Early Detection of Fire Accident in Electric Vehicle using Battery Management System
Authors/Creators
- 1. Department of Electronics and Communication Engineering, Saranathan College of Engineering, Trichy, India.
Description
In today’s world, Electric Vehicles (EVs) have transfigured the automobile industry. EVs are the best means of transportation of people as they are easy to drive, convenient and make less noise. The Lithium-Ion Batteries (LIB) are used to power the vehicle. However, In recent years the main disadvantage of EVs are catching fire and becoming one of the most important fault in EVs. The primary cause of EVs catching fire are faulty Battery Management System (BMS), and improper venting mechanisms for cells to release heat. Over time, 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. Accordingly, in the proposed work consists of two phases. First phase performs exploratory data analysis on dataset and diagnosis the fault. In, Second phase Machine learning ( ML) algorithms are used to check and detect the fire in advance.
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