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BMBF 03XP0585

SPEED - Schnelle Charakterisierung der Leistungsfähigkeit von Lithium-Ionen-Batterien aus der Produktionslinie mit maschinellem Lernen

Grant period2024-01-01 - 2028-12-31
Funding bodyBundesministerium für Bildung und Forschung
 BMBF
Further information: Homepage
IdentifierG:(BMBF)03XP0585

 

Recent Publications

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Fast data augmentation for battery degradation prediction
Energy and AI 21, 100542 () [10.1016/j.egyai.2025.100542]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Global sensitivity analysis towards non-invasive parameterization of the electrochemical-thermal model for lithium-ion batteries
Advances in applied energy 18, 100221 () [10.1016/j.adapen.2025.100221]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Sensorless battery expansion estimation using electromechanical coupled models and machine learning
Journal of Energy Chemistry 105, 142-157 () [10.1016/j.jechem.2024.12.068]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Machine learning for battery quality classification and lifetime prediction using formation data
Energy and AI 18, 100451 () [10.1016/j.egyai.2024.100451]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Cross-Scale Decoupling Kinetic Processes in Lithium-Ion Batteries Using the Multi-Dimensional Distribution of Relaxation Time
Advanced science 11(44), 2406934 () [10.1002/advs.202406934]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

All known publications ...
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 Record created 2024-12-04, last modified 2025-01-22
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