Synthetic Data Generation for AI-Informed End-of-Line Testing for Lithium-Ion Battery Production
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: 10.3390/wevj16020075
- Klassifikation
-
Elektrotechnik, Elektronik
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2025
- Urheber
- DOI
-
10.18154/RWTH-2025-02195
- URN
-
urn:nbn:de:101:1-2503130036483.870919986181
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Krause, Tessa
- Nusko, Daniel
- Rittmann, Johannes
- Pitta Bauermann, Luciana
- Kroll, Moritz
- Holly, Carlo
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2025
Ähnliche Objekte (12)
Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
Virtual Electrode Design for Lithium‐Ion Battery Cathodes
Electrophoretic Deposition for Lithium‐Ion Battery Electrode Manufacture
A microscale soft lithium-ion battery for tissue stimulation
Analytical Approach for Evaluation of Lithium‐Ion Battery Cells
Advanced optimization preocedures for lithium-ion battery insertion cathodes
Nanostructuring and nanohybridization concepts for improved lithium-ion battery electrodes
Key Challenges for Grid‐Scale Lithium‐Ion Battery Energy Storage
Lithium‐Ion Battery Technology for Voltage Control of Perpendicular Magnetization
Laser structured Cu foil for high-performance lithium-ion battery anodes
Investigations on Multi-Walled Carbon Nanotubes for Lithium-Ion Battery Applications
Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
Virtual Electrode Design for Lithium‐Ion Battery Cathodes
Electrophoretic Deposition for Lithium‐Ion Battery Electrode Manufacture
A microscale soft lithium-ion battery for tissue stimulation
Analytical Approach for Evaluation of Lithium‐Ion Battery Cells
Advanced optimization preocedures for lithium-ion battery insertion cathodes
Nanostructuring and nanohybridization concepts for improved lithium-ion battery electrodes
Key Challenges for Grid‐Scale Lithium‐Ion Battery Energy Storage
Lithium‐Ion Battery Technology for Voltage Control of Perpendicular Magnetization
Laser structured Cu foil for high-performance lithium-ion battery anodes
Investigations on Multi-Walled Carbon Nanotubes for Lithium-Ion Battery Applications
Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
Virtual Electrode Design for Lithium‐Ion Battery Cathodes
Electrophoretic Deposition for Lithium‐Ion Battery Electrode Manufacture
A microscale soft lithium-ion battery for tissue stimulation
Analytical Approach for Evaluation of Lithium‐Ion Battery Cells
Advanced optimization preocedures for lithium-ion battery insertion cathodes
Nanostructuring and nanohybridization concepts for improved lithium-ion battery electrodes
Key Challenges for Grid‐Scale Lithium‐Ion Battery Energy Storage
Lithium‐Ion Battery Technology for Voltage Control of Perpendicular Magnetization
Laser structured Cu foil for high-performance lithium-ion battery anodes