• DocumentCode
    602214
  • Title

    Switched reluctance motor drive for full electric vehicles - Part I: Analysis

  • Author

    Vrenken, R.H.S. ; Duarte, Jorge ; Wijnands, C.G.E. ; Boynov, K. ; Lomonova, E. ; Bervoets, S. ; Faid, S.

  • Author_Institution
    Group Electromech. & Power Electron., Tech. Univ. Eindhoven, Eindhoven, Netherlands
  • fYear
    2013
  • fDate
    27-30 March 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper describes a control approach to reduce the torque ripple of the switched reluctance motor (SRM) employed as a prime mover in a full electric vehicle (FEV). The SRM drive, which was originally installed in the prototype electric vehicle was facing significant torque ripple at low speeds. The implemented control solution allowed to overcome this problem. The presented approach is based on the extensive mathematical modeling of the SRM drive. The nonlinear characteristics of the SRM have been obtained with the finite element method (FEM) software. The obtained FEM results have further been used in a transient lumped-parameter Matlab/Simulink model of the SRM drive, where the so-called Torque Sharing Function control technique with optimized control parameters was implemented to reduce the torque ripple and also to increase efficiency.
  • Keywords
    electric vehicles; finite element analysis; reluctance motor drives; FEM software; SRM drive; extensive mathematical modeling; finite element method software; full electric vehicles; optimized control parameters; switched reluctance motor drive; torque ripple reduction; torque sharing function control technique; Current measurement; MATLAB; Mathematical model; Reluctance machines; Switches; Torque; Vehicles; Control; Efficiency; Electric Vehicle; Modeling; Switched Reluctance Machine; Torque Ripple;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on
  • Conference_Location
    Monte Carlo
  • Print_ISBN
    978-1-4673-5269-7
  • Type

    conf

  • DOI
    10.1109/EVER.2013.6521605
  • Filename
    6521605