Prediction of Traction Battery Degradation in Electric Vehicles Using Ensemble Machine Learning Methods
This paper addresses the problem of predicting degradation of traction lithium-ion batteries in electric vehicles based on real operational data. The objective is to develop and compare practical approaches to training machine learning models for forecasting battery remaining capacity (State of Health, SoH) using the o...