Bi-directional EV Charging for Grid to Vehicle and Vehicle to Grid and Battery Monitoring System using IoT in Simulink

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.