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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
18.06.2024
Verantwortlich:
Rosenberger, Nico
Autorinnen / Autoren:
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
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Titel:
Electric powertrain data of a Tesla Model 3 during real-world driving situations
Identifikator:
doi:10.14459/2024mp1735471
Enddatum der Datenerzeugung:
09.02.2024
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 Controller Area Network (CAN) 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 228 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...     »
Schlagworte:
Battery electric vehicles; Electric powertrain efficiency; Lithium-ion battery; State of the art; Teardown analysis
Technische Hinweise:
View and download (6,3 GB total, 2 Files)
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The data server also offers downloads with rsync (password m1735471):
rsync rsync://m1735471@dataserv.ub.tum.de/m1735471/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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