Navigation Strategy for Electric Vehicle Charging Based on Traffic-Power Network Information

In the urban power distribution network and traffic network, electric vehicles have three attributes of “mobility, load and power”. Disorderly charging of large-scale electric vehicles will affect the operation of power grid and traffic congestion. Therefore, an EV charging navigation strategy based on the combination of traffic-power information is proposed. Firstly, according to the characteristics of urban roads, a “time-flow” road resistance model considering road impedance and intersection node impedance is proposed. Then, combined with the concept of travel chain, the Monte-Carlo method was used to simulate the travel activity and charging process of large-scale EV in one day. Finally, four scenarios with different optimization strategies were simulated for the navigation system. The results show that proposed strategy can achieve coordinated and optimized management of transportation network, distribution network and EV users, such as balancing the traffic flow of each section, avoiding the capacity limit of charging stations, and reducing the charging queue time of EV users, which has strong practicability.