Parametric Modeling and Optimization of Switched Reluctance Motor for EV

Authors

  • Lijun Liu 1) School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200444, China 2)School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China
  • Yu Huang School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China
  • Mingwei Zhao 1) School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200444, China 2)School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China
  • Yi Ruan School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200444, China

DOI:

https://doi.org/10.13052/2022.ACES.J.370904

Keywords:

multi-objective performance optimization, parametric finite element modeling, Switched Reluctance Motor, wide speed regulation characteristics

Abstract

To meet the high- performance requirements of new energy vehicle drive, the optimization design of 8/6 Switched Reluctance Motor is realized based on finite element parametric modeling of the motor. Firstly, the initial design of motor structure parameters is carried out based on the mathematical model of Switched Reluctance Motor, and the simulation model of the motor is built using RMxprt platform, and the debugging of the characteristics of the wide speed range of the motor is finished. Then, the parametric finite element model of the motor is generated, and the stator and rotor pole arc coefficients of the motor are selected as the optimization variables, and the multi-objective compromise optimization of the torque characteristics and efficiency of the motor is carried out by using the Quasi-Newton method weighting method. Finally, the magnetic field distribution, torque characteristics, efficiency and speed range characteristics before and after optimization are compared, proving that the optimized Switch Reluctance Motor can achieve multi-objective performance optimization. The motor designed by this modeling optimization method can improve the requirements of vehicle driving better.

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Author Biographies

Lijun Liu, 1) School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200444, China 2)School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China

Lijun Liu was born in Shanxi, China, in 1977. She received her M.S. degree in Power Electronics and Power Drive from China University of Mining and Technology, Xuzhou, China, in 2006, and is currently pursuing a Ph.D. degree in Power Electronics and Power Drive from Shanghai University, Shanghai, China.

She is currently a lecturer at the School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China. She has published more than 10 articles. Her research interests include the design and optimization of new energy-electric drive systems, and industrial motion control systems, etc.

Yu Huang, School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China

Yu Huang was born in Jiangsu, China. He received his B. S. degree in Electric Engineering from Jiangsu Normal University, Xuzhou, China, in 2022, and is currently pursuing an M.S. degree in Power Systems from North China Electric Power University, Baoding, China. His research interests include the design and optimization of new energy electric drive systems, and high voltage techniques, etc.

Mingwei Zhao, 1) School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200444, China 2)School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China

Mingwei Zhao was born in Shandong China, in 1975. He received anthe M.S. degree in Power Electronics and Power Drive from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2012, and is currently pursuing a Ph.D. degree in Control Science and Control Engineering from Shanghai University, Shanghai, China.

Since 2006, he has been an experiment lecturer with the school of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China. He is the author of 10 articles. His research interests include the robot dynamic drive and cooperative control, and industrial motion control system, etc.

Yi Ruan, School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200444, China

Yi Ruan was born in Shanghai, China, in 1955. He received an M.S. degree in Shanghai University of Technology, Shanghai, China, in 1989, and a Ph.D. degree in Power Electronics and Power Drive from Shanghai University, Shanghai, China, in 1996.

From 1989 to 2015, he has been a professor of the Electromechanical Engineering and Automation, Shanghai University, Shanghai, China. He once served as the chairman of the Special Committee Of Variable Frequency Power Supply And Electric special committee of variable frequency power supply and electric drive of the Power Supply Society of China. His research interests include the power electronics and power drive, control and power conversion technology of new energy, etc.

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Published

2022-09-30

How to Cite

[1]
L. . Liu, Y. . Huang, M. . Zhao, and Y. . Ruan, “Parametric Modeling and Optimization of Switched Reluctance Motor for EV”, ACES Journal, vol. 37, no. 09, pp. 948–958, Sep. 2022.

Issue

2022: Vol 37 Iss 9

Section

General Submission

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