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Document type:
Forschungsdaten
Publication date:
21.04.2022
Responsible:
Nikolaos Wassiliadis
Authors:
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
Author affiliation:
TUM
Publisher:
TUM
Title:
Electric powertrain data of a Volkswagen ID.3 during real-world driving situations
Identifier:
doi:10.14459/2022mp1656313
End date of data production:
20.12.2021
Subject area:
ELT Elektrotechnik; MAS Maschinenbau; VER Technik der Verkehrsmittel
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Tabellen / tables
Description:
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...     »
Method of data assessment:
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.
Links:

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

Key words:
State of the art; Battery electric vehicle; Teardown analysis; Electric powertrain efficiency; Lithium-ion battery; Battery aging
Technical remarks:
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/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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