International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 2
April-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

IoT Based Battery Management System for Electrical Vehicles Using Raspberry Pi Pico

Author(s) Mr. Kartheek Kandukoori, Ms. Sreeja Kuragayala, Mr. Nikhil Mogillipally, Ms. Hima Bindu Guttula
Country India
Abstract This paper presents the design and implementation of an IoT-based Battery Management System (BMS) for monitoring and controlling a 12 V battery using a Raspberry Pi Pico W. The system measures key parameters such as voltage, current, and temperature in real time using appropriate sensors and processes the data through an embedded controller. An IoT platform is integrated to enable remote monitoring, data logging, and visualization of battery performance. The proposed system incorporates protection mechanisms against overvoltage, overcurrent, and over temperature conditions to ensure safe and reliable operation. Additionally, State of Charge (SoC) and State of Health (SoH) are estimated to provide deeper insight into battery status and performance. Experimental results demonstrate accurate monitoring, efficient control, and reliable communication with minimal delay. The developed system is low-cost, scalable, and suitable for applications in electric vehicles and energy storage systems, offering an effective solution for intelligent battery management.
Keywords Battery Management System (BMS), Internet of Things (IoT), Raspberry Pi Pico W, State of Charge (SoC), State of Health (SoH), Voltage Monitoring, Current Sensing, Temperature Monitoring, ThingSpeak, Electric Vehicles (EVs)
Field Engineering
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-05-05
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 1Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org