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Research on Robustness of Charging Station Networks under Multiple Recommended Charging Methods for Electric Vehicles

Lei Feng1, Miao Liu1, Yexun Yuan1, Chi Zhang2, Peng Geng1,*

1 School of Information and Communication Engineering, Nanjing Institute of Technology, Nanjing, 211167, China
2 School of Automation, Nanjing Institute of Technology, Nanjing, 211167, China

* Corresponding Author: Peng Geng. Email: email

Journal on Internet of Things 2024, 6, 1-16. https://doi.org/10.32604/jiot.2024.053584

Abstract

With the rapid development of electric vehicles, the requirements for charging stations are getting higher and higher. In this study, we constructed a charging station topology network in Nanjing through the Space-L method, mapping charging stations as network nodes and constructing edges through road relationships. The experiment introduced five EV charging recommendation strategies (based on distance, number of fast charging piles, user preference, price, and overall rating) used to simulate disordered charging caused by different user preferences, and the impact of the network dynamic robustness in case of node failure is explored by simulating the load-capacity cascade failure model. In this paper, two important metrics for evaluating network robustness are selected: the relative size of the maximum connected subgraph and the network efficiency. The experimental results point out that in the price recommendation strategy, the network stability significantly decreases when the node failure ratio reaches 75.4%, while the fast charging quantity recommendation strategy significantly decreases when the node failure ratio is 62.3%. Therefore, the robustness of the charging station network is best under the price recommendation, while the network robustness is poor under the fast charging quantity recommendation.While the network robustness is poor under preference recommendation. Based on this finding, this study particularly emphasizes that in the process of improving the robustness of the charging station network, it is necessary to comprehensively consider the market demand and guide users to charge in an orderly manner by reasonably adjusting the price strategy. This strategy not only effectively prevents network stability problems that may result from disorderly charging behavior, but also enhances the ability of the charging network to resist node failure and improves the overall dynamic robustness of the network.

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Cite This Article

APA Style
Feng, L., Liu, M., Yuan, Y., Zhang, C., Geng, P. (2024). Research on robustness of charging station networks under multiple recommended charging methods for electric vehicles. Journal on Internet of Things, 6(1), 1-16. https://doi.org/10.32604/jiot.2024.053584
Vancouver Style
Feng L, Liu M, Yuan Y, Zhang C, Geng P. Research on robustness of charging station networks under multiple recommended charging methods for electric vehicles. J Internet Things . 2024;6(1):1-16 https://doi.org/10.32604/jiot.2024.053584
IEEE Style
L. Feng, M. Liu, Y. Yuan, C. Zhang, and P. Geng, “Research on Robustness of Charging Station Networks under Multiple Recommended Charging Methods for Electric Vehicles,” J. Internet Things , vol. 6, no. 1, pp. 1-16, 2024. https://doi.org/10.32604/jiot.2024.053584



cc Copyright © 2024 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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