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Issue title: Fuzzy Logic based Decision Making
Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu
Article type: Research Article
Authors: Cui, Yasong | Gao, Chunbin*
Affiliations: Jilin Engineering Normal University, Jilin 130052, China
Correspondence: [*] Corresponding author: Chunbin Gao, Jilin Engineering Normal University, Jilin 130052, China. E-mail: [email protected].
Abstract: To improve the pile charge efficiency of EVs, this paper develops and primarily designs a pile charge management system architecture for Electric Vehicles (EVs) based on the Internet of Things (IoT), data information storage, and the like. After the test, the system proposed in this paper beats the target as preset thanks to its high availability. This technology can facilitate the management process for the operators and improve the human-computer interaction experience for the consumers, hence to benefit the advancement and development of the EV industry.
Keywords: Electric vehicle, pile charge management, artificial intelligence, Internet of Things
DOI: 10.3233/JCM-191021
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 149-155, 2019
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