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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Ev battery thermal monitoring using IOT BMS : A Review
Authors Name: Smita Prakash Nikam , Dr.Sangeeta R Chougule
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IJRTI_212821
Published Paper Id: IJRTI2605127
Published In: Volume 11 Issue 5, May-2026
DOI:
Abstract: The Battery Management System (BMS) is crucial to the Electric Vehicle (EV) as it ensures that the battery operates safely and efficiently. The BMS also allows for monitoring important battery parameters, including State of Charge (SOC), State of Health (SOH), voltage, current and temperature of each battery cell, and prevents overcharging and deep discharging to ensure battery life and mitigate fire accidents.In order to achieve the goal of enhancing battery safety, fire prevention is achieved thru use of sensors, software and IoT technology. Battery heat is monitored using temperature sensors and machine learning tools are used to anticipate battery life and possible battery failure situations. This system also records various parameters such as battery weight and current for helping to better understand system performance. Also, a cooling system is abided, which include Peltier cooling system to control the battery temperature within safe limits. As the demand for EVs continues to rise, these smart BMS and fire prevention systems significantly contribute to the safety, reliability, and longevity of EVs.
Keywords: Electric Vehicles (EVs), Lithium-Ion Batteries, Battery Thermal Management, Machine Learning,Battery Management System (BMS);
Cite Article: "Ev battery thermal monitoring using IOT BMS : A Review ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b222-b227, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605127.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2605127
Registration ID:212821
Published In: Volume 11 Issue 5, May-2026
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Page No: b222-b227
Country: Sangli, Maharasthra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605127
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605127
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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