Journal of Electrical Engineering and Automation
IRO Journals
Volume 7 — Issue 1 — March 2025

Improving Lithium-ion Battery Longevity through Predictive Thermal Management

https://doi.org/10.36548/jeea.2025.1.004
Mynavathi M.
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, India
Agalya M A.
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, India
Hemavaruni J.
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, India
Nivetha C S.
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, India
Thanya D.
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, India
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How to Cite

M., Mynavathi, Agalya M A., Hemavaruni J., Nivetha C S., and Thanya D. 2025. “Improving Lithium-Ion Battery Longevity through Predictive Thermal Management”. Journal of Electrical Engineering and Automation 7 (1): 39-48. https://doi.org/10.36548/jeea.2025.1.004.
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Keywords

— Lithium-ion Batteries
— Thermal Management
— Predictive Analytics
— Linear Regression
— Battery Safety
— Real-Time Monitoring
Published: 07-04-2025

Abstract

Lithium-ion batteries are vital in various storage applications like electric vehicle, renewable energy system and industrial applications. One of the major drawbacks with lithium- ion batteries are overheating. A cost-effective thermal management system is proposed where predictive analysis is employed to reduce thermal stress, thereby increasing reliability and longevity of batteries. Linear regression techniques is employed to forecast temperature fluctuation and activate cooling system when temperature of the lithium-ion battery reaches unsafe limit. The proposed methodology is developed and validated by a low-cost hardware.

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