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Author:

Zhu, Jiangmiao (Zhu, Jiangmiao.) | Wang, Pengfei (Wang, Pengfei.) | Wang, Huanning (Wang, Huanning.) | Wan, Zhaotong (Wan, Zhaotong.) | Lyu, Zhongpin (Lyu, Zhongpin.)

Indexed by:

EI

Abstract:

In order to avoid the frequent charging of e-bike in the room to cause fires and cause serious fire hazards, this paper proposes a recognition algorithm for the charging current of e-bikes based on variational mode decomposition. Firstly, the current in the power network is decomposed in a variational mode, and then compared with the mode of the e-bike sample, and finally the analysis results determine whether there is an e-bike charging load in the current system. Experiments show that when e-bikes are used together with eight common household electrical devices such as computers, air conditioners, notebooks and refrigerators, the algorithm in this paper can accurately identify e-bikes. The algorithm of this paper provides a reference for the detection of residential electricity risk. © 2022 IET Conference Proceedings. All rights reserved.

Keyword:

Electric loads Air conditioning Variational mode decomposition Fire hazards Bicycles

Author Community:

  • [ 1 ] [Zhu, Jiangmiao]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Wang, Pengfei]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang, Huanning]Institute of Electromagnetic Information and Satellite Navigation, Beijing Institute of Metrology, Beijing, China
  • [ 4 ] [Wan, Zhaotong]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Lyu, Zhongpin]Faculty of Information Technology, Beijing University of Technology, Beijing, China

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Source :

Year: 2022

Issue: 18

Volume: 2022

Page: 27-31

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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