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Document type:
Forschungsdaten 
Publication date:
21.04.2022 
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:
Quantifying the state of the art of electric powertrains in battery electric vehicles: Range, efficiency, and lifetime from component to system level of the Volkswagen ID.3 
Time of production:
20.12.2021 
Subject area:
ELT Elektrotechnik; MAS Maschinenbau; VER Technik der Verkehrsmittel 
Resource type:
Experimente und Beobachtungen / experiments and observations 
Data type:
Bilder / images; Tabellen / tables; Datenbanken / data bases 
Description:
This dataset contains over 10 GB of measurement data recorded while performing extensive multiscale experiments using a VW ID.3 Pro Performance. The dataset serves as a reference for characterization of the individual powertrain components and the overall vehicle. This dataset includes (1) images of the teardown of the high-voltage lithium-ion battery pack to cell level, technical drawings and CAD files of the pack, module, and cell, (2) lithium-ion cell level tests (e.g., current rate tests, op...    »
 
Method of data assessment:
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 (11 GB total, 586 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1656314):
rsync rsync://m1656314@dataserv.ub.tum.de/m1656314/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0