Comparative analysis of Natural,Forced and Peltier based cooling methods for thermal management of Li-ion battery pack

HETAL D. WANJARE , DR. ASHISH MAHALLE

Electric Vehicles (EVs), Battery Thermal Management System (BTMS), Peltier Module, Thermoelectric Cooling, Lithium-Ion Battery, LiFePO4, Arduino Uno, NodeMCU, IoT, Thinger.io, Real-Time Monitoring, Temperature Control, Cooling Methods, Thermal Runaway, Energy Efficiency

The rapid global adoption of electric vehicles (EVs) has heightened the need for efficient battery thermal management systems (BTMS). This research presents an active BTMS using a Peltier module (TEC1-12706) to control the temperature of lithium-ion batteries within the optimal range (25–45°C). The system utilizes DS1821 temperature sensors, an ACS712 current sensor, a voltage divider, and an Arduino Uno for control, alongside a NodeMCU for IoT-based monitoring via Thinger.io. A comparative analysis of four cooling methods revealed that the Peltier system offers the highest cooling performance and uniformity, with a trade-off in higher power consumption. The proposed solution, with a low system cost of around $50, is scalable for small to medium-sized EVs and enhances battery safety, performance, and lifespan.

Published Paper   E-Certificate

"Comparative analysis of Natural,Forced and Peltier based cooling methods for thermal management of Li-ion battery pack", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d772-d778, May-2025, Available :https://ijsdr.org/papers/IJSDR2505374.pdf

Volume 10 Issue 5, May-2025

Pages : d772-d778

Paper Reg. ID: IJSDR_303233

Published Paper Id: IJSDR2505374

Downloads: 000450

Research Area: Science and Technology

Country: yavatmal, maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2505374

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2505374

DOI: https://doi.org/10.56975/ijsdr.v10i5.303233

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition