Multi-objective Optimization Design of a DSSRM with U-type Modular Segmental-stator Structure

Authors

  • Xing Wang International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou 221008, China, International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou 221008, China, Jiangsu Province Foreign Expert Workshop on New Energy Power Generation and Electric Transportation Xuzhou 221008, China
  • Hao Chen International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou 221008, China, International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou 221008, China, Jiangsu Province Foreign Expert Workshop on New Energy Power Generation and Electric Transportation Xuzhou 221008, China, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China, Shenzhen Research Institute China University of Mining and Technology, Shenzhen 518057, China
  • Fengyuan Yu School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China
  • Wenju Yan School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China
  • Jianfei Pan School of Electromechanical and Control Engineering Shenzhen University, Shenzhen 518054, China
  • Yassen Gorbounov Department of Informatics New Bulgarian University, Sofia 1618, Bulgaria

DOI:

https://doi.org/10.13052/2024.ACES.J.400902

Keywords:

Double stator structure, multi-objective optimization, switched reluctance motor, U-type modular structure

Abstract

A U-type modular double stator switched reluctance motor (DSSRM) which has the merit of high-power density is optimized in this paper. Taking average torque, torque smoothing coefficient and efficiency as objectives, sensitivity analysis on DSSRM is investigated and discussed to select significant geometric variables. On the basis of the initial structural parameters, the multi-objective optimization design is processed by adopting a fuzzy iteration optimization algorithm with weight determination. After the determination of decision result of each structure parameter, the best dimension scheme of the DSSRM is concluded. Moreover, the final scheme proves to perform better than the initial scheme by finite element (FE) analysis. Finally, a prototype motor is manufactured and the experimental results validate the improvement of the DSSRM performance.

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Author Biographies

Xing Wang, International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou 221008, China, International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou 221008, China, Jiangsu Province Foreign Expert Workshop on New Energy Power Generation and Electric Transportation Xuzhou 221008, China

Xing Wang received the B.S. degree from China University of Mining and Technology, Xuzhou Jiangsu, China, in 1996, and M.S. degree from China University of Mining and Technology, Xuzhou Jiangsu, in 1999. In 2007, she became an Associate Professor with China University of Mining and Technology, Xuzhou. She is a holder of four US Patents, nine Australian Patents, two Canadian Patents, four Russian Patents, 12 Chinese Invention Patents, three Chinese Utility Model Patents, and has authored 15 papers.

Hao Chen, International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou 221008, China, International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou 221008, China, Jiangsu Province Foreign Expert Workshop on New Energy Power Generation and Electric Transportation Xuzhou 221008, China, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China, Shenzhen Research Institute China University of Mining and Technology, Shenzhen 518057, China

Hao Chen received the B.S. and Ph.D. degrees from the Department of Automatic Control, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1991 and 1996, respectively. In 1998, he became an Associate Professor with the School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, where he has been a Professor since 2001. From 2002 to 2003, he was a Visiting Professor at Kyungsung University, Busan, Korea. Since 2008, he has also been an Adjunct Professor at the University of Western Australia, Perth, Australia. He is the author of one book and has also authored more than 190 papers. He is the holder of 14 US Patents, 23 Australian Patents, one Danish Patent, seven Canadian Patents, three South African Patents, 10 Russian Patents, 44 Chinese Invention Patents and six Chinese Utility Model Patents. His current research interests include motor control, linear launcher, electric vehicles, electric traction, servo drives and wind power generator control. Chen was the recipient of both the Prize of Science and Technology of Chinese Youth and the Prize of the Fok Ying Tong Education Foundation for Youth Teachers in both 2004. He was awarded the first prize in the Science and Technology advanced of Province and Ministry once, the second prize in the Science and Technology advanced of Province and Ministry seven times, and the third prize in the Science and Technology advanced of Province and Ministry 14 times. He became the Chinese New Century Hundred-Thousand Ten-Thousand Talents Engineering National Talent in 2007 and won the Government Especial Allowance of People’s Republic of China State Department in 2006.

Fengyuan Yu, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China

Fengyuan Yu received the Ph.D. degree from the School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China, in 2023. Since 2023, he has been a Post-Doctoral Researcher with the China University of Mining and Technology. His research interests include switched reluctance drive, special motor design, power converters and motor control.

Wenju Yan, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China

Wenju Yan received the B.S. degree in electrical engineering and automation from the China University of Mining and Technology, Xuzhou, China, in 2013. He received the Ph.D. degree in electrical engineering from the China University of Mining and Technology, Xuzhou, in 2018. From 2019 to 2021, he was a Postdoctoral Research Fellow with China University of Mining and Technology, Xuzhou. Since 2021, he has been an associate professor at the China University of Mining and Technology, Xuzhou. His current research interests include electric vehicles, electric traction, iron loss analysis and special motor design.

Jianfei Pan, School of Electromechanical and Control Engineering Shenzhen University, Shenzhen 518054, China

Jianfei Pan graduated from the Department of Electrical Engineering of Hong Kong Polytechnic University in Hong Kong with the Ph.D. degree in 2006. Currently he is working in the College of Mechatronics and Control Engineering, Shenzhen University, China. His main research interests are wireless power transfer, electric machine design and control.

Yassen Gorbounov, Department of Informatics New Bulgarian University, Sofia 1618, Bulgaria

Yassen Gorbounov received his B.S., M.S. and Ph.D. degrees from the Sofia University of Technology, Sofia, Republic of Bulgaria, in 2002, 2004, and 2013, respectively. Since 2017, he has been working as an Associate Professor at the Sofia University of Technology. His current research interests include power electronics and the mining industry.

References

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Published

2025-09-30

How to Cite

[1]
X. . Wang, H. . Chen, F. . Yu, W. . Yan, J. . Pan, and Y. . Gorbounov, “Multi-objective Optimization Design of a DSSRM with U-type Modular Segmental-stator Structure”, ACES Journal, vol. 40, no. 09, pp. 810–820, Sep. 2025.

Issue

2025: Vol 40 Iss 9

Section

Advances in Analysis, Design and Control of Switched Reluctance Machines

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