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    Research on Multi-objective Intelligent Optimization of Vehicle Body Platform Performance

    Research on Multi-objective Intelligent Optimization of Vehicle Body Platform Performance


    The purpose of this paper is to study the platform performance optimization method based on implicit parametric body. Firstly, the body structure path is optimized based on topology optimization; Secondly, an approximate substitution model is constructed through machine learning to optimize the modal and stiffness performance. The collision performance is simultaneously optimized using black box optimization with modal and stiffness as the constraint condition; By overlaying and verifying the optimization scheme of modal and stiffness and collision, the final vehicle platform modal and stiffness performance can be improved by 5%–20%, and the SOB collision intrusion rate can be increased by about 50% or more, forming a vehicle platform performance optimization method. This method can effectively balance the relationship between modal, stiffness, collision and weight, and provide reference for the subsequent development of platform performance.

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    Titel :

    Research on Multi-objective Intelligent Optimization of Vehicle Body Platform Performance

    Weitere Titelangaben:

    Lect. Notes Electrical Eng.

    Beteiligte:
    Jiang, Xianglian (Autor:in) / Cao, Qin (Autor:in) / Shi, Caoliang (Autor:in) / Shen, Sheng (Autor:in) / Qiao, Yan (Autor:in)
    Kongress:

    Society of Automotive Engineers (SAE)-China Congress ; 2023 ; Shanghai, China October 25, 2023 - October 27, 2023

    Erschienen in:

    Proceedings of China SAE Congress 2023: Selected Papers ; Kapitel : 20 ; 271-283

    Lecture Notes in Electrical Engineering ; 1151

    Erscheinungsdatum :

    2024-02-21

    Format / Umfang :

    13 pages

    ISBN :

    978-981-97-0252-7 , 978-981-97-0251-0

    ISSN :

    1876-1119 , 1876-1100

    DOI :

    https://doi.org/10.1007/978-981-97-0252-7_20

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    platform , body in white , implicit parameterization , machine learning , black box optimization , multi-objective optimization Engineering , Mechanical Engineering , Automotive Engineering , Transportation Technology and Traffic Engineering

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