Model of Charging Stations Construction and Electric Vehicles Development Prediction

被引:0
|
作者
Zhang, Qilong [1 ,2 ]
Qiu, Zheyong [3 ]
Song, Jingkuan [1 ,2 ]
机构
[1] Guizhou Univ, Guizhou Prov Key Lab Publ Big Data, Guiyang 550025, Guizhou, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Future Media, Chengdu, Peoples R China
[3] Hangzhou Dianzi Univ, Hangzhou, Peoples R China
来源
关键词
Cooperative Covering Model; Logistic Growth; Queuing Theory; K-means;
D O I
10.1007/978-3-030-33982-1_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Electric vehicle is attracting more and more people and the construction of charging stations is becoming very important. Our paper mainly deals with the construction of charging stations and electric vehicles market penetration. First, through the relationship between charging stations and gas stations quantitatively in America, we evaluate 501,474 charging stations will be built in 2060, among which there is 334,316 supercharging stations and 167,158 destination-charging stations. Second, we study the optimal distribution of charging stations in South Korea, and establish a bi-objective programming based on Cooperative Covering model with the help of Queue Theory. Combining these two models we find the optimal number of charging stations is 30,045. Thirdly, we use logistic growth model to estimate the growth of charging stations. We predict that South Korea will achieve 10% electric vehicles in 2030, 30% in 2036, and 50% in 2040. Combining factors of charging stations, national policies and international initiatives, etc. we infer South Korea will realize all electric vehicles in at latest 2060. Lastly, we utilize K-means to classify those countries into three classes.
引用
收藏
页码:92 / 104
页数:13
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