A Modeling and Parameter Identification Method of LCC-S Wireless Power Transfer for Railway Transits

Wireless Power Transfer (WPT) technology has great potential in railway transit applications benefiting from the advantages including high reliability, safety, low maintenance cost, low labor cost and strong environmental adaptability. In order to improve the efficiency and stability of WPT system considering the complicated operation environment of railway vehicles, especially the coil misalignment during long slopes and turns, it is indeed necessary to accurately identify the system parameters and take control measures accordingly with the system parameters varying. In this paper, a new parameter identification method with accurate modeling based on Genetic Algorithm (GA) is proposed, and the equivalent relationship between load and mutual inductance is introduced. The proposed parameter identification method avoids the common problem that the genetic algorithm easily falls into local optimal. Besides, the optimization speed is effectively improved. A detailed accurate high harmonic modeling and optimization algorithm process steps is provided, and simulation results proved that the parameter identification error of the load and mutual inductance is less than 1%.