• DocumentCode
    3257787
  • Title

    Fuzzy Logic Controller for Electric Vehicle Braking Strategy

  • Author

    Wang, Xixi ; Cheng, K. W Eric ; Liao, Xiaozhong ; Cheung, Norbert C. ; Dong, Lei

  • Author_Institution
    Hong Kong Polytech. Univ., Hong Kong
  • fYear
    2007
  • fDate
    27-30 Nov. 2007
  • Firstpage
    1542
  • Lastpage
    1547
  • Abstract
    In this paper, the braking strategy is developed for electric vehicle which includes regenerative braking and anti-lock brake system (ABS). Induction motor is used in EV to regenerate kinetic energy. This paper describes the preliminary research and implementation of a fuzzy logic controller to control wheel slip for ABS. The controller is used to enhance the vehicle stability and safety under highly nonlinear and time variant braking conditions. Simulation was used to derive a rule base. The robustness of the fuzzy-logic slip regulator is further tested by applying the resulting controller over a wide range controller over a wide range of operating conditions.
  • Keywords
    electric vehicles; fuzzy control; induction motors; regenerative braking; anti-lock brake system; electric vehicle braking strategy; fuzzy logic controller; induction motor; regenerate kinetic; regenerative braking; vehicle stability; wheel slip control; Electric vehicles; Fuzzy logic; Induction motors; Kinetic energy; Regulators; Robust control; Stability; Testing; Vehicle safety; Wheels; ABS; Antilock braking system; Electrcial vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems, 2007. PEDS '07. 7th International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-0645-6
  • Electronic_ISBN
    978-1-4244-0645-6
  • Type

    conf

  • DOI
    10.1109/PEDS.2007.4487912
  • Filename
    4487912