Optimal Electric Vehicle Charging Scheduling by Matching Theory and Repeated Game

Abstract

In this paper, the driver chooses the optimal charging station and determines the optimal energy demand when the highway enters, with the charging station and the electric vehicle controlled. The purpose of this study is to propose optimal charging scheduling. In previous studies, we considered that the charging price was not included in the driver's preference and also the price of the charging station was not optimal. In this paper, the price is included in the preference when the driver selects the charging station, and the optimal price for maximizing the profit is determined by a repeated game by designing the new utility function of the charging station. We theoretically prove the conditions under which repeated game converges, and finally perform numerical simulations to confirm the effectiveness of the proposed algorithm in a more realistic situation than in previous studies.