Abdulkadir Atalan

Machine Learning-Based Electric Vehicle Remaining Range Prediction: Assessing the Relative Impact of Battery Status, Driving Context, and Environmental Conditions

This study presents a comprehensive machine learning (ML) evaluation methodology, grounded in physical principles, for range estimation in battery-electric vehicles (BEVs). In a simulation environment consisting of 50 driving and 12 virtual vehicles, 2000 observations were generated by classifying 23 input variables in...