A Load Forecast Method for Fast Charging Stations of Electric Vehicles on the freeway considering the information interaction

摘要

A load forecast method for fast charging stations (FCSs) of electric vehicles (EVs) on the freeway considering the information interaction is proposed. Firstly, an EV travelling simulation model is proposed to obtain the optional FCSs and the time arriving at the corresponding FCS. A queuing model is proposed to determine the estimated average waiting time of each FCS. Then, in order to minimize the time cost of the EV user, an active charging choice model for EV users is proposed to determine the selected FCS and the time arriving at the corresponding FCS based on the information interaction. Finally, the charging load of each EV FCS is determined considering the impacts from the information interactions between the EV users and the FCSs. Simulation results show that the information interaction has a significant impact on the charging load allocation among the different FCSs.