Data-driven battery aging analysis of home storage systems based on high-resolution field measurements
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2023
- Schlagwort
-
Lithium-Ionen-Akkumulator
Alterung
Batterie
Energiespeicher
Akkumulator
Elektrofahrzeug
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2024-10709
- URN
-
urn:nbn:de:101:1-2412240048419.575220360238
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
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Beteiligte
- Figgener, Jan
- Sauer, Dirk Uwe
- Ulbig, Andreas
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2023
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