Parameter Optimization of an LCC ‐S MCR ‐ WPT System Based on an Improved Multi‐Objective Artific

Magnetically Coupled Resonant Wireless Power Transfer (MCR‐WPT) shows great potential, but the coordinated optimization of efficiency and output power remains a critical issue in practical applications. To improve the overall transmission performance of MCR‐WPT systems, this paper proposes a parameter configuration method based on the Improved Multi‐Objective Artificial Hummingbird Algorithm (IMOAHA). An LCC‐S MCR‐WPT model is established to study how key parameters affect transmission performance. Efficiency and output power are then selected as the optimization objectives, while operating frequency and transmitter‐side compensation inductance are taken as optimization variables to build a constrained parameter optimization model. IMOAHA is used to obtain a Pareto optimal solution set under topology and device stress constraints, and a parameter scheme with better overall performance is selected. The optimized parameters are verified by MATLAB/Simulink simulation and experiments. Results show that the proposed method improves output power while maintaining similar efficiency, and it also keeps stable performance under misalignment, confirming its effectiveness and robustness. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.