Fuzzy Classification Based Charging Route Planning for Massive Electric Vehicles Considering Traffic Congestion

With the large-scale popularity of electric vehicles, the charging problem poses a great challenge. Therefore, it is necessary to conduct a study on unified scheduling at the macro level of transportation. This paper proposed a route planning model for massive electric vehicles charging navigation in a specified traffic network. First, the charging demand and the nodes of charging stations to be selected are considered in modeling the characteristics of each EV. The massive EVs are grouped into different groups via fuzzy classification. Secondly, a cell transmission model is used to simulate the real traffic network. Congestion is further considered by traffic flow constraints. Finally, a mixed integer planning model is established for EV path planning. The traffic network with 357 cells is used for simulation experiments. The results show that the proposed model can be adapted to the charging path planning of massive electric vehicles.