Multi-objective optimization of parameters for magnetically coupled resonant wireless energy transmission systems
Chunming Wen,
Minbo Chen,
Qing Xu,
Qiuli He,
Jiarong Wu,
Xiaohui Zhao,
Yuanxiong Liang,
Kairong Liang
Affiliations
Chunming Wen
Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University for Nationalities, Nanning 530006, China
Minbo Chen
Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University for Nationalities, Nanning 530006, China
Qing Xu
Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University for Nationalities, Nanning 530006, China
Qiuli He
School of Electronical Engineering, Guangxi University, Nanning 530006, China
Jiarong Wu
Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University for Nationalities, Nanning 530006, China
Xiaohui Zhao
Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University for Nationalities, Nanning 530006, China
Yuanxiong Liang
Guangxi Lanchuang New Energy Automotive Equipment Co., Ltd., Liuzhou 545000, China
Kairong Liang
Liuzhou Wuling Automobile Industry Co., Ltd., Liuzhou 545000, China
To improve the transmission efficiency and output power of a magnetically coupled resonant wireless energy transmission system, this paper proposes a multi-objective optimization method based on the analytical expression and the improved NSGA-II algorithm. First, the analytical expressions of the electrical and performance parameters in the magnetically coupled resonant mechanism are derived. On this basis, the mathematical model of the multi-objective optimization of the magnetically coupled mechanism is established, with the size, many turns, and wire diameter of the transmitting and receiving coils in the magnetically coupled mechanism as design variables; the resonant frequency of the system, the distance between the coils, and the load size as constraints; and the transmission efficiency and transmission power as optimization objectives. Then the mathematical model is solved by the improved NSGA-II algorithm to obtain the Pareto optimal solution. Finally, the physical system is built to verify the correctness of the simulation experiment and the reliability of the experiment. This study is instructive for optimizing the transmission efficiency and output power of a magnetically coupled resonant wireless energy transmission system.
