Research on data system framework and key technologies of EV charging station maintenance

Jiaqi Liao*, Hualiang Fang, Kejun Qian, Chengke Zhou, Luyang Dai

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)
46 Downloads (Pure)

Abstract

With the increase in the utilization rate of EV (Electric vehicle) charging facilities, the perception of operation status and the intelligent maintenance have become the key technologies of charging station development. A charging station data analysis method based on the two-dimension data framework is proposed according to the power transmission characteristic and data classification. Combined with the frequency and characteristic of fault events as well as the working principle of the charging station, the hardware and software framework based on the data processing and analysis for state evaluation and scientific maintenance planning is designed. Finally, the actual operation and maintenance statistics of the electric bus charging station in Suzhou, China is taken as an example for analysis.

Original languageEnglish
Article number012026
JournalIOP Conference Series: Earth and Environmental Science
Volume342
Issue number1
DOIs
Publication statusPublished - 1 Oct 2019
Event2019 3rd International Conference on Sustainable Energy Engineering, ICSEE 2019 - Shanghai, China
Duration: 24 May 201926 May 2019

Keywords

  • charging batteries
  • computer programming
  • energy conservation
  • maintenance
  • petroleum reservoir evaluation

ASJC Scopus subject areas

  • General Environmental Science
  • General Earth and Planetary Sciences

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