Hybrid Reluctance Machine with Skewed Permanent Magnets and Zero-Sequence Current Excitation

Ziqi Huang, Xing Zhao, Weiyu Wang and Shuangxia Niu ()
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Ziqi Huang: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Xing Zhao: Department of Electronic Engineering, The University of York, York YO10 5DD, UK
Weiyu Wang: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Shuangxia Niu: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Energies, 2022, vol. 15, issue 22, 1-17

Abstract: The reluctance machine is a potential candidate for electrical vehicle propulsion because of its reliable structure, low cost, flexible flux regulation ability, and wide speed range. However, the torque density is unsatisfactory because of the poor excitation ability and low stator core utilization factor. To solve this problem, in this paper, a novel hybrid reluctance machine (HRM) with the skewed permanent magnet (PM) and the zero-sequence current is proposed for electric vehicles. The skewed PM has two magnetomotive force (MMF) components with different functions. The radial MMF component provides extra torque by the flux modulation effect. The tangential MMF component can generate a constant biased field in the stator core to relieve the saturation caused by the zero-sequence current and thus improve the utilization factor of the stator core. Therefore, torque improvement and the relief of stator core saturation can be simultaneously achieved by the skewed PM. In this paper, the machine structure and principle of the proposed machine are introduced. And ultimately, the machine’s electromagnetic performances are evaluated under different PM magnetization directions and zero-sequence current angles by using finite element analysis (FEA).

Keywords: finite element methods; permanent magnet; reluctance machines (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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