Research on parameter identification and phase-shifted control of magnetically coupled wireless power transfer system based on Inductor–Capacitor–Capacitor compensation topology

In the practical applications of magnetically coupled wireless power transfer (MC-WPT) system, mutual inductance and load may change. In view of this situation, a parameter identification method, which based on the hybrid algorithm of particle swarm optimization algorithm and genetic algorithm, for Inductor–Capacitor–Capacitor Series( LCC-S) system under phase-shifted control is proposed in this paper. The method only needs the current sampling data of the primary side. By configuring the parameters of the serial genetic particle swarm optimization (GA-PSO) algorithm and planning its operation process, mutual inductance and load identification is achieved at any phase-shifted angle. Then the phase-shifted angle is adjusted according to the identification results, and the constant output voltage control of the system is realized. The accuracy of the parameter identification method and phase-shifted constant output voltage control is verified by simulation and experiment. The maximum relative error of mutual inductance identification is 3.17%. And the maximum relative error of the load identification results is 5.87%. The maximum error between the output voltage and the set value is 3.5%.