• DocumentCode
    1320781
  • Title

    Advanced Iron-Loss Estimation for Nonlinear Material Behavior

  • Author

    Eggers, Daniel ; Steentjes, Simon ; Hameyer, Kay

  • Author_Institution
    Inst. of Electr. Machines, RWTH Aachen Univ., Aachen, Germany
  • Volume
    48
  • Issue
    11
  • fYear
    2012
  • Firstpage
    3021
  • Lastpage
    3024
  • Abstract
    The aim of an optimal design of electrical machines requires the accurate prediction of iron losses for various operating points. For this purpose different iron-loss models have been proposed which intent to describe the loss inducing effects. The most used iron-loss prediction formulas are either physically based, but nevertheless only valid for linear material behavior at low frequencies and low magnetic flux densities, or grounded on a pure mathematical description of the material behavior, that is not more than interpolated measurements. This paper presents a modified loss equation with semi-physically based parameters as well as a first try to explain the nonlinear loss component.
  • Keywords
    eddy current losses; interpolation; iron; magnetic flux; magnetic leakage; mathematical analysis; Fe; advanced iron-loss estimation; electrical machines; interpolated measurements; iron-loss models; iron-loss prediction formulas; linear material behavior; loss inducing effects; low frequencies; low magnetic flux densities; material behavior; mathematical description; modified loss equation; nonlinear loss component; nonlinear material behavior; operating points; optimal design; semiphysically based parameters; Estimation; Frequency measurement; Loss measurement; Magnetic hysteresis; Saturation magnetization; Soft magnetic materials; High frequency iron losses; magnetic losses; measurement loss prediction; nonlinear material behavior; soft magnetic materials;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2208944
  • Filename
    6332687