Analysis and Optimization of Damping Performance of Suspension System of Hybrid Connected Vehicle

doi:10.12068/j.issn.1005-3026.2021.08.006

Abstract

Abstract: To further improve the damping performance of automobile suspension， the structure and parameters of automobile suspension are optimized. Based on the electromechanical similarity theory， a suspension structure of hybrid connected vehicle with spring， damper and inerter is proposed， and the multi-objective genetic algorithm is used to optimize the parameters of vehicle suspension damping system. By solving the dynamic equation， the vibration response of vehicle suspension damping system under road pulse excitation is analyzed in time domain， and the influence of parameter optimization on suspension damping performance is analyzed in frequency domain. The results show that， compared with the traditional vehicle suspension， the proposed hybrid connected vehicle suspension structure can effectively reduce the resonance peak of the vehicle damping system and improve the damping performance of the vehicle suspension. Compared with the initial design parameters， the parameters obtained by using the multi-objective genetic algorithm can further improve the damping performance of the vehicle suspension.

Key words: automobile vibration reduction; hybrid connected suspension; inerter; parameter optimization; dynamics

CLC Number:

U463

LI Fan-jie ， LI Xiao-peng ， WO Xu， WEN Bang-chun. Analysis and Optimization of Damping Performance of Suspension System of Hybrid Connected Vehicle[J]. Journal of Northeastern University(Natural Science), 2021, 42(8): 1098-1104.

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