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Titel:

Supplementary data: Battery pack diagnostics for electric vehicles: Robustness of the state of health measurement and differential voltage analysis at the vehicle level

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
29.04.2026
Verantwortlich:
Bilfinger, Philip
Autorinnen / Autoren:
Bilfinger, Philip; Rosner, Philipp; Schreiber, Markus; Brehler, Tobias; Grosu, Cristina; Schöberl, Jan; Abo Gamra, Kareem; Lienkamp, Markus
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Identifikator:
doi:10.14459/2026mp1840112
Enddatum der Datenerzeugung:
31.12.2025
Fachgebiet:
ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; VER Technik der Verkehrsmittel
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations
Datentyp:
Bilder / images ; 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 state of the art battery electric vehicles for battery diagnosis with differential voltage analysis. The dataset includes small current measurements at the vehicle level during AC charging.
Links:
This dataset relates to the publication: http://doi.org/10.1016/j.etran.2026.100589
Schlagworte:
Battery aging; Battery diagnostics; Differential voltage analysis; Electric vehicle Lithium-ion battery; State of health
Technische Hinweise:
View and download (286 MB total, 44 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1840112):
rsync rsync://m1840112@dataserv.ub.tum.de/m1840112/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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