Probabilistic Machine Learning For Battery Health Diagnostics And Prognostics — Review And Perspectives

This article discusses the use of deep learning architecture to predict battery degradation trends and the use of physics-based models for battery health diagnostics and prognostics. The authors also highlight the challenges of re-parameterizing physics-based models for aged cells.