Open AccessResearch and Analysis on the Use of 5G and Big Data in Urban Electric Vehicle Public Charging Networks
Author(s) -
Feng Guo,
Yawen Wang,
Guoru Deng,
Rongtao Liao,
Yu Zheng,
Tianjun Zhou,
Bo Jin,
Jinhui Zhao,
Dan Xiao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/2/022136
Subject(s) - electric vehicle , big data , china , charging station , transport engineering , pile , computer science , automotive engineering , telecommunications , engineering , power (physics) , physics , quantum mechanics , algorithm , political science , law , operating system
In recent years, the electric vehicle sales market has been expanding, but the existing urban electric vehicle public charging network system is not optimistic. Most of the researches on the construction of charging facilities and charging network are still at the stage of qualitative analysis. This paper uses the method of questionnaire survey to investigate the current situation of electric vehicle public charging network system in China. Using 5g new technology and big data technology for research and analysis, from the city level, we can explore whether the establishment of electric vehicle public charging network is feasible. The big data analysis technology can not only promote the efficiency construction of charging pile network, but also improve the user experience of charging pile charging station. At the same time, it also increases the application scenarios of charging pile network, which is not only of great significance to the development of the entire electric vehicle industry, but also greatly promotes the rapid development of the city.