Chinese Journal of Electrical Engineering ›› 2023, Vol. 9 ›› Issue (2): 94-106.doi: 10.23919/CJEE.2023.000013

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Optimal Design of Transmission Characteristics for Hexagonal Coil Wireless Power Transfer System Based on Genetic Algorithm*

Ping’an Tan1,*, Bin Song1, Xu Shangguan1, Huadong Liu2   

  1. 1. School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China;
    2. CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd., Zhuzhou 412001, China
  • Received:2022-01-29 Revised:2022-05-09 Accepted:2022-08-04 Online:2023-06-25 Published:2023-06-28
  • Contact: *E-mail: tanpingan@126.com
  • About author:Ping’an Tan received the B.S. degree in Automation from Xiangtan University, Xiangtan, China, in 2001, the M.S. degree in Power Electronics from Xiangtan University, Xiangtan, China, in 2004, and the Ph.D. degree in Power Electronics from South China University of Technology, Guangzhou, China, in 2010. He is currently an Associate Professor in the School of Automation and Electronic Information, Xiangtan University, Xiangtan, China. His current research interests include the fields of wireless power transfer, power electronics, and intelligent control.
    Bin Song received the B.S. degree in Building Electricity and Intelligence from Xiangtan University, China, in 2019, where he is currently working toward the M.S. degree in Power Electronics. His research interests include wireless power transfer applications and power electronics converters.
    Xu Shangguan received his B.S. degree in Electric Engineering and Automation from the Hunan Institute of Engineering, Xiangtan, China, in 2019. He is presently working towards his M.S. degree in Electrical Engineering at Xiangtan University, Xiangtan, China. His current research interests include wireless power transmission applications and electromagnetic compatibility.
    Huadong Liu received his B.S. degree in Electrical Engineering and Automation from the Chengdu University of Technology, Chengdu, China, in 2005; and his M.S. degree from Southwest Jiaotong University, Chengdu, China, in 2008. In 2008, he joined the CRRC Zhuzhou Institute Co., Ltd., Zhuzhou, China. He is presently working as a Senior Engineer at the CRRC ZIC Research Institute of Electrical Technology and Material Engineering. His current research interests include wireless power transfer system design, converter control design, and programming techniques and languages.
  • Supported by:
    *Special Funding Support for the Innovative Construction in Hunan Province of China (2020GK2073).

Abstract: Effective optimization methods are used to guide the optimal design of coil parameters, which is significant for improving the transmission performance of the wireless power transfer (WPT) system. Traditional methods mostly rely on the exhaustive attack method and finite element analysis (FEA) to achieve the coil parameter design, which have the disadvantages of complex modeling and time-consumption. To overcome these limitations, this study proposes an optimization strategy based on the genetic algorithm (GA), which considers the actual requirements of the efficiency and power of the WPT system. First, a direct integration method is proposed to simplify the analytical solution process of the mutual inductance between the hexagonal coils. Based on the mutual inductance model, the transmission characteristics of the hexagonal coil WPT system are deeply analyzed by the control variable method. Most importantly, with the proposed optimization objective function and its constraints, the GA is used to automatically achieve multi-parameter optimization of the hexagonal coil. Finally, a 500 W WPT system experimental platform is established, and the experimental results verify the feasibility of the proposed optimization method.

Key words: Wireless power transfer (WPT), hexagonal coil, misalignment, optimal design, genetic algorithm (GA)