Multi-physics and multi-objective optimization of a high speed PMSM for high performance applications

Weiduo Zhao, Xuejiao Wang, Chris Gerada, He Zhang, Chuan LIU, Yinli Wang

Research output: Journal PublicationArticlepeer-review

33 Citations (Scopus)

Abstract

High-speed permanent magnet synchronous machine (PMSM) can provide high power density and high efficiency, which is often highly desirable in high performance applications. A multi-physics optimization program based on the multi-objective genetic algorithm was developed in this paper, to achieve a tradeoff solution between the electromagnetic, mechanical, and thermal aspects. First, the parametric electromagnetic model was modeled based on the finite-element method, and then a thermal network model and an analytical mechanical model to determine the thickness of the magnet and the sleeve were developed and merged within a design cycle of the machine, in an effort to attain the target performances of 20 kW/kg at 20 000 r/min for a 2 MW PMSM. Optimization results indicated that a final design with eight poles and 48 slots could obtain a comprehensive performance between power density and efficiency, and the performance satisfied all the requirements.

Original languageEnglish
Article number8369390
JournalIEEE Transactions on Magnetics
Volume54
Issue number11
DOIs
Publication statusPublished - Nov 2018

Keywords

  • High-speed permanent magnet synchronous machine (PMSM)
  • multi-objective
  • multi-physics
  • optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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