Research On The Optimal Configuration Of Electric Vehicle Charging Facilities Based On User Behavior Characteristics

In recent years,with the rapid economic development,the energy problems and environmental pollution brought about by it have become increasingly severe.Among them,the exhaust of motor vehicles is the main cause of urban pollution.Therefore,the popularity of electric vehicles is imperative.However,the popularization and promotion effect of electric vehicles mainly depends on the completeness of the supporting facilities of electric vehicles,Only planning and constructing convenient charging facilities can contribute to the large-scale popularization of electric vehicles.This paper studies the optimal configuration of electric vehicle charging facilities based on user behavior characteristics.The specific work is as follows:(1)Analyzing the impact of user behavior habits on grid load and user charging requirements.For the impact of grid load,the user's delayed charging and the analysis of the impact on the grid load when the user uses different power charging are given;for the user's charging demand,the user's charging requirements based on the different residual SOC are given and based on the user's trip chain.Electric vehicle demand analysis.(2)The disposition of distributed charging piles was studied.Firstly,according to the user's psychological behavior habit of remaining SOC tolerance,the probability that the user has the charging demand is derived,and the method of calculating the ratio of the slow charging pile of the vehicle is analyzed;secondly,the user is led according to whether the user can reach the destination with the charging of the slow charging pile.The probability of charging demand of fast charging piles was analyzed,and the method of calculating the distribution proportion of fast charging piles is analyzed.The calculation example verify the feasibility of the method.(3)A method for selecting the location and capacity of a centralized electric vehicle charging station is proposed.The method firstly proposes a method for predicting the charging demand of the electric vehicle based on the user's trip characteristics.Then,based on the simplified model of the traffic network,an objective function is established with the goal of accumulating the sum of the charging demand at the node of the road network and the distance of the charging station.The model is solved by the immune algorithm to determine the location and capacity of the charging station.The feasibility of the method is verified by an example,which provided a theoretical guidance for the location selection of the electric vehicle charging station.