• DocumentCode
    3284724
  • Title

    Modeling and simulation of driving system for electric vehicle based on fuzzy control strategy

  • Author

    Guo, Rongqing ; Zhao, Xuan ; Yu, Man ; He, Yilin

  • Author_Institution
    Sch. of Automobile, Chang´´an Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    5957
  • Lastpage
    5961
  • Abstract
    The establishment of mathematical model of electric vehicle(EV) driving system combines balance equation of vehicle movement with equation of mechanical characteristics of direct current (DC) motor. Fuzzy PI control strategy optimizes the model and simulates the model with Simulink software. Simulation results show that the mathematical model of EV driving system can reflect operating condition of the vehicle factually and accurately. Fuzzy PI control strategy optimizes the control of driving system, at the same time makes simulation speed track the required speed accordingly. The model has strong robustness and is applicable to the simulation of EV driving system.
  • Keywords
    PI control; digital simulation; electric vehicles; fuzzy control; Simulink software; direct current motor mechanical characteristics equation; electric vehicle driving system; fuzzy PI control strategy; vehicle movement balance equation; Automobiles; DC motors; Equations; Fuzzy control; Mathematical model; Pi control; Simulink; driving system; electric vehicle; fuzzy control; modeling; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777832
  • Filename
    5777832