Comparison of different scenarios of users distribution among charging infrastructure in an urban area

Fast charging stations are becoming more common in cities. However, the most suitable positioning and size remain problems to be solved. The work focuses on the analysis of demand and the supply of fast recharging points in an urban area, using fuzzy models to simulate users behavior. The proposed model simulates real-world traffic situation, to obtain a “what-if” analysis of different scenarios, in which the parameters of the model were changed in turn to observe the implications on the results. Different decision models are proposed to simulate the charge policy for users distribution among the available charging point. Various charging behaviors are also compared. The results reported show that the variables involved in the charging infrastructure design strongly influence the output scenarios. The model can be a valuable tool to support decision making in an urban area.