A Model For Siting Electric Vehicle Charging Stations Considering Charging Choice Behavior And Range Anxiety

As a new energy vehicle,electric vehicles have many advantages such as low pollution,low energy consumption and high energy utilization,which are highly concerned by the government,enterprises and consumers.However,the limited range of electric vehicles makes drivers easily fall into the trouble of mileage anxiety and about the use scenario of electric vehicles.Scientific and reasonable planning and construction of electric vehicle charging facilities is an effective way to alleviate drivers’ mileage anxiety and expand the use scenario of electric vehicles.Based on the classical interceptor siting model,this paper takes the public fast charging stations as the research object and the long-distance trip in the intercity highway network/national highway network as the research scenario,and considers the charging selection behavior and mileage anxiety of drivers,and conducts a research on the charging station siting problem.The main works are as follows.(1)Modeling the charging selection behavior of drivers based on cumulative prospect theory.Firstly,we introduce the cumulative prospect theory in the field of economics to describe the charging choice behavior and analyze its applicability by considering the irrational factors of drivers’ charging choice.Secondly,the factors influencing drivers’ charging choice behavior are analyzed,and the remaining mileage to the next charging station is selected as the research object,and a cost function is established according to drivers’ charging choice behavior.Finally,based on the cumulative prospect theory,the theoretical model used to describe drivers’ charging choice behavior is established through the editing stage and evaluation stage,and sensitivity analysis is conducted.(2)To explore the relationship between driver mileage anxiety and driving mileage.First,the driver’s mileage anxiety and its influencing factors are introduced,and the methods to alleviate mileage anxiety are described.Second,the sub-relationship between mileage anxiety and mileage traveled is discussed,drawing on the analytical relationship between service quality-customer satisfaction in the field of management and marketing.Finally,the concept of cumulative mileage anxiety is clarified,and the cumulative mileage anxiety function of drivers over the entire trip is given.(3)A dual-objective charging station siting model considering drivers’ charging choice behavior and mileage anxiety is established.First,at the supply level,the FRLM model is improved based on the interceptor model for path feasibility analysis.Second,at the demand level,the charging choice behavior of drivers is considered and the charging choice of drivers is taken as a constraint.The mileage anxiety of drivers is considered,and the minimum cumulative mileage anxiety of drivers in the road network is taken as the objective function.Finally,considering both supply and demand,a dual-objective site selection model considering drivers’ charging choice behavior and mileage anxiety is established,and the model is extended by adding charging station candidate location nodes in the middle of the road section,and a forbidden search algorithm is proposed to solve the model.(4)Case study.Firstly,the model is solved by using the benchmark 25-node traffic network for case analysis,and the performance of the solution algorithm is verified and analyzed by randomly selecting scenarios.Second,whether or not to consider mileage anxiety and charging choice behavior in the charging station location model are solved and compared separately,and the utility of considering both in the model is discussed.Then,the sensitivity analysis of the model is conducted by selecting the weight ratio and electric vehicle range,and the effect of the change of both values on the model solution results is discussed.Finally,an empirical analysis is carried out with the Jilin provincial highway network to test the validity of the model and algorithm in practical applications and to provide reference for the planning and construction of charging stations in the Jilin provincial highway network.