• K Jayaram Kumar
• S Avinash
• B Jayanth Babu
• P Appala Naidu
• S Mounica

The Internet of Things (IoT) technology has immense potential for application in improvement and development of Smart Grid. The rising number of distributed generations, aging of present grid infrastructure and appeal for the transformation of networks has spare the interest in smart grid. The need for energy storage system primarily the electrical energy storage systems is growing as the prospects for their usage is becoming more compelling. Dynamic electrical energy storage system viz., Electric Vehicles (EVs) are relatively standard due to their excellent electrical properties and flexibility but the possibility of damage to their batteries is there in case of overcharging or deep discharging and their mass penetration profoundly impacts the grid. To circumvent the possibility of damage, EVs’ batteries need a precise state of charge estimation to increase their lifespan and to protect the equipment they power. Based on ease of implementation and less overall complexity, this project proposes a real-time EV Charging Monitoring System (EVCMS) using coulomb counting method for SoC estimation and information is being shared with internet of things technology. The proposed EVCMS is implemented on hardware platform using appropriate sensing technology, central processor, interfacing devices and the Node MCU environment. An optimization model aimed at maximizing the trade revenue for EV’s aggregator is presented aimed at enabling the smart charging.

"Charging Station Sytem For E-Automotives With IoT Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.722-729, April-2019, Available :http://www.jetir.org/papers/JETIR1904D98.pdf

"Charging Station Sytem For E-Automotives With IoT Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp722-729, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D98.pdf