A fuzzy logic based charging scheme for electric vechicle parking station

摘要

A real-time charging scheme with vehicle-to-grid (V2G) capability is developed in this paper to manage the aggregated charging loads of electric vehicles (EVs) in a parking station. To ensure the charging fairness of all connected EVs is satisfied, a fuzzy inference system is proposed to determine the charging or discharging priority level of each EV based on the associated remaining charging time, state-of-charge (SOC) level of battery, and the dynamic electricity tariff. With these priority levels, a computational efficient optimization approach is formulated with linear programming (LP) to obtain the optimal charging or discharging rate of each EV at each scheduling period subjected to the installation capacity of parking station. Extensive simulation results show that the optimal charging schedules obtained could both satisfy the EV charging demands and minimize the charging cost.