| So far,the electric vehicle industry,as a member of the country’s vigorously developed new energy industry,has gradually been on the right track.While the electric vehicle industry is developing rapidly,it also brings new challenges to urban development.The current charging facilities have been unable to meet the growing demand for charging electric vehicles.Therefore,this paper studies the regional charging demand forecast of electric vehicles,the collaborative charging behavior of electric vehicles,and the location and capacity planning of charging stations.The research on the regional charging demand forecast of electric vehicles,the collaborative charging behavior of electric vehicles,and the location and capacity planning of charging stations involve many factors.Among them,the regional charging demand forecast mainly involves factors such as the growth of urban electric vehicle ownership and user travel behavior.Based on big data statistics,this paper combines the initial charging time,charging start SOC and charging end SOC in user travel behavior to model,and get a better regional charging demand prediction model.Based on the results of this model,a collaborative charging model based on real-time road information sharing mechanism to consider user regret is established,which plays a certain role in improving user charging satisfaction.Finally,based on the IA-PSO immune particle swarm optimization algorithm for charging station location and capacity optimization,an optimization strategy is proposed for the case from three different aspects: investors,users,and environmental protection. |
