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Titel:

Supplementary data: Battery Pack Diagnostics for Electric Vehicles: Transfer of Differential Voltage and Incremental Capacity Analysis from Cell to Vehicle Level

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
05.08.2024
Verantwortlich:
Bilfinger, Philip
Autorinnen / Autoren:
Bilfinger, Philip; Rosner, Philipp; Schreiber, Markus; Kröger, Thomas; Abo Gamra, Kareem; Ank, Manuel; Wassiliadis, Nikolaos; Dietermann, Brian; Lienkamp, Markus
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Identifikator:
doi:10.14459/2024mp1737452
Enddatum der Datenerzeugung:
20.06.2023
Fachgebiet:
ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; VER Technik der Verkehrsmittel
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations
Datentyp:
Datenbanken / data bases
Methode der Datenerhebung:
For instructions on the individual experiments please refer to the linked article.
Beschreibung:
This datasets contains the measurement data recorded while performing extensive experiments using a VW ID.3 and a Tesla Model 3 (Long Range) for the battery diagnosis with DVA and ICA. The dataset includes (1) pOCV measurements on cell level from the battery laboratory, (2) pOCV measurements on vehicle level during AC charging, and (3) images for the analysis of the experimental data.
Links:
This dataset relates to the publication: https://doi.org/10.1016/j.etran.2024.100356
Schlagworte:
Battery Electric Vehicles; Lithium Ion Battery; Battery Pack Diagnostics; Differential Voltage Analysis; Incremental Capacity Analysis; Battery Aging
Technische Hinweise:
View and download (289 MB total, 36 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1737452):
rsync rsync://m1737452@dataserv.ub.tum.de/m1737452/
Sprache:
es
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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