research-article

Research on new energy vehicle charging safety monitoring platform based on DTW time clustering algorithm

Authors:

Chao Liu,

Rui Hong Zang,

Ying Xin,

Yu WangAuthors Info & Claims

HP3C '22: Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications

Pages 207 - 210

https://doi.org/10.1145/3546000.3546032

Published: 19 August 2022 Publication History

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HP3C '22: Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications

Research on new energy vehicle charging safety monitoring platform based on DTW time clustering algorithm

Pages 207 - 210

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Abstract

With the widely use of new energy vehicles, charging safety has increasingly become a topic of public concern. Based on the analysis of the factors which affect charging safety, this paper proposes to build a charging safety monitoring platform to realize real-time charging monitoring and improve the charging safety of new energy vehicles. Based on DTW time clustering monitoring model and temperature management model, the platform monitors the abnormal conditions of temperature, electric quantity and voltage, and realizes the monitoring and early warning of abnormal conditions such as no power charging, temperature mutation, current abnormality, instantaneous overvoltage / overcurrent.

References

[1]

Zhang Jing, Shi Wei, Zhang Yuanxing, Safety factors and dynamic early warning of electric vehicle charging process [J]. Power technology, 43 (5): 4

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[2]

Qian Lijun, Zhao Mingyu, Zhang Weiguo. A design method of electric vehicle charging safety early warning model [J]. Power grid and clean energy, 2016, 32 (012): 114-119

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[3]

Tao Yang, Deng Xing, Yang Feiyue, Hierarchical clustering algorithm based on DTW distance measurement [J]. Computer engineering and design, 2019, 40 (01): 124-129

Google Scholar

[4]

He Zhijing, Liu Mao. Electric vehicle charging safety analysis and solution research [J]. Shandong industrial technology, 2017 (13): 47-47

Google Scholar

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HP3C '22: Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications

June 2022

221 pages

ISBN:9781450396295

DOI:10.1145/3546000

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 August 2022

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HP3C'22

HP3C'22: 2022 6th International Conference on High Performance Compilation, Computing and Communications

June 23 - 25, 2022

Jilin, China

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Indices System of Charging Safety for Electric Vehicles

Research on charging control of battery pack in low temperature environment

Electric bikes charging anomaly detection from alternating current side based on big data

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