Optimization on Receiver Parameters of Wireless Power Transfer System Based on Improved BP Neural Network
Wen Feng1, Jing Fansheng1, Li Qiang1, Zhao Wenhan2, Zhu Xueqiong3
1. School of Automation Nanjing University of Science and Technology Nanjing 210094 China; 2. Maintenance Company State Grid Jiangsu Electric Power Co. Ltd Nanjing 211102 China; 3. Research Institute State Grid Jiangsu Electric Power Co. Ltd Nanjing 210036 China
Abstract：In order to improve the transmission performance of the wireless power transfer (WPT) system, the concept of the optimal receiver radius is proposed in this paper by studying the variation law of magnetic flux and inner radius of receiver coil in magnetic resonant wireless power transfer (MR-WPT) system.By analyzing the WPT system of planar square, planar round and spatial spiral transmitter coils, the inherent existence of the optimal receiver radius is revealed. The variation rule of the optimal receiver radius with the parameters of the WPT system is explored, so as to determine the parameters affecting the optimal receiver radius. On this basis, the BP neural network improved by genetic algorithm is used to learn the variation law of the optimal receiver radius with the influencing parameters, and the accurate prediction of the optimal receiver radius under different coil parameters is realized. Finally, the existence of the optimal receiver radius of the WPT system and accuracy of the prediction results of the improved BP neural network are verified by the finite element simulation and experiments.
闻枫, 荆凡胜, 李强, 赵文翰, 朱雪琼. 基于改进BP神经网络的无线电能传输系统接收线圈参数优化[J]. 电工技术学报, 2021, 36(zk2): 412-422.
Wen Feng, Jing Fansheng, Li Qiang, Zhao Wenhan, Zhu Xueqiong. Optimization on Receiver Parameters of Wireless Power Transfer System Based on Improved BP Neural Network. Transactions of China Electrotechnical Society, 2021, 36(zk2): 412-422.
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2021, Vol. 36 
