• Jyoti Ramchandra Jadhav
• Sandhyarani Suresh Kamble
• Pratiksha Ramesh Dabhole
• Prof. S. R. Desai

The demand for electric vehicles in India seems to be growing. As energy is scarce and there is pressure on the world to reduce carbon footprint, the manufacturing industry is transitioning to the production of electric vehicles. It is necessary to improve the technology and functionality of electric vehicles. For the protection of customers against accidents caused by battery failure, continuous battery monitoring is essential. In order to improve EV performance, battery analysis and monitoring must be improved. An ongoing monitoring method for analysing battery performance is the pall- grounded BMS system for EV data analysis using IOT. Additionally, each EV battery's performance is analysed by the system using data provided by the battery manufacturer. Compared to reactionary energy vehicles, the EV production process is still in its infancy. Reactionary energy technology has advanced significantly thanks to experimentation, experience, ground-breaking ideas, and the stringent moral standards of governing bodies like Euro/Bharat Stage 6 etc. The successful implementation of EVs will be made possible by the harmonious advancement in battery technology. The maker of batteries should be able to directly estimate the battery model, state of charge, state of health, etc. with the aid of ongoing monitoring of battery performance parameters. Additionally, it will prove the reliability of EVs and correctly predict the risk of accidents brought on by careless battery charging and draining. IOT-Cloud technology is a key component of this architecture. Every lithium-ion cell's performance parameter is delivered to an IOT webpage and further depicted in graphical form are graphical representations that enable easy analysis of EV performance.

electric vehicle ,IOT ,BMS

"cloud based BMS data analyatics and alert system for EV using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m671-m678, May-2023, Available :http://www.jetir.org/papers/JETIR2305C95.pdf

"cloud based BMS data analyatics and alert system for EV using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm671-m678, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C95.pdf