Optimal Design of IPM Motors with Different Cooling Systems and Winding Configurations

Alireza Fatemi, Dan M. Ionel, Nabeel A.O. Demerdash, Thomas W. Nehl

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Performance improvement of permanent magnet (PM) motors through optimization techniques has been widely investigated in the literature. Oftentimes the practice of design optimization leads to derivation/interpretation of optimal scaling rules of PM motors for a particular loading condition. This paper demonstrates how these derivations vary with respect to the machine ampere loading and ferrous core saturation level. A parallel sensitivity analysis using a second-order response surface methodology followed by a large-scale design optimization based on evolutionary algorithms are pursued in order to establish the variation of the relationships between the main design parameters and the performance characteristics with respect to the ampere loading and magnetic core saturation levels prevalent in the naturally cooled, fan-cooled, and liquid-cooled machines. For this purpose, a finite-element-based platform with a full account of complex geometry, magnetic core nonlinearities, and stator and rotor losses is used. Four main performance metrics including active material cost, power losses, torque ripple, and rotor PM demagnetization are investigated for two generic industrial PM motors with distributed and concentrated windings with subsequent conclusions drawn based on the results.

Original languageEnglish
Article number7452365
Pages (from-to)3041-3049
Number of pages9
JournalIEEE Transactions on Industry Applications
Volume52
Issue number4
DOIs
StatePublished - 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Computer-aided design
  • design of experiments (DOE)
  • design optimization
  • distributed windings
  • finite-element analysis
  • fractional slot concentrated windings
  • machine modeling and general design
  • permanent-magnet machines
  • sensitivity analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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