• DocumentCode
    3446226
  • Title

    Design by optimization of an axial-flux permanent-magnet synchronous motor using genetic algorithms

  • Author

    Benlamine, R. ; Dubas, F. ; Randi, S.-A. ; Lhotellier, D. ; Espanet, C.

  • Author_Institution
    Renault SA, Guyancourt, France
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    13
  • Lastpage
    17
  • Abstract
    In this paper, a genetic algorithm (GA) is used to optimize a motor for an automotive application. This motor is a double stator axial permanent-magnet (PM) machine, and the optimization uses a simplified analytical model. The solution obtained with the tool is compared to three-dimensional (3-D) finite-elements method (FEM) to confirm the validity of the model.
  • Keywords
    automotive components; design engineering; genetic algorithms; permanent magnet motors; stators; synchronous motors; GA; PM; automotive application; axial-flux permanent-magnet synchronous motor optimization design; double stator axial permanent-magnet machine; genetic algorithms; Analytical models; Finite element analysis; Genetic algorithms; Optimization; Stators; Synchronous motors; Torque; Optimization; analytical model; axial-flux PM synchronous motor; embedded PM; genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2013 International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4799-1446-3
  • Type

    conf

  • DOI
    10.1109/ICEMS.2013.6754546
  • Filename
    6754546