Charging Station Demand Assessment Method based on Regional Development Difference Information

Qichuan Kang

School of Biomedical Engineering, The Fourth Military Medical University, Xi'an, 710000, China

Abstract: Whereas the degree of development in the region is consistent with the trend in demand for charg-ing stations, this paper proposes a grey relational assessment model based on regional development difference information to assess the requirements of charging stations, and derives the proportion of rural suburbs in the suburban rural areas that can be referenced by the decision makers of the charging station network. Due to the different dimensions of the data used in the indicators, we selected various indicators in the less-developed regions as reference values to standardize the index values to incorporate the indicators into a comprehensive evaluation system. The urban suburbs of the United States are selected as an example to optimize the network layout of the charging stations, which has guiding significance for the distribution of the number of charging stations in rural areas in rural China.

Keywords: Distribution of charging stations; Grey Relational Analysis; Numerical standardization