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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
21.04.2022
Verantwortlich:
Nikolaos Wassiliadis
Autorinnen / Autoren:
Nikolaos Wassiliadis, Matthias Steinsträter, Markus Schreiber, Philipp Rosner, Lorenzo Nicoletti, Florian Schmid, Manuel Ank, Olaf Teichert, Leo Wildfeuer, Jakob Schneider, Alexander Koch, Adrian König, Andreas Glatz, Josef Gandlgruber, Thomas Kröger, Xue Lin, Markus Lienkamp
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Titel:
Electric powertrain data of a Volkswagen ID.3 during real-world driving situations
Identifikator:
doi:10.14459/2022mp1656313
Enddatum der Datenerzeugung:
20.12.2021
Fachgebiet:
ELT Elektrotechnik; MAS Maschinenbau; VER Technik der Verkehrsmittel
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations
Datentyp:
Tabellen / tables
Methode der Datenerhebung:
Data was recorded by regular querying of the component states via unified diagnostic services (UDS) over the OBD-II standardized interface of the vehicle during real-world driving situations. For instructions on the individual experimental techniques, please refer to the linked article.
Beschreibung:
This dataset contains 148 measurements recorded during real-world driving situations. The overall dataset contains measurements of (1) the high-voltage battery (e.g., current, voltages, temperatures, SOC), (2) the powertrain (e.g., rotation, torque, temperature), and (3) the vehicle (e.g., speed, mileage). Data availability may vary between the measurements as the general objectives of the measurements differed during the aquisition. All measurements are provided as .csv and .mat files for fast...     »
Links:

This dataset relates to the publication: https://doi.org/10.1016/j.etran.2022.100167

Schlagworte:
State of the art; Battery electric vehicle; Teardown analysis; Electric powertrain efficiency; Lithium-ion battery; Battery aging
Technische Hinweise:
View and download (2,8 GB total, 297 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1656313):
rsync rsync:// m1656313@dataserv.ub.tum.de/m1656313/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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