Strategies for setting electric vehicle charging service fees considering user psychology

To increase the average revenue of charging stations and reduce the travel cost of electric vehicle (EV) users, this paper proposes a strategy for setting charging service fees based on the psychology of EV users. Firstly, through the real-time traffic flow of urban traffic network, the flow-impedance model between traffic network nodes is constructed, the driving time of each road section of the road network is calculated; secondly, the charging station selection model based on regret theory is proposed by considering the driving and charging time and charging service fee of EV users; finally, the Hotelling model is introduced to analyze the distribution characteristics of charging demand influenced by charging service fee and develop The pricing scheme of charging service fee for target charging stations is formulated. Taking the 24-node traffic network of Sioux Falls as an example, simulation analysis verifies the rationality and effectiveness of the proposed strategy.