Author(s)

Jia Xu, Jing Li, Xin Liao, Changping Song

School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China.

The construction of charging service facilities is a very important factor in the popularization of electric vehicles. Therefore, the planning problems of electric vehicle charging station are urgent to be solved. Considering the standard of natural environment, society, traffic, power grid and economy, an evaluation system is created for electric vehicle charging station project through 15 sub-standards. Planning model of charging station is constructed based on BP neural network adopted in the analysis. It is used for location and capacity prediction of charging station planning. By analyzing the model with data samples, a stable network structure is established and the feasibility of the model is verified in the charging station planning.

Electric Vehicle Charging Station, BP Neural Network, Location, Capacity Prediction

Xu, J. , Li, J. , Liao, X. and Song, C. (2019) A Prediction Method of Charging Station Planning Based on BP Neural Network. Journal of Computer and Communications, 7, 219-230. doi: 10.4236/jcc.2019.77018.