Research On EV Charging Scheduling Algorithm Based On Traffic Condition Influence

Under the dual pressure of environmental pollution and resource shortage,electric vehicles driven by renewable electricity have incomparable advantages over traditional vehicles in alleviating energy crisis,reducing environmental pollution and ensuring national energy security.As a new vehicle in the future,the rapid development of electric vehicle industry has been widely concerned by the society.In the era of intelligence and informatization,how to make a reasonable and orderly charging arrangement for large-scale electric vehicles is of great practical significance for improving charging efficiency,improving user experience and saving social costs.In this paper,the charging scheduling algorithm of EV with charging demand is studied under the real road condition.On the basis of analyzing the charging behavior characteristics of vehicles,a mathematical model is established for orderly charging of electric vehicles.The specific research contents are as follows:Firstly,the classical scheduling optimization algorithm of vehicle charging is analyzed,the real road condition and scheduling optimization are combined to realize the orderly charging scheduling of vehicles under real-time road condition,and a mathematical model is established to shorten the overall charging time of the system.Second,in view of the disordered charging behavior of electric vehicles,a scheduling algorithm is proposed to arrange vehicle charging.MATLAB experimental simulation is conducted to verify that this algorithm can effectively improve the system efficiency and relieve the service pressure of charging stations.Thirdly,for the problem that the traditional scheduling algorithm has poor optimization effect in large-scale vehicle scenarios,this paper further proposes a vehicle charging scheduling algorithm based on particle swarm optimization(PSO),which is an approximate method to solve the scheduling problem.The experimental results show that the proposed algorithm is still effective in the scheduling optimization of large-scale vehicles.