Analysis Of Electric Vehicles Trip Behavior And Charging Facilities Planning

At this stage,energy problems and environmental problems are two major problems facing the world.Electric vehicles,as a new type of environmentally-friendly transportation means,can effectively relieve the pollution in the transportation industry,so they should be vigorously promoted.Analyzing the trip behavior of electric vehicle users and conducting scientific research on the installation of charging facilities,which can better promote the application of electric vehicles.This paper designs the questionnaire to obtain the basic data of electric vehicle users' trip behavior,and uses statistical analysis,cross-analysis,and data fitting methods to establish a non-aggregate model to study the influence factors of different charging modes.Based on this,this paper also establishes the model for fast charging facilities and slow charging facilities,and uses the actual case to apply the models by designing algorithm.This paper mainly includes the following points:Firstly,this paper introduces the research background and significance from the perspectives of economy,energy,and national strategy,and it also summarizes relevant theories about the trip behavior of electric vehicles and the deployment of charging facilities installation at home and abroad.Secondly,this paper designs and issues questionnaire to obtain electric vehicle users' trip behavior data,and based on this,it establishes a non-aggregate model by statistical analysis and cross-analysis.In addition,this paper uses data fitting to study the charging time of different charging modes,and identifies the factors affecting the location of charging facilities in different modes.Thirdly,this paper takes the average annual comprehensive cost as the objective function of fast charging facilities locating model.It considers the construction costs of different road grades,different land functions,and different levels,and it also builds the model based on the ideas of the shortest path and queuing theory,which solves the model by genetic algorithm.Fourthly,it establishes the slow charging facilities locating model,which takes meeting the users' charging demand as the first goal,and minimizing the trip cost generated by the charging behavior as the second goal.Based on the maximization coverage model,the shortest path theory,and the charge demand,this paper builds the model and uses the genetic algorithm to find the best solution.Fifthly,Xicheng District of Beijing is selected as a target area for case analysis.According to the actual situation of Xicheng District,this paper determines the parameters of the fast and slow charging facilities locating model.It uses MATLAB to solve the problem.