Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems

To address the issues of frequency detuning and the difficulty of simultaneously optimizing efficiency and cost in magnetic resonance wireless power transfer (MR-WPT) systems under composite interference, this paper proposes a fuzzy-PSO hybrid frequency tracking algorithm and constructs a three-dimensional topology evaluation model and a dual-objective optimization framework based on efficiency, stability, and cost. Simulation results demonstrate that the proposed hybrid algorithm reduces frequency tracking error by over 30% compared to traditional methods and improves convergence speed by 40%. The three-dimensional evaluation model identifies the optimal application scenarios for S-S, S-P, and P-P topologies. Genetic algorithm optimization achieves a 15% increase in system efficiency and a 20% reduction in cost. This study provides effective algorithmic strategies and design guidelines for the industrialization of MR-WPT systems.