1. School of Automation, Wuhan University of Technology, Wuhan 430070, China; 2. Taiyuan Power Supply Company of State Grid Shanxi Electric Power Company, Taiyuan 030012, China; 3. State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology), Wuhan 430074, China

This paper researches the optimal electric vehicle charging and navigation strategy from the following four aspects: electric vehicle user, electric power company, charging station operators and traffic management department. It puts forward “vehicle-grid-road-station” multi-objective optimization and orderly charging navigation system. Based on the system, this paper establishes integrated optimal model by fuzzy decision method, which achieves the highest user's income, the lowest voltage deviation and network loss, the highest load balancing index, the highest profit for charging station operators, and the lowest traffic congestion. With nine charging stations that evenly distributed in the traffic network and IEEE 14-bus system as the test cases, optimization results indicate that the smart charging service strategy is reasonable and effective.