• DocumentCode
    1631047
  • Title

    Acceleration-to-torque ratio based anti-skid control for electric vehicles

  • Author

    Cai, Zhiyang ; Ma, Chengbin ; Zhao, Qunfei

  • Author_Institution
    Dept. of Autom., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2010
  • Firstpage
    577
  • Lastpage
    581
  • Abstract
    Anti-skid control for electric vehicles has attracted the attention of many researchers over the past years. Most of the approaches proposed need to measure or estimate the vehicle velocity to calculate the slip ratio. In this paper, an approach based on the ratio of wheel acceleration to motor torque for electric vehicle anti-skid control is proposed. Instead of the vehicle velocity, only two easily measured parameters for electric vehicles, wheel acceleration and motor torque, are used to estimate the slip level. Two types of controllers, a rules-based controller and a fuzzy logic controller are designed for the vehicle anti-skid control. Simulation results show that both of them can successfully prevent vehicle skidding.
  • Keywords
    angular velocity measurement; electric vehicles; fuzzy control; machine control; torque control; vehicle dynamics; acceleration-to-torque ratio; electric vehicle antiskid control; fuzzy logic controller; motor torque; rule based controller; slip ratio; vehicle velocity; wheel acceleration; Acceleration; Ice; Snow; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Embedded Systems and Applications (MESA), 2010 IEEE/ASME International Conference on
  • Conference_Location
    Qingdao, ShanDong
  • Print_ISBN
    978-1-4244-7101-0
  • Type

    conf

  • DOI
    10.1109/MESA.2010.5552020
  • Filename
    5552020