Optimized design and analysis of a novel combined-pole PMSM with magnetic barriers for electric vehicles

To meet the demanding performance requirements of electric vehicle (EV) traction motors, this paper proposes a novel combined-pole permanent magnet synchronous motor (PMSM) with magnetic barriers. The flux paths are investigated to compute air-gap magnetic flux density distributions under different main magnetic circuits, followed by Fourier decomposition. Analytical expressions for air-gap flux density, output torque, and cogging torque are derived, identifying key rotor structural parameters and their variation ranges. With optimization objectives including air-gap flux distortion rate, cogging torque, output torque, and torque ripple, a hierarchical multi-objective optimization strategy based on comprehensive sensitivity analysis is proposed. High-sensitivity parameters—tangential parameters (PM) width/thickness and V-shaped PM width/angle—are optimized via evolutionary algorithms. Results demonstrate increased output torque (6.64%) and reduced cogging torque (29.7%).

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Publication Details

Journal
International Journal of Applied Electromagnetics and Mechanics
Published
2026-10-15
DOI
https://doi.org/10.1177/13835416261490471
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimized design and analysis of a novel combined-pole PMSM with magnetic barriers for electric vehicles

Wenjing Hu, Yu Qi, Wang Junfeng, Jiao Wenjie et al.
International Journal of Applied Electromagnetics and Mechanics
Electric Motor Design and Analysis
article

Optimized design and analysis of a novel combined-pole PMSM with magnetic barriers for electric vehicles

Wenjing Hu, Yu Qi, Wang Junfeng, Jiao Wenjie, Zhou Xin, Geng Huihui, Yixin Liu
article en

Abstract

To meet the demanding performance requirements of electric vehicle (EV) traction motors, this paper proposes a novel combined-pole permanent magnet synchronous motor (PMSM) with magnetic barriers. The flux paths are investigated to compute air-gap magnetic flux density distributions under different main magnetic circuits, followed by Fourier decomposition. Analytical expressions for air-gap flux density, output torque, and cogging torque are derived, identifying key rotor structural parameters and their variation ranges. With optimization objectives including air-gap flux distortion rate, cogging torque, output torque, and torque ripple, a hierarchical multi-objective optimization strategy based on comprehensive sensitivity analysis is proposed. High-sensitivity parameters—tangential parameters (PM) width/thickness and V-shaped PM width/angle—are optimized via evolutionary algorithms. Results demonstrate increased output torque (6.64%) and reduced cogging torque (29.7%).

International Journal of Applied Electromagnetics and Mechanics
Shandong University of Technology (CN), Great Wall Motors (China) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Electric Motor Design and Analysis
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