Machine-Learning-Based Analysis for Problem Detection in Electric Vehicles

Electric vehicles (EVs) are gaining popularity because of their energy efficiency and positive environmental impacts. However, challenges arise from the intricacy of EV systems and the need for reliable, safe, and efficient functioning. This study explores the use of machine learning algorithms to get around these challenges and enhance the upkeep and performance of EVs. This project's primary objective is to use machine learning techniques to monitor the condition of EV components, identify issues, anticipate maintenance needs, and improve various aspects of EV operation. Through the application of machine learning algorithms to a variety of data obtained from sensors and vehicle systems, abnormalities and possible problems may be identified in advance. This proactive strategy aims to prolong the lifespan of important components, especially motors and batteries, and avoid breakdowns.