Author(s)

Xiaolin Zhou, Ziheng Jiao and Jinlin Hu

Corresponding Author

Xiaolin Zhou

ABSTRACT

In order to realize the comprehensive application of electric vehicles, we have established models in turn, and then determine the the key factor in the development of electric vehicles. The final network of charging stations needs to achieve the minimum cost of building stations and the most convenient charging, so we established an optimization model of the distribution of charging stations. We describe it as a 0-1 planning problem. According to the characteristics of the two charging stations, a distribution model is established separately. Among them, the super charging stations are all built along the highway, and the distance of the station is determined by the two indicators of traffic volume and the importance of the section of the highway, which is measured by the number of edges in the complex network. The improvement is in selecting the right site in the final network. The development of electric vehicles can be seen as a process of competition with traditional cars, so a competitive exclusion model can be used to establish an electric vehicle development model, and the relationship between the two's inherent growth rates is used to determine the competitive advantages of the two. We selected the country's per capita GDP, population density, pollution index and Gini coefficient as factors affecting the national electric vehicle development model, using distance to measure the similarity between various countries, and establishing a classification model based on q-type cluster analysis.

KEYWORDS

Electric Vehicles; Comprehensive Application; 0-1 Planning; Cluster Analysis