The multi-frequency and multi-load (MFML) magnetic coupling wireless power transfer (MCR-WPT) system is difficult to model and analyze due to its complex structure

diverse frequency

and numerous parameters. In this paper

a multi-parameter identification method is proposed for MFML MCR-WPT systems controlled by Hybrid Modulation PWM (HM-PWM). The method constructs the primary current RMS equation and the phase difference equation between the primary voltage and current at each load frequency point

and realizes the effective identification of each load and mutual inductance parameter based on non-dominated sorting genetic algorithm Ⅱ-trust region (NSGA Ⅱ-TR). Firstly

the structure and parameter identification principle of the MFML MCR-WPT system controlled by HM-PWM are analyzed. Secondly

the system model and parameter identification equation are established

and the equation is solved precisely based on NSGA Ⅱ-TR algorithm. Thirdly

the influence of the system parameters on the identification accuracy is analyzed

and a method to improve the identification accuracy is proposed according to the impedance characteristics of the system. Finally

an experimental platform is built to validate the theory. The experimental results show that the proposed method can achieve high precision identification of each load and mutual inductance parameter in the MFML MCR-WPT system

and the maximum parameter identification error is less than 5.93%. At the same time

the maximum error of parameter identification can be further reduced to 2.38% by using the improvement method to enhance the parameter identification accuracy.