AI-Powered Solutions for Enhancing Electric Vehicle Battery Management

Abstract

The advancements in electric vehicle (EV) technology have led to an increasing demand for efficient electric vehicle supply equipment (EVSE) and charging infrastructure. There is also significant interest in further developing battery management technology to improve driving range and battery life. This paper offers an extensive survey of the state-of-the-art AI solutions used in EV battery diagnosis and prognosis. The primary challenge in battery management is the rapid growth in battery technology. The motivation for the research focused on the battery system stems from the importance of the battery system in the car industry. Over the years, cars have switched from pure internal combustion engines to hybrid electric vehicles, plug-in hybrid electric vehicles, and recently pure battery electric vehicles. Among these electrified vehicles, electric vehicles are clean and cost-effective. However, the batteries used in these vehicles are expensive, and their performance and life depend on how they are used. Therefore, it is important to diagnose and predict the battery condition used in electric vehicles to maximize their driving range and prevent unexpected incidents.