Next Gen Solution for Risk Mitigation in Commercial EV

Abstract

The global automotive industry is shifting towards sustainable mobility, with electric vehicles (EVs) playing a crucial role in reducing greenhouse gas emissions and dependence on fossil fuels. However, the transition to EVs introduces significant challenges, particularly in ensuring the safety and reliability of their complex electrical systems. One of the critical aspects of EV safety is the development of Electric Vehicle Protection Systems (EVPS) designed to mitigate risks such as electrical fires and system malfunctions. This research explores an Arduino-based EVPS that operates on continuous monitoring and rapid response principles. Sensors placed throughout the vehicle track temperature, voltage, and current fluctuations in real time. If the battery temperature approaches hazardous levels, an early warning alert is triggered, notifying the driver before critical failure. When the temperature reaches a predefined threshold, an automated CO₂ fire suppression system is activated to prevent fire outbreaks. Additionally, the entire system is enclosed within a high-temperature-resistant carbon fiber shell, providing further protection. The proposed next-generation EVPS enhances vehicle safety by early fault detection, automated risk mitigation, and structural reinforcement. Results indicate that this approach significantly reduces fire hazards, improving overall EV reliability and occupant safety. Future developments should focus on sensor optimization, faster response mechanisms, and AI-driven predictive analytics to further enhance the efficiency of EV protection systems.