• Keerthi Kumar

The increasing popularity of electric vehicles (EVs) has raised concerns about their potential impact on the electricity grid. One significant challenge is the risk of overcharging during the EV charging process, which can lead to voltage instability and power outages. This paper presents a case study on the continuous charging of EVs and their effects on battery management systems. The case study emphasizes the importance of smart State of Charge (SOC) systems that can be integrated into EVs to ensure user awareness and to alert manufacturers when overcharging incidents occur. Additionally, the study proposes guidelines for how quickly users or manufacturers should respond to such incidents. The case study also discusses the impact of continuous EV charging on the electricity grid and proposes a solution in the form of a continuous load inadaptation system. This system uses an intelligent algorithm to monitor EV charging status and adjust the charging rate to prevent overcharging. The algorithm considers the charge needs of multiple EVs and balances the load across the grid to ensure grid stability. Overall, the case study highlights the importance of implementing smart SOC systems and continuous load inadaptation systems to prevent overcharging incidents and maintain grid stability in the face of increasing numbers of EVs on the road.

Electric Vehicles, State of Charge, Battery Management Systems, Charge and Discharge, Smart Sensor Monitor

"Continuous Load Dissipation from Electric Vehicles Due to Over Charging Effects – A Case Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k18-k22, April-2023, Available :http://www.jetir.org/papers/JETIR2304A04.pdf

"Continuous Load Dissipation from Electric Vehicles Due to Over Charging Effects – A Case Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk18-k22, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A04.pdf