Magnetic Field Prediction in Cubic Spoke-Type Permanent-Magnet Machine Considering Magnetic Saturation

Journal article (2024)

Authors

Yunlu Du Southeast University
Yunkai Huang Southeast University
Baocheng Guo Nanjing Normal University
Zakarya Djelloul KHEDDA Université Djilali Bounaama Khemis Miliana
Fei Peng Southeast University
Y. Yao Southeast University, DC systems, Energy conversion & Storage - EEMCS
J. Dong DC systems, Energy conversion & Storage - EEMCS
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
Copyright: © 2024 Yunlu Du, Yunkai Huang, Baocheng Guo, Zakarya Djelloul-Khedda, Fei Peng, Y. Yao, J. Dong
DOI: https://doi.org/10.1109/TIE.2023.3265043
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Published Date

2024

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

Abstract

In this article, a nonlinear semianalytical model (SAM) is presented to predict the magnetic field distribution (MFD) and electromagnetic performances (EPs) in the cubic spoke-type permanent magnet (PM) machine. To model the rectangular PMs, the rectangular PM is simplified as a combination of fan-shaped regions with different arc angles. Then, the MFD and EPs of the cubic spoke-type machines can be obtained by the harmonic modeling technique. Particularly, the saturation of the magnetic bridges is considered by the nonlinear iterative algorithm. The proposed nonlinear SAM is studied on a 12-slot/8-pole cubic PM prototype, and the nonlinear finite element model and experiment verify its correctness. The main contribution of this article is to present a general analytical modeling method for cubic spoke-type PM machines and consider the magnetic saturation of magnetic bridges.

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