Coefficient Analysis and Adaptive Frequency Resonance Control on Wireless Power Transfer

In this study, we propose an innovative approach to enhance the Wireless Power Transfer (WPT) systems through the application of ANSYS Finite Element Analysis (FEM) for coupling coefficient analysis and MATLAB Simulink for designing the proposed adaptive frequency resonance control. Conventional methods of calculating the coupling coefficient in WPT systems often face challenges in practical application due to their inefficiency and difficulty adapting to dynamic changes of coil position due to misalignment. To address these issues, our research introduces a methodology that leverages the precision of FEM to model input data and dynamically adjust the resonance frequency for optimal power transfer without the necessity of coefficient coupling estimation by direct communication between the transmitter and receiver. Through simulation and analysis, our method demonstrates the potential to significantly improve the WPT systems by finding the optimized key parameters of frequency resonance control and coupling coefficient. This paper presents our approach's theoretical foundation, simulation setup, and analysis results, offering a promising direction for future research and application in wireless power transfer.