• DocumentCode
    617048
  • Title

    Application of classic and T lumped parameter thermal models for Permanent Magnet Synchronous Machines

  • Author

    Guemo, Gilles Guedia ; Chantrenne, Patrice ; Jac, Julien

  • Author_Institution
    Centre Thermique de Lyon CETHIL, Univ. de Lyon, Villeurbanne, France
  • fYear
    2013
  • fDate
    12-15 May 2013
  • Firstpage
    809
  • Lastpage
    815
  • Abstract
    Heat Transfer simulation in Permanent Magnet Synchronous Machines is mandatory in order to predict temperatures during the design phase. The temperatures in the machine condition the choice of the correct materials as well as the cost of the machine. As these machines are complex, a compromise between accuracy and computational cost is necessary. In this paper, we present two thermal Permanent Magnet Synchronous Machine models developing using nodal approach. The first model corresponds to a classic nodal method, with a fine meshing of the machine. The second is made of a network of thermal resistors and capacitors set up using the T-nodal method with a crude meshing. This approach is quite popular as the computation time is quite short. Both models take into account the variation of copper heat losses with copper and magnet temperatures.
  • Keywords
    capacitors; heat losses; lumped parameter networks; permanent magnet machines; resistors; synchronous machines; T lumped parameter thermal model; T-nodal method; capacitor set up; classic nodal method; copper heat losses; copper temperatures; crude meshing; machine condition; magnet temperatures; nodal approach; thermal permanent magnet synchronous machine model; thermal resistors network; Computational modeling; Copper; Equations; Heating; Mathematical model; Thermal conductivity; Windings; Electrical machine; heat transfer; lumped parameter; thermal modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4673-4975-8
  • Electronic_ISBN
    978-1-4673-4973-4
  • Type

    conf

  • DOI
    10.1109/IEMDC.2013.6556186
  • Filename
    6556186