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- W4323059951 abstract "The Electric Vehicle (EV) has contributed to both the power and transportation sectors, so there should be a balance with the power sector. EV has to spend more time at the charging station than a conventional vehicle, so the charging allocation should be adequate. Still, there may be a disturbance in the charging allotment due to the charging facility or human error. So, this might be a research gap to provide a facility to all the EVs with an IoT -based monitoring system for real-time data monitoring, smooth operation, reduction of the hazard, and data for future optimization in research work. The gap, as mentioned earlier, can be reduced by using an IoT-based data monitoring system. The EV provides the user behavior regarding the SoC characteristics, which provides a road map of the charging. The charging pattern provided to the charging station gives a prerequisite for EV charging as per availability. The charging station also provides data according to the existence of the charging EV. The bidirectional converter-based G2V and V2G energy transfer also require charging the external vehicle for the allotment and sending information about availability. This paper proposes a MATLAB-based IoT model that helps monitor the battery's data from the EV battery's context and the charging station. The cloud-based system provides the SoC of the battery, which will be a key to revealing another parameter of the EV and the charging station." @default.
- W4323059951 created "2023-03-05" @default.
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- W4323059951 date "2022-12-22" @default.
- W4323059951 modified "2023-09-27" @default.
- W4323059951 title "Bi-directional EV Charging for Grid to Vehicle and Vehicle to Grid and Battery Monitoring System using IoT in Simulink" @default.
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- W4323059951 doi "https://doi.org/10.1109/centcon56610.2022.10051630" @default.
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