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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM59548

IoT-Based Battery Monitoring System for Electric Vehicle

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59548

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM59548

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Bc

B.Sarath chandra

S

SK.Salma

N

N.Abhilash

U

U.V.Kishore

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Abstract

The IoT-Based Battery Monitoring System for Electric Vehicles is developed to ensure safe, efficient, and reliable battery operation through continuous real-time monitoring and intelligent control. The system integrates an Arduino microcontroller with voltage, current, and temperature sensors to measure key battery parameters and display them on an LCD module. A NodeMCU module enables IoT connectivity by transmitting real-time data to the ThingSpeak cloud platform for remote monitoring, visualization, and analysis. To enhance safety, the system incorporates automated protection mechanisms: when abnormal conditions such as low voltage, overcurrent, or excessive temperature are detected, relays disconnect the load, LEDs provide visual indication, and a buzzer generates an audible alert. Additionally, a GSM module sends instant notifications to a registered mobile number. A DC motor is used to simulate the electric vehicle drive load, while auxiliary mobile chargers demonstrate controlled charging operations. Powered by a 12V battery and regulated supply system, the prototype offers a compact, cost-effective, and scalable solution for smart battery health monitoring and protection in electric vehicles, improving operational safety and extending battery lifespan.

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Cite This Article

B.Sarath chandra, SK.Salma, N.Abhilash, U.V.Kishore, "IoT-Based Battery Monitoring System for Electric Vehicle," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM59548

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Publication Date

9/3/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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