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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
https://wattev2buy.com/global-ev-sales/south-korean-ev-market-ev-sales-south-korea/. Last accessed 4 July 2019.
- 2.
- 3.
https://www.motorgraph.com/news/articleView.html?idxno=11376. Last accessed 4 July 2019.
References
Wikipedia. https://en.wikipedia.org/wiki/Tesla_Supercharger. Last accessed 4 July 2019
Wu, L.: The research of electric vehicle charging station based on GMCLP, pp. 26–30 (2016)
Kuby, M.J., Lim, S.: The flow-refueling location problem for alternative-fuel vehicles. Socio-Econ. Plann. Sci. 39(2), 125–145 (2015)
Lili, L., Xubo, G., Yibin, Z.: Development of electric vehicles: opportunities and challenges for power grid companies. In: Proceedings of the Fifth China International Power Supply Conference, pp. 1–7 (2012)
Lim, S., Kuby, M.J.: Heuristic algorithmsfor siting alternative fuel stations using the flow-refueling location model. Eur. J. Oper. Res. 204(1), 51–61 (2010)
Zhang, Y.: Chinese Expressway (2015)
Shi, D., Zhou, J.: Comparison of service areas on expressway at home and abroad (2016)
Chuanji, L.: Queuing Theory, 2nd edn. Beijing Youdian University, Beijing (2009)
South Korea Gasoline Prices. https://tradingeconomics.com/south-korea/gasoline-prices. Last accessed 4 July 2019
Pearre, N.S., Kempton, W., Guensler, R.L., Elango, V.V.: Electric vehicles: how much range is required for a day’s driving? Transp. Res. Part C: Emerg. Technol. 19(6), 1171–1184 (2011)
Figure source. https://about.bnef.com/. Last accessed 2 Feb 2018
Icct. https://www.theicct.org/blogs/staff/promoting-electric-vehicles-in-korea. Last accessed 4 July 2019
Aju Business Daily. http://www.ajudaily.com/. Last accessed 4 July 2019
Xinhua. http://inf.315che.com/n/2007_01/29650/. Last accessed 4 July 2019
South Korea’s ministry of land and oceans. http://www.mofcom.gov.cn/aarticle/i/dxfw/cj/201104/20110407486496.html. Last accessed 4 July 2019
Nie, L.: Multi-objective progressive coverage model and solution for the temporary medical waste storage site selection. China Population Res. Environ. 2015(S1), 110–112 (2018)
Zhou, Y.: Journal 2(5), 99–110 (2016)
Li, Z.: Research on urban EV charging network planning and operation based on traffic behavior, Shandong University (2014)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, Q., Qiu, Z., Song, J. (2019). Model of Charging Stations Construction and Electric Vehicles Development Prediction. In: Song, J., Zhu, X. (eds) Web and Big Data. APWeb-WAIM 2019. Lecture Notes in Computer Science(), vol 11809. Springer, Cham. https://doi.org/10.1007/978-3-030-33982-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-33982-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33981-4
Online ISBN: 978-3-030-33982-1
eBook Packages: Computer ScienceComputer Science (R0)