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Title:

Examining Model-Based Fast-Charging and Preconditioning on a Vehicle-Level - Simulation Data

Document type:
Forschungsdaten
Publication date:
26.08.2024
Responsible:
Abo Gamra, Kareem
Authors:
Abo Gamra, Kareem; Zähringer, Maximilian; Ladner, Aaron; Allgäuer, Christian; Lienkamp, Markus
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1750774
End date of data production:
01.08.2024
Subject area:
ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; VER Technik der Verkehrsmittel
Resource type:
Simulationen / simulations
Data type:
Tabellen / tables
Other data type:
MATLAB files
Description:
This dataset contains the simulation data obtained using an electrochemical battery model by Batemo to evaluate the impact of different fast-charging and thermal management strategies for model-based fast-charging on vehicle-level using anode-potential control. Further information can be obtained from the corresponding publication titled "Examining Model-Based Fast-Charging and Preconditioning on Vehicle-Level"
Method of data assessment:
Simulation data was obtained using a commercial electrochemical battery model by the company Batemo in MATLAB/Simulink.
Links:
This dataset relates to the publication: https://doi.org/10.3390/wevj15080377
Key words:
Battery electric vehicles; Lithium-ion battery; Fast charging; Lithium plating; Thermal management; Preconditioning
Technical remarks:
View and download (2,6 GB total, 72 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1750774):
rsync rsync://m1750774@dataserv.ub.tum.de/m1750774/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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