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Model of Charging Stations Construction and Electric Vehicles Development Prediction

  • Qilong ZhangEmail author
  • Zheyong Qiu
  • Jingkuan Song
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11809)

Abstract

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.

Keywords

Cooperative Covering Model Logistic Growth Queuing Theory K-means 

Notes

Acknowledgements

This work is supported by Major Scientific and Technological Special Project of Guizhou Province(20183002), and I have learned a lot from the writing of this paper. I would like to thank professor Qiu and Song for their tireless teaching and correcting my mistakes.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Guizhou Provincial Key Laboratory of Public Big DataGuiZhou UniversityGuiyangChina
  2. 2.Center for Future MediaUniversity of Electronic Science and Technology of ChinaChengduChina
  3. 3.Hangzhou Dianzi UniversityHangzhouChina

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