• DocumentCode
    185031
  • Title

    Control strategies for four in-wheel driven electric vehicles when motor drive systems fail

  • Author

    Xiaoshuai Xin ; Hangen Zheng ; Hongbin Xu ; Gang Qin

  • Author_Institution
    Dept. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    885
  • Lastpage
    890
  • Abstract
    This paper focuses on the design of control strategy in four-wheel independent drive (4WID) electric vehicles when motor drive systems fail. We proposed a control strategy to maintain the performance and stability for the 4WID electric vehicles with motor drive systems failure. Firstly, failure modes of motor drive systems are classified and analyzed as Failure-Driving mode and Failure-Stopping mode. Secondly, a twolayer-control-model (upper layer and lower layer) is presented to maintain the performance and stability of the vehicle by controlling the normal motor drive systems for Failure-Driving mode; In the upper layer, fuzzy logic direct yaw-moment control (DYC) is proposed. In the lower layer, a control algorithm is designed to distribute torque to motor drive systems without failure. The effectiveness of the control strategies have been examined using a driving simulator system.
  • Keywords
    control system synthesis; electric vehicles; fuzzy control; motor drives; road vehicles; stability; 4WID electric vehicles; DYC; control algorithm design; control strategy design; failure-driving mode; failure-stopping mode; four-wheel independent drive electric vehicles; fuzzy logic direct yaw-moment control; motor drive system failure; two layer-control-model; vehicle stability; Electric vehicles; Motor drives; Niobium; Stability analysis; Torque; Wheels; Automotive; Fault-tolerant systems; Hierarchical control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859424
  • Filename
    6859424