Multi-objective tradeoffs in the design optimization of a brushless permanent magnet machine with fractional-slot concentrated windings

Peng Zhang, Gennadi Y. Sizov, Muyang Li, Dan M. Ionel, Nabeel A.O. Demerdash, Steven Stretz, Alan W. Yeadon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

In this paper, a robust parametric model of a brushless (BL) permanent magnet (PM) machine with fractional-slot concentrated windings (FSCW), which was developed for automated design optimization is presented. A computationally efficient-finite element analysis (CE-FEA) method was employed to estimate the dq-axes inductances, the induced voltage and torque ripple waveforms, and losses of the machine. A method for minimum effort calculation of the torque angle corresponding to the maximum torque per ampere (MTPA) load condition was developed. A differential evolution (DE) algorithm was implemented for the global design optimization with two concurrent objectives of minimum losses and minimum material cost. An engineering decision process based on the Pareto-optimal front for 3,500 candidate designs is presented together with discussions on the tradeoffs between cost and performance. One optimal design was finally selected, prototyped and tested.

Original languageEnglish
Title of host publication2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013
Pages2842-2849
Number of pages8
DOIs
StatePublished - 2013
Event5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013 - Denver, CO, United States
Duration: Sep 15 2013Sep 19 2013

Publication series

Name2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013

Conference

Conference5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013
Country/TerritoryUnited States
CityDenver, CO
Period9/15/139/19/13

Keywords

  • differential evolution
  • finite element analysis
  • fractional-slot concentrated winding
  • multi-objective design optimization
  • permanent magnet machine

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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