A novel PSO-based transfer efficiency optimization algorithm for wireless power transfer

Abstract

To improve the power transfer efficiency in a magnetically-coupled resonant wireless power transfer (MCR-WPT) system, an efficient particle swarm optimization (PSO) algorithm based on the change of particle swarm scale is proposed. The transfer efficiency and frequency are used as the fitness function and particle position, respectively. Therefore, the optimal frequency can be obtained by adjusting the position of particle. Five types of optimizing process are presented and compared with the traditional PSO algorithm. It is found that the proposed method has faster convergence speed than the traditional PSO algorithm. Additionally, the proposed five types of optimizing process with different regulation parameters are investigated. The results indicate that Type 2 with n = 3 is the best alternative in finding the optimal frequency with the fastest speed of convergence. Experimental prototypes have been set up for validation.