• DocumentCode
    1883485
  • Title

    Comparative Analysis of Control Techniques for Efficiency Improvement in Electric Vehicles

  • Author

    Haddoun, A. ; Benbouzid, M.E.H. ; Diallo, D. ; Abdessemed, R. ; Ghouili, J. ; Srairi, K.

  • Author_Institution
    Lab. d´´Ing. Mec. et Electr., Univ. of Western Brittany, Brest
  • fYear
    2007
  • fDate
    9-12 Sept. 2007
  • Firstpage
    629
  • Lastpage
    634
  • Abstract
    This paper presents system analysis, modeling and simulation of an electric vehicle (EV) with three different control strategies: field oriented control (FOC), direct torque control (DTC), and DTC using space vector modulation (DTC- SVM). The objective is to assess the control strategy impact on the EV efficiency taking into account the vehicle dynamics. Indeed, among EV motor electric propulsion features, the energy efficiency is a basic characteristic that is influenced by vehicle dynamics and system architecture. Simulation tests have been carried out on a 37-kW EV that consists in an induction motor with a three-level IGBT inverter. Preliminary results seem to indicate that the DTC-SVM scheme is the best candidate.
  • Keywords
    electric propulsion; electric vehicles; induction motors; invertors; machine vector control; torque control; vehicle dynamics; DTC-SVM; direct torque control; electric propulsion; electric vehicle control technique; field oriented control; induction motor; power 37 kW; space vector modulation; three-level IGBT inverter; vehicle dynamics; Analytical models; Electric vehicles; Energy efficiency; Functional analysis; Induction motors; Propulsion; Support vector machines; Testing; Torque control; Vehicle dynamics; Direct torque control; Electric vehicle; efficiency; field oriented control; induction motor; space vector modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference, 2007. VPPC 2007. IEEE
  • Conference_Location
    Arlington, TX
  • Print_ISBN
    978-0-7803-9760-6
  • Electronic_ISBN
    978-0-7803-9761-3
  • Type

    conf

  • DOI
    10.1109/VPPC.2007.4544199
  • Filename
    4544199