| Electric vehicles have the characteristics of environmentally friendly and energy saving.In recent years,electric vehicles have been widely recognized worldwide and have been vigorously promoted in many countries.With the development of the electric vehicle industry in China,the problem of charging of electric vehicles has gradually emerged and has become a bottleneck restricting the development of the electric vehicle industry.The long charging time of electric vehicles,the insufficient number of urban charging piles and the uneven distribution of urban charging station are the direct reasons of the charging problem.How to solve the charging problem of electric vehicles is of great significance for the development of the electric vehicle industry,for improving social efficiency and building a beautiful China.This paper proposes an electric vehicle charging scheduling algorithm to solve the charging problem of electric vehicles.The algorithm comprehensively considers the road conditions and charging station conditions to perform unified scheduling of vehicles that need to be charged.This algorithm can avoid congestion,which in turn can reduce the charging time of the vehicle.The main research contents of this paper are as follows:1.The article analyzes the charging behavior of electric vehicles,establishes the electric vehicle charging time-consuming equation,and establishes the electric vehicle charging scheduling model.The time the electric vehicle spends on charging can be calculated using the equation.The charging scheduling model provides specific scheduling scenarios for the scheduling algorithm.2.In this paper,particle swarm algorithm is used to schedule the charging of electric vehicles,and good results have been achieved.The article also improves the charging algorithm to achieve better results.3.We introduce the GA algorithm,SA algorithm and dimensional learning strategies into the algorithm to improve the efficiency of the scheduling algorithm by analyzing the characteristics of the PSO algorithm.Simulations were carried out through design experiments.The experimental results show that the above optimization algorithm can well solve the problem of vehicle charging scheduling. |
