Design and Optimization of Hybrid Excitation Switched Reluctance Motors for Electric Transportation Vehicles

Authors

  • Qing Wang Department of Electrical Engineering Nanchang University, Nanchang 330031, China
  • Jiangtao Hu Department of Electrical Engineering Nanchang University, Nanchang 330031, China
  • Jiaxin Ding Department of Electrical Engineering Nanchang University, Nanchang 330031, China
  • Fengshuo Liu Department of Electrical Engineering Nanchang University, Nanchang 330031, China
  • Yumeng Zhu Department of Electrical Engineering Nanchang University, Nanchang 330031, China
  • Yongqing Deng Department of Electrical Engineering Nanchang University, Nanchang 330031, China

DOI:

https://doi.org/10.13052/2024.ACES.J.400903

Keywords:

Finite element analysis (FEA), genetic algorithm, hybrid excitation switched reluctance motor (HESRM), multi-objective optimization, neural network

Abstract

To improve the torque characteristic of hybrid excitation switched reluctance motors (HESRM), the structure and excitation current of HESRM are comprehensively studied. First, a novel structure is introduced to HESRM, in which pole pieces are added to the rotor salient pole to reduce output torque ripple. The effect of different structural parameters in HESRM is studied by finite element model (FEM). To evaluate the torque characteristic of the machine, mean torque and torque are chosen as key evaluation factors of HESRM. To achieve a quick and accurate optimization process, an artificial neural network (ANN) based prediction model is built according to FEM results, in which system structure is employed as input components and evaluate factors are employed as output components. Then, genetic algorithm (GA) is designed for HESRM structure optimization. With improved GA and ANN prediction models, the torque performance of HESRM can be further improved. Finally, experimental and simulation results are given to validate the accuracy of machine design.

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Author Biographies

Qing Wang, Department of Electrical Engineering Nanchang University, Nanchang 330031, China

Qing Wang received the B.S. degree in automation from Northeastern University, Shenyang, China, in 2011, and the Ph.D. degree in electrical engineering from China University of Mining and Technology, Xuzhou, China, in 2017. In 2018, he became a Lecturer with the School of Information Engineering, Nanchang University, Nanchang, China, where he has been an Associate Professor since 2023. His research interests include electric vehicles, electrical motor drives, renewable energy generations, and micro-grids.

Jiangtao Hu, Department of Electrical Engineering Nanchang University, Nanchang 330031, China

Jiangtao Hu received the B.S. degree in electrical engineering from Jiangxi University of Science and Technology, Ganzhou, China, in 2023. He is currently working toward the M.S. degree at the School of Information Engineering, Nanchang University. His research interests include power electronics and motor control.

Jiaxin Ding, Department of Electrical Engineering Nanchang University, Nanchang 330031, China

Jiaxin Ding received the B.S. degree in Mechanical from Nanchang University, Nanchang, China, in 2020, and is currently pursuing the M.S. degree in Electrical Engineering at the School of Information Engineering, Nanchang University. His research interests include motor design and control.

Fengshuo Liu, Department of Electrical Engineering Nanchang University, Nanchang 330031, China

Fengshuo Liur eceived the B.S. degree in electrical engineering from Henan Polytechnic University, Jiaozuo, China, in 2021. He is currently working toward the M.S. degree at the School of Information Engineering, Nanchang University, Nanchang, China. His research interests include switched reluctance motor and its control.

Yumeng Zhu, Department of Electrical Engineering Nanchang University, Nanchang 330031, China

Yumeng Zhu received the B.S. degree in electrical engineering from East China Jiaotong University, Nanchang, China, in 2023. He is currently working toward the M.S. degree at the School of Information Engineering, Nanchang University. His research interests include power electronics and motor control.

Yongqing Deng, Department of Electrical Engineering Nanchang University, Nanchang 330031, China

Yongqing Deng received the B.S. and Ph.D. degrees from the School of Electrical Engineering, Wuhan University, Wuhan, China, in 2016 and 2021, respectively. He is currently an Associate Professor with the Information Engineering School of Nanchang University. His main research interests include high voltage and insulation technology, numerical analysis, and engineering application of electromagnetic field.

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Published

2025-09-30

How to Cite

[1]
Q. . Wang, J. . Hu, J. . Ding, F. . Liu, Y. . Zhu, and Y. . Deng, “Design and Optimization of Hybrid Excitation Switched Reluctance Motors for Electric Transportation Vehicles”, ACES Journal, vol. 40, no. 09, pp. 821–830, Sep. 2025.

Issue

2025: Vol 40 Iss 9

Section

Advances in Analysis, Design and Control of Switched Reluctance Machines