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Title:

Unlocking the Full Potential of Electric Vehicle Fast-Charging over Lifetime through Model-Based Agnig Adaptation - Simulation and Measurement Data

Document type:
Forschungsdaten
Publication date:
30.08.2024
Responsible:
Abo Gamra, Kareem
Authors:
Abo Gamra, Kareem; Bilfinger, Philip; Schreiber, Markus; Kröger, Thomas; Allgäuer, Christian; Lienkamp, Markus
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1750435
End date of data production:
31.03.2024
Subject area:
ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; VER Technik der Verkehrsmittel
Other subject areas:
Electrochemistry
Resource type:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations
Data type:
Tabellen / tables
Other data type:
MATLAB files
Description:
This dataset contains the simulation and measurement data obtained using an electrochemical battery model to evaluate the impact of different aging adaptation strategies for model-based fast-charging using anode-potential control. Further information can be obtained from the corresponding publication titled "Unlocking the Full Potential of Electric Vehicle Fast-Charging over Lifetime through Model-Based Aging Adaptation"
Aging Data was derived from the following publication: [1] Wildfeuer, Leo; Karger, Alexander; Aygül, Deniz; Wassiliadis, Nikolaos; Jossen, Andreas; Lienkamp, Markus (2023): Experimental degradation study of a commercial lithium-ion battery. In Journal of Power Sources 560, p. 232498. DOI https://doi.org/10.1016/j.jpowsour.2022.232498
Method of data assessment:
Measurements were obtained using a Basytec CTS battery cycler, with the battery cells placed in a Binder MK240 climate chamber.
Simulation data was obtained using an open-source electrochemical battery model in MATLAB/Simulink, for which we refer to the corresponding publication.
Links:
This dataset relates to the publication: https://doi.org/10.1016/j.est.2024.113361
Key words:
Battery electric vehicles; Lithium-ion battery; Fast charging; Lithium plating; Battery aging
Technical remarks:
View and download (272 MB total, 79 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1750435):
rsync rsync://m1750435@dataserv.ub.tum.de/m1750435/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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