Synchronous Identification of Loads and Mutual Inductances for Multi-frequencies Multi-loads WPT System

Abstract

The alteration of load and mutual inductance is an inevitable factor that limits the performance of the Wireless Power Transfer(WPT) system with multi-pickup coils. In the proposed synchronous identification method, a steady-state circuit model of mDulti-frequencies multi-loads WPT system is established and the sliding-window Discrete Fourier Transform(DFT) method is applied to extract primary current signals at different frequencies. Meanwhile, the Particle Swarm Optimization(PSO) algorithm is adopted to achieve the identification of loads and mutual inductances, which uses the deviations between experimental values and theoretical values of the output voltage as the objective function to turn the identificating process into an optimization problem. The result of simulation shows that errors of identification are within 4% and 3% respectively, which verifies the feasibility of the proposed identification method.