3 papers
eess.SY2026
From Laboratory Aging Studies to Field Predictions: Quantifying Uncertainty in Battery Storage Lifetime Predictions
Melina Graner, Jan Figgener, Andreas Jossen +1
Predicting how long a battery energy storage system will last is critical for warranty design, maintenance planning and investment decisions, yet degradation models are mostly dete…
eess.SY2026
Predicting BESS Degradation with Uncertainty Quantification: A Probabilistic Framework for Battery Energy Storage Systems
Melina Graner, Holger Hesse, Andreas Jossen
Accurate and uncertainty-aware prediction of battery degradation is essential for the reliable operation and lifecycle management of energy storage systems, yet traditional determi…
eess.SY2025
Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
Melina Graner, Martin Cornejo, Holger Hesse +1
This paper presents a degradation-cost-aware optimization framework for multi-string battery energy storage systems, emphasizing the impact of inhomogeneous subsystem-level aging i…