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Research on Ratio of New Energy Vehicles to Charging Piles in China

Zhiqiu Yu*, Shuo-Yan Chou

Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan

* Corresponding Author: Zhiqiu Yu. Email: email

(This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)

Computer Systems Science and Engineering 2022, 42(3), 963-984. https://doi.org/10.32604/csse.2022.023129

Abstract

With the widespread of new energy vehicles, charging piles have also been continuously installed and constructed. In order to make the number of piles meet the needs of the development of new energy vehicles, this study aims to apply the method of system dynamics and combined with the grey prediction theory to determine the parameters as well as to simulate and analyze the ratio of vehicles to chargers. Through scenario analysis, it is predicted that by 2030, this ratio will gradually decrease from 1.79 to 1. In order to achieve this ratio as 1:1, it is necessary to speed up the construction of public charging station or private charging station. Due to global warming, the attitudes of countries towards fuel vehicles have become increasingly tough. There is huge uncertainty in the growth rate of electric vehicles. Therefore, it is recommended that the construction of charging station be deployed in advance to avoid hindering the development of electric vehicles in the future.

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Cite This Article

APA Style
Yu, Z., Chou, S. (2022). Research on ratio of new energy vehicles to charging piles in china. Computer Systems Science and Engineering, 42(3), 963-984. https://doi.org/10.32604/csse.2022.023129
Vancouver Style
Yu Z, Chou S. Research on ratio of new energy vehicles to charging piles in china. Comput Syst Sci Eng. 2022;42(3):963-984 https://doi.org/10.32604/csse.2022.023129
IEEE Style
Z. Yu and S. Chou, "Research on Ratio of New Energy Vehicles to Charging Piles in China," Comput. Syst. Sci. Eng., vol. 42, no. 3, pp. 963-984. 2022. https://doi.org/10.32604/csse.2022.023129



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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