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Title:

Quantifying the state of the art of electric powertrains in battery electric vehicles: comprehensive analysis of the Tesla Model 3 on vehicle level

Document type:
Forschungsdaten
Publication date:
18.06.2024
Responsible:
Rosenberger, Nico
Authors:
Rosenberger, Nico; Rosner, Philipp; Bilfinger, Philip; Schöberl, Jan; Teichert, Olaf; Schneider, Jakob; Gamra, Kareem Abo; Allgäuer, Christian; Dietermann, Brian; Schreiber, Markus; Ank, Manuel; Kröger, Thomas; Köhler, Alexander; Wassiliadis, Nikolaos; Lienkamp, Markus
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1735494
End date of data production:
09.02.2024
Subject area:
ELT Elektrotechnik; MAS Maschinenbau; VER Technik der Verkehrsmittel
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Tabellen / tables; Datenbanken / data bases
Description:
This datasets contains 1 GB of measurement data recorded while performing extensive experiments using a Tesla Model 3 Standard Range Plus from 2020 using LFP cells. The dataset includes (0) images of the teardown of the high-voltage lithium-ion battery pack to cell level, technical drawings and CAD files of the cell, module and battery pack, (1) pOCV measurements on cell and vehicle level, (2) measurmenets of the efficiency of the power unit on a dynamometer, (3) measurements of the driving rang...     »
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/10.3390/wevj15060268
Key words:
Battery electric vehicles; Electric powertrain efficiency; Lithium-ion battery; State of the art; Teardown analysis
Technical remarks:
View and download (984 MB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1735494):
rsync rsync://m1735494@dataserv.ub.tum.de/m1735494/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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