While cars drive with good power and fuel economy, they also require good handling stability and driving comfort. These requirements can only be met by in-depth study of the dynamics of the entire vehicle system. Based on the genetic algorithm, this paper conducts virtual test research on the stability of car control. This method needs to contact the virtual reality platform for stability simulation test. The virtual reality platform designed in this paper can reduce the cycle of car development through virtual testing and will develop risks and costs are reduced to the point where it is feasible. In the experiment of automobile simulation test, genetic algorithm combined with stability simulation test is the most widely used. The use of genetic algorithm can give designers a good understanding of automobile performance in the automobile design stage. Algorithm for the best global approximate solution. The final results of the research show that the comparison of the speed test of the five target test points shows that the gap between the simulated value and the target value of the simulated value of the vehicle's piling speed is relatively small, the smaller the error; when the simulation speed of the car control parameters is 115.6 km/h, the speed target value of the car is 122.4 km/h; it can be seen that the error is small and has a certain feasibility.


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    Title :

    Virtual Reality Platform of Vehicle Handling Stability Simulation Based on Genetic Algorithm


    Additional title:

    Lect. Notes on Data Eng. and Comms.Technol.


    Contributors:
    Jansen, Bernard J. (editor) / Zhou, Qingyuan (editor) / Ye, Jun (editor) / Tang, Fang (author) / Yu, Zhiwei (author)

    Conference:

    International Conference on Cognitive based Information Processing and Applications ; 2022 ; Changzhou, China September 22, 2022 - September 23, 2022



    Publication date :

    2023-04-09


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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