Research on coil positioning method and magnetic field orientation strategy of wireless power transfer system

Autor: Feng Wen, Xiang Zhang, Qiang Li, Dashang Zhang, Guofeng Li, Shuqi Wu, Zhijun Yao, Kaiming Yu
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Energy Reports, Vol 9, Iss , Pp 353-361 (2023)
Druh dokumentu: article
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2023.09.021
Popis: In wireless power transfer (WPT) system, the displacement of the receiver coil may cause the problem of efficiency reduction. For this, this paper presents a coil localization method based on the BP neural network, and studies the strategy of using current phase-shift control to realize power orientation in positioning area. In this paper, the distribution of the array coils is designed as overlap, the relationship between the regional coordinate points and the coil current is studied, and the BP neural network is introduced to establish the coil positioning model. In order to effectively improve the localization accuracy, we propose a partition modeling optimization method based on this model. At the same time, a BP neural network magnetic flux model is established to determine the optimal phase of the array coil current when the magnetic flux in the region is the largest. Simulation and experiments show that the average positioning error of the optimization method in the area of 32.9 cm ×32.9 cm is less than 1 cm.
Databáze: Directory of Open Access Journals