Wang, J., Wang, C., Deng, H., Huang, H. and Li, L. (2020) Electric Vehicle Charging Detection and Early Warning System Based on Internet of Thing. 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 650-654.

has been cited by the following article:

• TITLE: Charging Station of Electric Vehicle Based on IoT: A Review

  AUTHORS: Mahmood H. Qahtan, Emad A. Mohammed, Ahmed J. Ali

  KEYWORDS: State Of Charge (SOC), Electric Vehicle, Internet of Things (IoT), Charging Station, Battery Management System (BMS), Renewable Energy Resources

  JOURNAL NAME: Open Access Library Journal, Vol.9 No.6, June 1, 2022

  ABSTRACT: At present, humans face the problem of lack of fuel and environmental pollution to reduce pollution as well as fuel consumption. We have to use electric vehicles, but the spread of these vehicles is still low due to the lack of charging stations as well as their high prices. This paper reviews important research about charging stations with IoT and the charging type used in these stations, and it makes a comparison between them, as well as the sources for these stations, which may be renewable and non-renewable energy. Using IoT saves the time spent by the user looking for the stations’ location with the possibility of knowing the location of charging stations by using a mobile application, as well as the possibility of placing charging stations in public places and parking stations, thus making it easier to move to the use of these new vehicles.