Künstliche Intelligenz in der Entwicklung von Material, Zellen und Batteriesystemen

KI03

Künstliche Intelligenz in der Entwicklung von Material, Zellen und Batteriesystemen

Titel:
From Variance Attribution to Causal Inference: Understanding Impedance Variance Drivers for Robust Battery State Estimation

Autoren:
Natterer, J.* ( Technical University of Munich (TUM), TUM School of Engineering and Design, Department of Energy and Process Engineering, Chair of Electrical Energy Storage Technology (EES) | Infineon Technologies AG) Rubio Gomez, M.* ( Technical University of Munich (TUM), TUM School of Engineering and Design, Department of Energy and Process Engineering, Chair of Electrical Energy Storage Technology (EES)) Andreas, J. ( Technical University of Munich (TUM), TUM School of Engineering and Design, Department of Energy and Process Engineering, Chair of Electrical Energy Storage Technology (EES)) * These authors contributed equally to this work and reserve the right to list themselves first in the author order.