Planning and Simulation of Mobile Charging for Electric Vehicles Based on Ant Colony Algorithm

Abstract

The popularization of electric vehicles has a close relationship with the construction of charging infrastructure. However, the fixed charging stations are not flexible enough for their limited number and distribution. To promote the mobile charging as supplementary, a planning method of mobile charging for electric vehicles is proposed in this paper. Firstly, the roads are described as a series of nodes with certain topology. Then, the planning based on ant colony algorithm is conducted. For the simultaneous charging requests from multiple uses, the optimal charging point is determined and the paths for electric vehicles are provided. Finally, the mobile charging is simulated by taking the roads around Tianfu Square in Chengdu as an example, and the simulation result is visualized on an application developed on Android platform.