1.Northeastern University;2.Northeastern University at Qinhuangdao
The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
Abstract: The popularity of electric vehicles (EVs) is leading to a revolution in transportation electrification, and the random transport and charging behaviour of electric vehicles will promote the deep coupling between traffic network and power grid. Based on the new achievements such as big data analysis, EV-Road network and EV-Power grid, the progress of traffic electrification is systematically summarized. In this review, the data prediction methods of traffic-power system are summarized firstly, along with their basic features, advantages and limitations. Secondly, the scheduling problem of electric vehicles in traffic network is discussed, giving consideration to the endurance safety and travel service. Then, the grid load balance and EV-grid optimization are analysed based on the charging station location and charging/discharging load management. Finally, the existing problems and challenges in the process of traffic electrification are summarized, showing the promising development directions for future research.