A comprehensive study on battery health assessment and remaining driving range estimation for electric vehicles

Abstract

Electric vehicles (EVs) have emerged as a promising solution to curb greenhouse gas emissions and reduce dependency on fossil fuels. The successful integration of EVs into the mainstream transportation system relies heavily on efficient power battery utilization, making battery health assessment and remaining mileage estimation vital. This paper presents a comprehensive study on the development of intelligent energy management systems for EVs, with a primary focus on predicting battery health status and accurately estimating the remaining mileage (RDR). The study leverages cutting-edge big data analytics and machine learning techniques to enhance battery performance analysis, ensuring optimal energy utilization in electric vehicles.