• DocumentCode
    2273447
  • Title

    Modeling of stator teeth-tip iron losses in fractional-slot concentrated winding surface PM machines

  • Author

    Reddy, Patel B. ; Jahns, T.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA
  • fYear
    2009
  • fDate
    20-24 Sept. 2009
  • Firstpage
    1903
  • Lastpage
    1910
  • Abstract
    This paper presents a model for estimating the iron losses in the stator teeth tips of surface permanent magnet (SPM) machines with fractional-slot concentrated windings based on simplified semi-analytical solutions for the machine flux densities. This model is being developed for use in machine design optimization software that analyzes very large numbers of candidate designs. Tooth tip design details are important because a significant fraction of the total stator iron losses is concentrated in these structures during high-speed operation. The first model in this paper focuses on closed-form solutions for no-load operation. It is shown that the simplified model can estimate the stator losses predicted by finite element (FE) analysis within 15% while consuming less than 0.1% of the calculation time required for FE analysis. Armature reaction is included by means of conformal mapping analysis that makes it possible to predict the tooth-tip losses during loaded operation within 15% of the FE results.
  • Keywords
    finite element analysis; optimisation; permanent magnet machines; stators; armature reaction; conformal mapping analysis; finite element analysis; fractional slot concentrated winding; iron losses; machine design optimization software; machine flux density; stator teeth tip; surface permanent magnet machines; conformal mapping; high speed operation; iron losses; surface permanent magnet machines; tooth tips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-2893-9
  • Electronic_ISBN
    978-1-4244-2893-9
  • Type

    conf

  • DOI
    10.1109/ECCE.2009.5316058
  • Filename
    5316058