Comparison and Design Optimization of a Five-Phase Flux-Switching PM Machine for In-Wheel Traction Applications

Hao Chen, Xiangdong Liu, Ayman M. El-Refaie, Jing Zhao, Nabeel A.O. Demerdash, Jiangbiao He

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

A comparative study of five-phase outer-rotor flux-switching permanent magnet (FSPM) machines with different topologies for in-wheel traction applications is presented in this paper. Those topologies include double-layer winding, single-layer winding, C-core, and E-core configurations. The electromagnetic performance in the low-speed region, the flux-weakening capability in the high-speed region, and the fault-tolerance capability are all investigated in detail. The results indicate that the E-core FSPM machine has performance advantages. Furthermore, two kinds of E-core FSPM machines with different stator and rotor pole combinations are optimized, respectively. In order to reduce the computational burden during the large-scale optimization process, a mathematical technique is developed based on the concept of computationally efficient finite-element analysis. While a differential evolution algorithm serves as a global search engine to target optimized designs. Subsequently, multiobjective tradeoffs are presented based on a Pareto-set for 20 000 candidate designs. Finally, an optimal design is prototyped, and some experimental results are given to confirm the validity of the simulation results in this paper.

Original languageEnglish
Article number8733854
Pages (from-to)1805-1817
Number of pages13
JournalIEEE Transactions on Energy Conversion
Volume34
Issue number4
DOIs
StatePublished - Dec 2019

Bibliographical note

Funding Information:
Manuscript received September 20, 2018; revised February 16, 2019; accepted June 3, 2019. Date of publication June 9, 2019; date of current version November 21, 2019. This paper was supported in part by the National Natural Science Foundation of China under Project 51677005, in part by the Intelligent Equipment and Technology of Automation Research and Development Platform under Grant 2016F2FC007, and in part by China Scholarship Council. Paper no. TEC-00918-2018. (Corresponding author: Jing Zhao.) H. Chen is with the School of Automation, Beijing Institute of Technology, Beijing 10081, China, and also with the Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI 53233 USA (e-mail: hao.chen@marquette.edu).

Publisher Copyright:
© 1986-2012 IEEE.

Keywords

  • Computationally efficient finite-element analysis
  • design optimization
  • flux-switching
  • in-wheel traction motors
  • permanent magnet (PM) machine

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Comparison and Design Optimization of a Five-Phase Flux-Switching PM Machine for In-Wheel Traction Applications'. Together they form a unique fingerprint.

Cite this