Simulation und Machine Learning

Unsupervised Learning to Discover Customer Segments in Stationary Battery Field Data

Safety- and Aging-aware Fast Charging of Lithium-Ion Batteries with Model Predictive Control

Non-invasive parameterization of physics-based model for lithium-ion batteries with artificial intelligence

Data-Driven Health Estimation of Lithium-Ion Batteries: Extraction of Second-Order Processing Features Using the Computation of the Distribution of Relaxation Times

Understanding Li Plating in LIB with Electrochemical Experiments, complementary Optical Operando Microscopy and Physico-chemical Modeling

Modelling of Lithium-ion Battery Cell for Real-Time Lithium Plating Detection

Mehrskalenmodellierung der SEI in Na-Ionen Batterien

About Humidity Management and Post-drying in Battery Electrode Processing

Silmulation des Formierungsprozesses mittels neuronaler Differentialgleichungen

Combined Machine Learning and Electrochemical Impedance Spectroscopy for Battery Degradation Analysis

Pseudo-2-Dimensionales (P2D) Modellierung des Vorlithiierungsprozesses

Aging analysis of battery field data

Frühzeitige Erkennung von sicherheitskritischem Lithium-Plating bei der Schnellladung von Lithium-Ionen-Batterien

Einsichten in SEI-Formierung und Design von SEI-Morphologie mittels Multiskalen-Modellierung

Modelltechnische Untersuchung und Validierung der Prozesse bei der Thermischen Degradation von Lithium-Ionen-Batterien