Enhanced wireless power transfer system modeling using reflection theory and magnetic circuit analysis

Abstract

This thesis presents an advanced model for wireless power transfer (WPT) systems, designed to optimize efficiency in high-power applications. By incorporating reflection theory and imaginary gyrator to address impedance mismatches between systems, the research refines conventional approaches. The model integrates Faraday's law, reflection theory, circuit analysis, and magnetic circuit theory, validated through both simulations and experiments. Several coil configurations, including circular and hexagonal designs, are analyzed, and a planar coil self-inductance model is developed using magnetic circuit theory. Tested at 3.7 kW, the model identifies peak efficiency points under varying load conditions by combining reflection theory with circuit analysis. Unlike previous models, it adapts to load variations within a 10 Ω tolerance range. The proposed method also optimizes mutual inductance for different power levels and load conditions. This research offers significant advancements for WPT systems in electric vehicle and drone charging, improving efficiency and addressing limitations of existing designs.