Artificial Neural Network-Based Parameter Identification Method for Wireless Power Transfer Systems

• DOI: 10.3390/electronics11091415
• Publication Date: 2022-04-28T16:06:01Z
• Authors: Liangxi He; Sheng Zhao; Xiaoqiang Wang; Chi-Kwan Lee
• Keywords: Wireless Power Transfer; Identification

In this paper, a Wireless Power Transfer (WPT) system parameter identification method that combines an artificial neural network and modeling is presented. During wireless charging, there are two critical parameters; specifically, mutual inductance load resistance, which change due to the movement of transmitter/receiver battery conditions. The these uncertain parameters essential prerequisite for implementation feedback control. proposed utilizes Artificial Neural Network (ANN) acquire value. A succinct model formulated calculate resistance remote receiver. maximum error estimation 2.93%, 7.4%. Compared traditional methods, provides alternative way obtain using only primary-side information. Experimental results were provided validate effectiveness method.