• DocumentCode
    2099784
  • Title

    Multi-objective design optimization of PMSM for PEM fuel cell air-circuit with PSO algorithms

  • Author

    Sari, Ali ; Dubas, Frédéric ; Espanet, Christophe

  • Author_Institution
    FEMTO-ST Inst., Univ. of Franche-Comte (UFC), Belfort
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    1360
  • Lastpage
    1367
  • Abstract
    This paper deals with the design of a 500 W permanent magnet (PM) synchronous motor (PMSM) used to drive the air-compressor of a 5 kW fuel cell (FC). The authors focus on the optimization of the PMSM efficiency/mass/efficiency-mass in order to minimize the energy consumption and the mass of the air-compressor which can represent up to 30% of the electrical energy delivered by the FC. The aim of this paper is the optimization of the PMSM for proton exchange membrane (PEM) FC air-circuit with an analytical model (AM) based on the Maxwell´s equations and with the particle swarm optimization (PSO) algorithm. The results are compared to finite element analysis (FEA) and make it possible to define the characteristics that have the highest influence on the PMSM performances.
  • Keywords
    Maxwell equations; compressors; particle swarm optimisation; permanent magnet motors; proton exchange membrane fuel cells; synchronous motor drives; Maxwells equations; PEM fuel cell air-circuit; PMSM; PSO algorithm; air-compressor; multiobjective optimization design; particle swarm optimization; permanent magnet synchronous motor drive; power 5 kW; proton exchange membrane fuel cell; Analytical models; Biomembranes; Design optimization; Energy consumption; Finite element methods; Fuel cells; Maxwell equations; Particle swarm optimization; Protons; Synchronous motors; Fuel cell; PSO algorithm; analytical model; ancillaries; compressor; optimization; permanent magnet machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-4251-5
  • Electronic_ISBN
    978-1-4244-4252-2
  • Type

    conf

  • DOI
    10.1109/IEMDC.2009.5075380
  • Filename
    5075380