Layout Evaluation And Incentive Mechanism Design For Electric Vehicle Charging Pile Based On Charging Sharing

China has extensive achievements in the infrastructure,marketing and standardization of the EV industry,including an improved operational environment.However,factors including mileage(battery life),charging time,charging convenience,purchasing price,and vehicle performance hinder the development of the EV industry.By looking deep into studies,we found that a variety of factors have been considered such as charging accessibility,types of circuits,voltage drawn,circuit load,charging time,electricity price and cost in an effort to solve the charging station location problem.Currently,we take these factors as constants(exogenous variables),because they are known for PUEVs.However,there is a gap in the literature related to endogenous variables such as demand priority,mileage,EV distribution and passenger distribution,and we notice that any changes to the factors will influence the reusability of the model.The convenience,economy and safety of the charging system directly influence and determine the development process of electric vehicles.In the entire industrial chain of electric vehicle development,charging piles are undoubtedly an important part of the industrial chain and the basis for the development of the electric vehicle industry.Thus,the model should follow an ecological modeling approach: an analytical model is proposed that forms the base of the research problem;and we present the Anylogic simulation models;then we verify the model through simulations with the case of Beijing;The design of incentive contracts under different risk preferences of electric vehicle pile enterprises and the changes of income during construction are studied;Finally,conclusive remarks are presented.Main contents are:(1)The research describes the electric vehicle charging station,electric vehicle(it referred to electric taxis in this thesis),and passengers(destinations);and propose three charge modes based on the charging station location;then analyze the influencing factors of location selection from the aspects of car-passenger restraint,vehicle resource priority,charging mode,route selection and customer service level.(2)The research introduces the parameters,objective function and model constraints for the problem of EV location optimization.The Cplex model is then used to analyze the solution.However,Cplex has a time limit for solving multi-agent and multi-parameter models.In the meantime,considering the nature of the problem solution,we propose Agent theory to test and solve the model.Thereserach puts forward the factors affecting the location selection of charging piles.The research proposes to analyze key factors’ influence on the access frequency of charging piles based on variance analysis.(3)The research uses an Agent-based method to model and solve the location problem of EV charging station.Anylogic simulator is developed to build electric vehicle Agent and destination Agent.The characteristics of each Agent,the optimization process of electric vehicle Agent and the optimization algorithm of charging station location are also described.Finally,the case study of Beijing can help to provide data base for the location of charging station in urban area.(4)The use of variance analysis to obtain demand priority is not a key factor affecting the location selection of electric vehicle charging piles.The mileage,electric vehicle distribution and demand distribution are the key factors affecting the position of electric vehicle charging piles.Through modeling and simulation analysis,some found that some charging piles are used frequently,and some charging piles are used at a relatively low frequency.Therefore,the existing charging pile layout in the case is not reasonable.The density of charging piles in some areas should be increased,and the number of charging piles in some areas should be reduced.(5)The research uses principal-agent method to design a mathematical model of incentive contracts for the asymmetric information problem between government and electric vehicle enterprises,and study the design of incentive contracts under different risk preferences of electric vehicle enterprises.The research shows that the agency cost borne by electric vehicle enterprises is positively related to risk appetite and external uncertainties.After the EV electric enterprise technology investment is listed as a contract,the incentive cost,risk cost and agency cost of electric vehicle enterprises are obtained.Finally,the conclusion was verified by numerical simulation.The innovations may include:(1)The standard for the evaluation of the layout of public charging piles for electric vehicles is proposed.The research puts forward the problem of electric vehicle charging pile layout,that is,within a certain time and space,according to the car’s own power situation,the charging pile and the location of the user’s demand,etc.,and the decision-making problem of minimizing the running distance of the car is finally determined according to the electric vehicle.Access to the charging pile frequency provides a basis for the scientific layout of the charging pile.In the case of ensuring the minimum number,the goal of charging pile position optimization is that the variance of the demand frequency of each charging pile user is not much different.(2)An optimization algorithm system for the public charging pile layout of electric vehicles is established.On the basis of clarifying the factors affecting the layout of electric vehicle charging piles,such as automobile-user demand constraints and automobile resource priority,the thesis establishes a model with the minimum total running distance of the vehicle as the objective function;the optimization algorithm of electric vehicle charging process is proposed.Based on the data of Beijing area for simulation research;the influence of key factors of variance analysis on the location selection of electric vehicle charging piles.(3)The mathematical model as well as benefit distribution mechanism of incentive contract is designed for the asymmetric information problem between government and electric vehicle pile enterprises.The design of incentive contract under different risk preferences of electric vehicle pile enterprises and the change of income in the construction process are studied.The principal-agent model for optimizing the layout of electric vehicle charging piles is constructed.The green of electric vehicle pile enterprises is considered in the contract.The technology input analyzes the mechanism of the joint development of the government and electric vehicle pile enterprises.