• DocumentCode
    182477
  • Title

    Designing in-wheel switched reluctance motor for electric vehicles

  • Author

    Yildirim, Muhammed ; Polat, Melda ; Oksuztepe, E. ; Omac, Z. ; Yakut, O. ; Eren, H. ; Kaya, M. ; Kurum, H.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Firat, Elaziğ, Turkey
  • fYear
    2014
  • fDate
    21-24 Sept. 2014
  • Firstpage
    793
  • Lastpage
    798
  • Abstract
    Estimation of dimension parameters for an electrical machine has great importance before manufacturing. For this reason, analytical design should be performed in an optimum form. While motor analysis is accomplished by package programs, initial size parameters are intutivily provided and then various trials are examined to get optimum results. In this study, we are trying to find dimensional and electrical parameters generating mathematical equations in analytic approaches for In-Wheel Switched Reluctance Motor (IW-SRM), which will be employed by Electric Vehicle (EV). Therefore, optimum motor parameters for required speed and torque have been estimated by solving generated equations for in-wheel SRM with 18/12 poles via MATLAB. Using the parameters, analysis of in-wheel SRM has been carried out 3D Finite Element Method (FEM) by Ansoft Maxwell 15.0 Package Software. Consequently, the accuracy of the estimated parameters has been validated by the results of Maxwell 3D FEM.
  • Keywords
    electric machine analysis computing; electric vehicles; finite element analysis; reluctance motors; 3D finite element method; Ansoft Maxwell 15.0 package software; EV; IW-SRM; Maxwell 3D FEM; electric vehicle; electric vehicles; inwheel switched reluctance motor; Copper; Inductance; Induction motors; Reluctance motors; Rotors; Stators; Torque; Designing In-wheel SRM; Electric Vehicle; Optimum Parameters Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
  • Conference_Location
    Antalya
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2014.6980594
  • Filename
    6980594