Automobile wind resistance coefficient optimization method based on self-adaptive agent model

Abstract

The invention provides an automobile wind resistance coefficient optimization method based on a self-adaptive agent model. The automobile wind resistance coefficient optimization method comprises thefollowing steps: conducting CFD simulation calculation on an automobile initial model; selecting a design variable and determining a change range of the design variable; constructing a parameterized model; selecting a sample point, calculating a wind resistance coefficient calculation value corresponding to the sample point, and storing the sample point into a sample point database; judging whether design variables need to be screened or not; constructing an agent model; optimizing the agent model to obtain an optimized solution and an optimized value; calculating a wind resistance coefficientcalculation value corresponding to the optimal solution; calculating the distance between the optimization solution and the sample point and the absolute value of the difference between the corresponding wind resistance coefficient calculation values, and obtaining an increase point; and calculating the error between the minimum wind resistance coefficient calculation value and the correspondingoptimization value until the precision requirement is met. The method has the beneficial effects that on the premise of ensuring the precision, the calling frequency of a complex real simulation modelis reduced, the automobile wind resistance coefficient optimization efficiency is improved, the time cost is reduced, and the research and development period is shortened.

Description

technical field [0001] The invention belongs to the technical field of automobile aerodynamics, and in particular relates to an automobile drag coefficient optimization method based on an adaptive agent model. Background technique [0002] With the continuous improvement of the fuel consumption evaluation index of fuel vehicles and the mileage requirements of new energy vehicles, it has become an urgent need for various OEMs to create a low wind resistance vehicle. The traditional method of reducing the drag coefficient of automobiles, which mainly relies on wind tunnel tests, is short of test resources and high in research and development costs, and cannot meet the requirements of modern automobile development efficiency. Reducing the drag coefficient through CFD simulation technology can effectively shorten the research and development cycle and reduce research and development costs, and has become an indispensable means in the process of automobile development and design....

AI Technical Summary

Problems solved by technology

Due to the complex structure of the vehicle flow field, which presents a high degree of nonlinearity, it is very difficult to study the optimization of the vehicle drag coefficient. The optimization efficiency is low, the operation is complicated, and it takes a long time.

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