• DocumentCode
    551275
  • Title

    Research and simulation on braking force distribution strategy in electric vehicle

  • Author

    Xu Guokai ; Zhang Tao ; Zhao Xiuchun

  • Author_Institution
    Coll. of Electromech. & Inf. Eng., Dalian Nat. Univ., Dalian, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    6166
  • Lastpage
    6169
  • Abstract
    According to the analysis of the disadvantages of braking force distribution strategy in ADVISOR for electric vehicles, a braking force distribution strategy based on fuzzy logic is proposed in this paper. The travel of the brake pedal, the vehicle speed (or the rotation speed of the motor) and the battery´s state of charge (SOC) are simultaneously considered in this strategy, so the braking force distribution is optimized. In this way, the braking energy is efficiently recovered. Simulation results show the effectiveness and superiority of the proposed method.
  • Keywords
    braking; electric vehicles; fuzzy logic; power engineering computing; ADVISOR; SOC; battery state of charge; brake pedal; braking force distribution strategy; electric vehicle; fuzzy logic; vehicle speed; Analytical models; Distribution strategy; Electric vehicles; Electronic mail; Force; Fuzzy logic; System-on-a-chip; Braking Force Distribution; Electric Vehicle; Fuzzy Logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001620