基于PSGA的电动汽车动态无线供电系统优化布局

Optimal Planning of Dynamic Wireless Supply System for Electric Vehicles Based on Particle Swarm Genetic Algorithm

随着电动汽车动态无线供电系统的不断发展,其较高的初始投资费用越来越引起关注。基于此,提出了一种基于粒子群的混合遗传算法(PSGA)的电动汽车动态无线供电系统规划方法。首先分析了车辆行驶特性及储能装置特性,而后以储能装置能量和供电导轨长度等为约束,以电动汽车动态无线供电系统投资成本最小化为目标,建立了电动汽车动态无线供电系统优化布局的数学模型。针对建立模型的复杂性,采用PSGA对该模型进行求解。该算法利用粒子群算法中保留个体经验信息的操作来改进遗传算法中的交叉操作,提升了算法的搜索效率和精度。通过对算例的分析,验证了所提方法的有效性。

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.