• DocumentCode
    3052883
  • Title

    Slip ratio control of independent AWD EV based on fuzzy DSMC

  • Author

    Guangcai ; Yugong ; Keqiang ; Xiaomin ; Zou ; Luo ; Li, Jonathan ; Lian

  • Author_Institution
    State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A slip ratio control method using fuzzy dynamical sliding mode strategy (fuzzy DSMC) is proposed to reduce the slip ratio oscillations in the independent AWD EV traction control. The slip ratios are also accurately estimated in a new way to support this control process. Firstly in this control method, the fuzzy logic method is applied respectively to regulate the switching surface and the reaching law of DSMC with the estimated slip ratios, which are used to weaken the chattering and improve the convergence rate to some extent Furthermore the control structure of DSMC is designed to obtain the smooth torque outputs from all independent traction motors, which are implemented in the anti-skid control for EV in the end. The simulation experiments show that the method can greatly avoid the drawback of control chattering occurred in the classical sliding mode control. Moreover, the robustness of systems for parameter uncertainties is also guaranteed in simulation validation.
  • Keywords
    electric vehicles; fuzzy control; motor drives; traction motors; variable structure systems; all wheel drive electric vehicle; fuzzy dynamical sliding mode strategy; fuzzy logic method; independent AWD EV; independent traction motors; parameter uncertainties; slip ratio control; switching surface; traction control; Control systems; Fuzzy control; Fuzzy logic; Process control; Robustness; Sliding mode control; Torque control; Traction motors; Uncertain systems; Wheels; Dynamical Sliding Mode; Electric Driving; Fuzzy Logic; Independent AWD; Slip Ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety, 2007. ICVES. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1265-5
  • Electronic_ISBN
    978-1-4244-1266-2
  • Type

    conf

  • DOI
    10.1109/ICVES.2007.4456400
  • Filename
    4456400