• DocumentCode
    2182107
  • Title

    Robust thermal model for the estimation of rotor cage and stator winding temperatures of induction machines

  • Author

    Kral, Christian ; Haumer, Anton ; Lee, Sang Bin

  • Author_Institution
    Mobility Dept., AIT Austrian Inst. of Technol. GmbH, Vienna, Austria
  • fYear
    2012
  • fDate
    2-5 Sept. 2012
  • Firstpage
    1810
  • Lastpage
    1816
  • Abstract
    In this paper a new model for the estimation of the stator winding and rotor cage temperatures of induction machines is presented. This model can be used in series applications of machines operated under dynamic load conditions where stator and rotor temperature shall be monitored. The proposed model relies on a simplified lumped element thermal equivalent circuit model where the stator core temperature serves as input quantity. The great advantage of this model is that it covers ambient and cooling conditions inherently. This leads to great simplicity and robustness. The parametrization and validation of the model through experimental data is presented. Advantages, drawbacks and possible implementations are discussed.
  • Keywords
    asynchronous machines; equivalent circuits; rotors; stators; cooling conditions; dynamic load conditions; induction machines; input quantity; robust thermal model; rotor cage temperature estimation; simplified lumped element thermal equivalent circuit model; stator core temperature; stator winding temperature estimation; Load modeling; Rotors; Stator cores; Stator windings; Temperature measurement; Temperature sensors; Squirrel cage induction machine; cooling; dynamic load; lumped element thermal equivalent circuit model; temperature estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2012 XXth International Conference on
  • Conference_Location
    Marseille
  • Print_ISBN
    978-1-4673-0143-5
  • Electronic_ISBN
    978-1-4673-0141-1
  • Type

    conf

  • DOI
    10.1109/ICElMach.2012.6350127
  • Filename
    6350127