• DocumentCode
    2750233
  • Title

    Fuzzy-Logic-Based Controller Design for Four-wheel-drive Electric Vehicle Yaw Stability Enhancement

  • Author

    Feiqiang, Li ; Jun, Wang ; Zhaodu, Liu

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    116
  • Lastpage
    120
  • Abstract
    Vehicle yaw stability enhancement controller for four-wheel-drive electric vehicle is proposed in this paper based on the fuzzy logic control technique. Brake differential control is used to stabilize vehicle yaw motion significantly. However, the forces between road and tires are not utilized effectively enough. As four motors are mounted in the four wheels individually to drive the vehicle, the four-wheel-drive electric vehicle has great advantage to use the tire traction and braking forces to generate active yaw moment for stabilizing vehicle motion. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic controller is investigated based on the vehicle dynamic analysis. Simulation performance is evaluated in the CarMaker® virtual environment including driver model and road model. And the simulation results have shown that the design control law and fuzzy logic controller can enhance the yaw stability of the vehicle significantly, especially on the low friction road.
  • Keywords
    control system synthesis; electric vehicles; fuzzy control; stability; vehicle dynamics; CarMaker® virtual environment; brake differential control; four-wheel-drive electric vehicle yaw stability enhancement; fuzzy-logic-based controller design; vehicle dynamic analysis; vehicle yaw motion; Electric vehicles; Fuzzy logic; Motion control; Roads; Stability; Tires; Traction motors; Vehicle driving; Vehicle dynamics; Wheels; Fuzzy logic control; electric vehicle; yaw stability enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.827
  • Filename
    5359112