• DocumentCode
    157187
  • Title

    An advanced lifetime prediction method for permanent magnet synchronous machines

  • Author

    Huger, D. ; Gerling, Dieter

  • Author_Institution
    Dept. of Electr. Drives & Actuators, Univ. der Bundeswehr Muenchen, Neubiberg, Germany
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    686
  • Lastpage
    691
  • Abstract
    In this paper, a system of coupled and interacting models for dynamic electric and thermal behavior of an electrical machine is presented. The models are specifically designed for maximum execution speed and are suitable for simulating the machine behavior over long time periods and even the entire lifetime of the machine. Nevertheless, the results proved to be remarkably accurate. Arbitrary electrical faults and thermal asymmetries can be simulated. The influence of the winding resistance and magnet temperature on the machine behavior is implemented. The machine models are connected to lifetime models for the winding insulation at different locations and for the bearings. The aging of those machine components over a driving cycle (CADC) was investigated for healthy case and a given machine design. The temperature distribution inside the machine was analyzed for that specific driving cycle.
  • Keywords
    permanent magnet machines; reliability; synchronous machines; temperature distribution; traction motors; arbitrary electrical faults; dynamic electric behavior; electrical machine lifetime models; lifetime prediction method; machine components; magnet temperature; permanent magnet synchronous machines; temperature distribution; thermal asymmetry; thermal behavior; winding insulation; winding resistance; Circuit faults; Integrated circuit modeling; Load modeling; Magnetic levitation; Magnetic separation; Mathematical model; Windings; analytical models; electric machines; electric vehicles; lifetime estimation; permanent magnet machines; reliability; simulation; traction motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2014 International Conference on
  • Conference_Location
    Berlin
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2014.6960255
  • Filename
    6960255