Advanced Battery Fault Diagnosis for Electric Vehicles

Lithium-ion batteries have emerged as one of the most promising energy storage systems in electric vehicles due to their high energy density and long lifespan. However, abusive operations and harsh environments pose risks such as overheating and short circuits, threatening battery safety. This study improves battery fault diagnosis by developing advanced algorithms that detect and assess faults in real time, ensuring reliable operation and extending battery life. By enhancing detection accuracy and reducing computational demands, the research supports safer, more efficient EV batteries and the transition to sustainable transportation.