With the development of dynamic wireless supply system for electric vehicles(EVs)

the higher initial investment cost has aroused more and more concerns. Based on it

a planning method of dynamic wireless supply system for EVs based on particle swarm genetic algorithm(PSGA)is presented. The driving characteristics of EVs and features of energy storage devices are first analyzed. Then the mathematical model of optimal planning for EV's dynamic wireless supply system is built by taking the energy of energy storage devices and the length of the power supply rail as the constraints

and the minimum investment cost of EV's dynamic wireless supply system as the target. In view of the complexity of the model

the PSGA is used to solve the model. The algorithm uses the particle swarm optimization algorithm to retain the individual experience information to improve the crossover operation of genetic algorithm

and improves the search efficiency and precision of the algorithm. Through the analysis of the example

the validity of the proposed method is verified.