Development of a Data-Driven Method for Online Battery Remaining-Useful-Life Prediction
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Batteries 8, 10
- Keyword
-
Lithium-Ionen-Akkumulator
- Event
-
Veröffentlichung
- (where)
-
Köln
- (who)
-
Bibliothek der Technischen Hochschule Köln
- (when)
-
2022
- Creator
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Hell, Sebastian Matthias
Kim, Chong Dae
- Contributor
-
Gerbaldi, Claudio
- DOI
-
10.3390/batteries8100192
- URN
-
urn:nbn:de:hbz:832-epub4-20639
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:56 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hell, Sebastian Matthias
- Kim, Chong Dae
- Gerbaldi, Claudio
- Bibliothek der Technischen Hochschule Köln
Time of origin
- 2022
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