IoT Based Avoid Fire Accident in E-Vehicle with Multiple Fault Detection and Battery Management Using AI

Authors

  • Madhavan P Assistant Professor, Electronics and Communication Engineering, Muthayammal Engineering College, Namakkal, Tamilnadu. Author
  • Pradeepa J K UG, Electronics and Communication Engineering, Muthayammal Engineering College, Namakkal, Tamilnadu. Author
  • Srinithi A UG, Electronics and Communication Engineering, Muthayammal Engineering College, Namakkal, Tamilnadu. Author
  • Vigneshwari J UG, Electronics and Communication Engineering, Muthayammal Engineering College, Namakkal, Tamilnadu. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0046

Keywords:

Automatic Power Cut-off, Alarm System, Overheating Prevention, Battery Thermal Management System (BTMS)

Abstract

The Thermal Management System (TMS) of the battery is one of the most significant systems in the building of an electric vehicle, with the goal of improving the battery's performance and life. The purpose of this paper is to critically evaluate previous studies and research on the types, designs, and operating principles of BTMSs used in the building of various-shaped lithium-ion batteries, with a focus on cooling methods. Nowadays electric vehicles have increased over the past decade as consumer’s demand eco-friendlier solutions to combat climate change. Due to the Absence of a Thermal Management System Notification Alert (Battery Temperature), some people has lost their life. Monitor the Battery Temperature & Smoke Detection to Alert the Electric Vehicle and its busing cooling system user’s via Smartphone Notification, Alarm the Buzzer and also to Auto Cut off the Electric Vehicle to Avoid Further Damages.

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Published

2025-03-03

How to Cite

IoT Based Avoid Fire Accident in E-Vehicle with Multiple Fault Detection and Battery Management Using AI. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(03), 339-342. https://doi.org/10.47392/IRJAEH.2025.0046

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