Abstract: The mathematical model of magnetic coupled resonant wireless power transfer（MCR-WPT）

system based on LCC-S compensation topology was established. Meanwhile，the influence on the transmission

performance of the system was analyzed from three aspects：operating frequency，compensating inductance and

load impedance. Aiming at the problem that the parameters of higher-order compensation topology are difficult to

achieve the optimal configuration，taking improving the transmission efficiency of the system as the optimization

objective，and taking output power as the constraint condition，the optimization model was established to optimize the optimal configuration of high-order nonlinear parameters. A hybrid particle swarm optimization（HPSO）algorithm based on population evolution was proposed to avoid the optimization result falling into local optimum.The traditional PSO algorithm and the improved algorithm were simulated and compared based on the LCC-S type wireless power transfer（WTP）system optimization. The result shows that the improved HPSO algorithm can effectively avoid the optimization result falling into local optimum. Finally，the experimental platform of WPT system was built，and the operating frequency characteristics and load impedance characteristics of the system were analyzed experimentally. The experimental results are consistent with the theoretical analysis and simulation optimization results.

      Key words: wireless power transmission（WTP）；compensation topology；particle swarm optimization（PSO）；nonlinear optimization