Künstliche Intelligenz in der Entwicklung von Material, Zellen und Batteriesystemen
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KI01
Segmentierung und Augmentierung von Rasterelektronenmikroskopie-Daten mittels Deep Learning-Methoden
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KI02
Improving battery development by leveraging representative and dynamic load profiles derived from cloud customer data
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KI03
From Variance Attribution to Causal Inference: Understanding Impedance Variance Drivers for Robust Battery State Estimation
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KI04
Machine learning for battery quality classification and lifetime prediction using formation data
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KI05
Physics-informed Modeling Framework for AI-based Battery Pack Design, Operation and Diagnostics Optimization
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KIV06
AI-Readiness von Batteriedaten: Datenvorverarbeitung für ML-basierte Batteriezelldiagnostik