@Article{jiot.2024.053584,
AUTHOR = {Lei Feng, Miao Liu, Yexun Yuan, Chi Zhang, Peng Geng},
TITLE = {Research on Robustness of Charging Station Networks under Multiple Recommended Charging Methods for Electric Vehicles},
JOURNAL = {Journal on Internet of Things},
VOLUME = {6},
YEAR = {2024},
NUMBER = {1},
PAGES = {1--16},
URL = {http://www.techscience.com/jiot/v6n1/57452},
ISSN = {2579-0080},
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.},
DOI = {10.32604/jiot.2024.053584}
}