Design of magnetic resonant WPT systems
Naoki Fukuda, Yutaro Komiyama, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, and Hiroo Sekiya
IEEE Workshop on Nonlinear Circuit Networks (NCN2024), pp.50-52, Dec., 2024. [pdf document]

<Abstract>

This paper proposes a machine learning-based design for a load-independent wireless power transfer (WPT) system with the class-EF inverter topology. The fundamental concept of the proposed design strategy is to solve an optimization problem for achieving high-frequency load-independent operation by full numerical computations. An optimization evaluation function is formulated, considering output voltage and powerdelivery efficiency. The WPT system, designed through the proposed method, achieves a constant output voltage and zerovoltage switching (ZVS) against load variations. The quantitative agreements between experimental and numerical waveforms substantiate the validity of the proposed design.