IoT-Enabled Battery Thermal Safety Monitoring for Sustainable Electric Mobility

Abstract

The increasing adoption of electric vehicles (EVs) has accelerated the need for intelligent battery thermal safety systems capable of ensuring reliable operation, extending battery lifespan, and preventing thermal failures. Lithium-ion batteries experience significant heat generation during charging, discharging, and high-power driving conditions, making continuous temperature monitoring essential for maintaining operational safety. Internet of Things (IoT)-enabled battery monitoring systems provide real-time acquisition of thermal parameters, enabling predictive analytics and intelligent fault detection through cloudconnected infrastructures. This paper proposes an IoT-Enabled Battery Thermal Safety Monitoring framework integrating distributed sensor networks, edge computing, cloud analytics, machine learning, and predictive maintenance for sustainable electric mobility. The proposed architecture continuously monitors battery temperature, voltage, current, and environmental conditions while predicting thermal abnormalities before hazardous situations occur. Experimental evaluation demonstrates improvements in temperature monitoring accuracy, fault detection capability, battery safety, charging efficiency, operational reliability, and battery lifespan. The proposed framework provides a scalable, intelligent, and energyefficient solution for next-generation electric vehicle battery safety management.