Optimization design method, device and equipment for automobile shape parameters and storage medium

Abstract

The embodiment of the invention discloses an optimization design method, device and equipment for automobile shape parameters and a storage medium. The method comprises the steps: carrying out fluid dynamics CFD model design on the automobile to obtain an automobile CFD model; constructing a three-dimensional topological structure population based on a set number of chromosome parameters; sequentially carrying out selection operation, crossover operation and mutation operation on chromosome parameters in the three-dimensional topological structure population to obtain an operated population; calculating the fitness of each chromosome parameter in the population after calculation, and determining a high-quality chromosome parameter according to the fitness; updating the three-dimensional topological structure population according to the high-quality chromosome parameters, returning the chromosome parameters in the updated three-dimensional topological structure population and sequentially performing selection, crossover and mutation operation; determining an optimal chromosome parameter from the high-quality chromosome parameters obtained from the last iteration according to the fitness, and taking the optimal chromosome parameter as an optimal automobile exterior parameter. While the calculation precision is improved, the simulation calculation amount is reduced, and the calculation efficiency is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of vehicle design, in particular to a method, device, equipment and storage medium for optimal design of vehicle exterior parameters. Background technique [0002] With the continuous maturity of Computational Fluid Dynamics (Computational Fluid Dynamics, CFD), the cases of using CFD technology to optimize the design of automobile appearance are also increasing. [0003] The current technology is basically based on CFD simulation. There are three main technologies at present: one is to study the overall impact of this parameter on the optimization of the car shape by changing a certain parameter. This research method is not only time-consuming, but also often The research process tends to ignore the relevance of each parameter and the integrity of the method; the second is to use the experimental design method to directly take sample points on the car for CFD design, such as orthogo...

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Problems solved by technology

[0003] The current technology is basically based on CFD simulation. There are three main technologies at present: one is to study the overall impact of this parameter on the optimization of the car shape by changing a certain parameter. This research method is not only time-consuming, but also often The research process tends to ignore the relevance of each parameter and the integrity of the method; the second is to use the experimental design method to directly take sample points on the car for CFD design, such as orthogonal experimental design, such as orthogonal design, composite design and other methods , this method not only reduces the amount of calculation, but also improves the scientific nature, but the reduction of its statistics is also prone to missing a large amount of data, especially in multi-objective optimization and other problems; the third is to use Genetic algorithm and other learning algorithms, these algorithms improve the optimization efficiency, but at the same time increase the amount of calculation, which brings certain difficulties to the design problem of CFD with a high amount of calculation. At the same time, if these methods are not designed properly, it is easy to appear in the calculation Getting stuck in local extrema etc.

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