• DocumentCode
    2552039
  • Title

    Optimization of suspension design based on evolution algorithm for a novel E-bike

  • Author

    Lin, Chih-Jer ; Lin, Po-Ting ; Yu, Shen-Kai ; Hu, I-Lu

  • Author_Institution
    Grad. Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    651
  • Lastpage
    656
  • Abstract
    The objective of this study is to develop a novel design of electric bike. The authors used some engineering approach packages in this study to analyze kinetic and dynamics of the system. The newly developed suspension design of the E-bike will also be incorporated using ADAMS and BikeSim simulation into the design consideration of suspension. To improve the ride comfort and driving safety of the E-bike, an optimization problem is formulated based on the comfort and safety cost function. To obtain the optimal performance for the proposed suspension, evolution algorithms (EAs) are studied to obtain the optimal suspension parameters.
  • Keywords
    electric vehicles; evolutionary computation; optimisation; road safety; suspensions (mechanical components); ADAMS; BikeSim simulation; driving safety; electric bike; evolution algorithm; optimal suspension parameters; ride comfort; safety cost function; suspension design optimization; Damping; Roads; Safety; Shock absorbers; Vibrations; Wheels; Adams; evolution algorithm; suspension design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970594
  • Filename
    5970594