Analysis of Formation Process of Charging Reservation Behavior Type Composition of Electric Vehicle Users by Machine Learning

Abstract

With the spread of electric vehicles, congestion at the charging station is concerned. In order to improve the congestion, the charging station reservation system has been proposed. However, there is little information on its effectiveness because the system has been rarely introduced yet. In this paper, the authors aim at obtaining knowledge regarding it. Three types of charging reservation behavior were dened based on a demonstration experiment and the impact of the composition of these types was analyzed. The simulation results showed that there is an optimum composition of charging reservation behavior types in a specic environment. In addition, we proposed a learning model that adaptively changes the conguration of the charging reservation behavior type of the EV, and analyzed the formation process of the charging reservation behavior type composition in a specic environment.