5 papers
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…
Estimating the Health and State of Charge of Each Cell in a Second-Life Battery System from Field Data
Martin Cornejo, Julian Meyer-Schwickerath, Juan Victor Sandalinas +1
Effective use of battery storage depends on reliable estimation of its state of health (SOH) and state of charge (SOC). Model-based state estimation requires the open-circuit volta…
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…
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…
Evaluating the Impact of Model Accuracy for Optimizing Battery Energy Storage Systems
Martin Cornejo, Melina Graner, Holger Hesse +1
This study investigates two models of varying complexity for optimizing intraday arbitrage energy trading of a battery energy storage system using a model predictive control approa…