Reinforcement Learning based Charging Station Management for Electric Vehicles

Electric vehicles (EV) are emerging as a promising transportation medium because they provide better energy efficiency and are more environmentally friendly compared to gasoline-fueled vehicles. However, long charge times and low charger coverage hinder EV charging services. To overcome these problems, this paper proposes a reinforcement learning (RL) based optimal management policy that can maximize the utilization of EV chargers while guaranteeing quality of service. The proposed RL based scheme learns the arrival pattern of EVs and adjusts the service area of each charging station in a dynamic environment.