IOT-ENABLED BATTERY THERMAL MONITORING FOR SAFE AND SUSTAINABLE ELECTRIC MOBILITY

Authors

  • Prof. Bhanu Sree Author

Abstract

The rapid adoption of electric vehicles (EVs) has increased the need for intelligent battery monitoring systems capable of improving safety, efficiency, sustainability, and operational reliability. Lithium-ion batteries are highly sensitive to temperature variations, and improper thermal management can result in accelerated degradation, reduced energy efficiency, performance loss, and dangerous conditions such as thermal runaway. Conventional battery monitoring approaches often depend on limited sensor measurements and reactive control mechanisms, which provide insufficient capability for continuous thermal analysis and early fault detection. This paper proposes an IoT-Enabled Battery Thermal Monitoring Framework for Safe and Sustainable Electric Mobility that integrates Internet of Things (IoT) sensors, realtime data acquisition, cloud computing, intelligent analytics, and adaptive thermal management techniques. The proposed framework utilizes distributed IoT sensor networks to continuously collect battery temperature, voltage, current, state-of-charge, state-of-health, and environmental parameters. Collected data is transmitted through secure communication channels to cloud-based analytical platforms for real-time monitoring, predictive analysis, anomaly detection, and intelligent decision-making. The framework enables early identification of abnormal thermal conditions, improves battery lifecycle management, optimizes energy utilization, and enhances electric vehicle safety. Experimental analysis demonstrates that the proposed IoTenabled approach improves thermal monitoring accuracy, reduces response time, enhances battery reliability, and supports sustainable electric mobility solutions. Keywords: Internet of Things, Battery Thermal Monitoring, Electric Vehicle, Lithium-Ion Battery, Smart Battery Management System, Cloud Computing, Thermal Management, Predictive Analytics, Sustainable Mobility, Intelligent Transportation.

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Published

2026-03-29