Analysis of Proximity Loss of Electrical Machines Using Mesh-Based Magnetic Equivalent Circuit

Yixiang Yuan, Mostafa Ahmadi Darmani, Yuli Bao, Xiaochen Zhang, David Gerada, Alan Zhang

Research output: Journal PublicationArticlepeer-review

Abstract

In high power density machines, proximity loss presents an unavoidable obstacle due to its significant impact on thermal dissipation and insulation aging. To address the need for rapid and accurate proximity loss prediction, this study presents a novel methodology that employs a mesh-based magnetic equivalent circuit (MEC) for calculating proximity loss in electrical machines. Using an existing machine as an example, the proposed approach is applied to various scenarios, yielding results that demonstrate close agreement with both finite element analysis (FEA) and experimental results, validating its effectiveness. Notably, the technique exhibits high flexibility and can be extended to accommodate slots of various shapes. This innovative approach, which involves flux leakage calculation, represents a previously unexplored avenue and could potentially serve as a fundamental basis for expeditious AC loss calculations.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Transportation Electrification
DOIs
Publication statusAccepted/In press - 2024

Keywords

  • AC losses
  • Conductors
  • Copper
  • copper losses
  • eddy current
  • flux leakage
  • high-speed machines
  • Magnetic circuits
  • Magnetic cores
  • Magnetic Equivalent Circuit (MEC)
  • Magnetic flux leakage
  • mesh-based MEC
  • PM machines
  • proximity effects
  • Shape
  • Windings

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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