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@article{178949,
        author = {Gaurav Kumar Kamat and Shivam Baghel and Aryan Swarnakar and Ahmad Maaz and Amit Kumar},
        title = {EARLY DETECTION OF FIRE ACCIDENTS IN ELECTRIC AND CNG VEHICLES USING A BATTERY AND GAS MANAGEMENT SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5850-5856},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178949},
        abstract = {In today’s world, Electric Vehicles (EVs) and Compressed Natural Gas (CNG) vehicles have metamorphosed the automobile industry due to their eco-friendly nature and cost-effectiveness. However, one of the critical challenges faced by both EVs and CNG vehicles is the risk of fire accidents, primarily caused by thermal runaway, faulty Battery Management Systems (BMS), gas leaks, and overheating and improper venting mechanisms for cells to release heat. Over me, many fire detection and fire handling techniques have been proposed and developed that consists of sensor values, temperature, voltage which focuses mainly on battery health. This paper proposes an intelligent early fire detection system using an advanced BMS and Gas Management System (GMS) techniques and real-me sensor monitoring. The system utilizes various sensors such as temperature, flame, vibration, gas leakage, and voltage sensors to detect anomalies and predict potential fire hazards. The proposed system ensures real-me monitoring and early warning, thereby improving the safety and reliability of EVs and CNG vehicles.},
        keywords = {},
        month = {May},
        }