimization of structural system of automobile instrument panel |
| CN112580228A (en) * | 2019-09-29 | 2021-03-30 | 中国航发商用航空发动机有限责任公司 | Fan blade structural design optimization method for mixed structure of turbofan engine |
| WO2021217975A1 (en) * | 2020-04-28 | 2021-11-04 | 湖南大学 | Efficient automobile side collision safety and reliability design optimization method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024082A (en) * | 2010-12-15 | 2011-04-20 | 同济大学 | Method for realizing multidisciplinary and multi-objective optimization of structural system of automobile instrument panel |
| CN112580228A (en) * | 2019-09-29 | 2021-03-30 | 中国航发商用航空发动机有限责任公司 | Fan blade structural design optimization method for mixed structure of turbofan engine |
| WO2021217975A1 (en) * | 2020-04-28 | 2021-11-04 | 湖南大学 | Efficient automobile side collision safety and reliability design optimization method |
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