Optimization study on the vehicle handling stability and ride comfort using genetic algorithm method

  • Xiao Pan*
  • , Xiao Kai Chen
  • , Yi Lin
  • , Dong Cheng Wang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In order to improve the automobile ride comfort and handling stability, a nonlinear three-freedom handling stability model was established and the influence of the load transfer and the tire nonlinear stiffness characteristic on the automobile stability was researched during the high speed lane-change condition. An optimization of the suspension parameters based on genetic algorithm was proposed. The vehicle body roll angle was selected for minimum optimization objectives, the suspension frequency and the vehicle understeer performance was selected for constraint condition, and the suspension stiffness parameters were taken as the the design variables. The computation results show that the suspension design scheme through optimization has apparant effects on improving ride comfort and handling stability. Finally, the result of analysis indicates that the ride comfort and handling stability during high speed can be improved effectively through this matching method.

Original languageEnglish
Pages (from-to)1638-1642
Number of pages5
JournalBeijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
Volume38
Issue number11
Publication statusPublished - Nov 2012

Keywords

  • Genetic algorithm method
  • Nonlinear three-freedom
  • Stability
  • Tire nonlinar stiffness

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