| Issue |
E3S Web Conf.
Volume 237, 2021
3rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 4 | |
| Section | Energy Conservation and Emission Reduction, Energy Science | |
| DOI | https://doi.org/10.1051/e3sconf/202123702013 | |
| Published online | 09 February 2021 | |
Research on charging safety and early warning of intelligent networked electric vehicles
Marketing Service Center, State Grid Tianjin Electric Power Company, 300000 Tianjin, China
* Lei Li: leili@tj.sgcc.com.cn
With the continuous reduction of renewable resources and the increasing awareness of environmental protection, the phenomenon of replacing oil with electricity has become more and more common. Electric vehicles are an obvious example. In the past few years, electric vehicles have developed rapidly and become more and more popular in people’s lives. However, imperfect technology has caused frequent safety accidents. The main reason for this is the charging safety risk. In this paper, there are many complex factors affecting the charging safety of electric vehicles in terms of the safety of electric vehicle charging and the energy and data exchange direction between charging piles and electric vehicles. Based on the analysis of the factors that affect the charging safety of electric vehicles, this paper combines big data technology to study the charging safety of electric vehicles.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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