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- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 26.08.2024
- Verantwortlich:
- Abo Gamra, Kareem
- Autorinnen / Autoren:
- Abo Gamra, Kareem; Zähringer, Maximilian; Ladner, Aaron; Allgäuer, Christian; Lienkamp, Markus
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- Examining Model-Based Fast-Charging and Preconditioning on a Vehicle-Level - Simulation Data
- Identifikator:
- doi:10.14459/2024mp1750774
- Enddatum der Datenerzeugung:
- 01.08.2024
- Fachgebiet:
- ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; VER Technik der Verkehrsmittel
- Quellen der Daten:
- Simulationen / simulations
- Datentyp:
- Tabellen / tables
- Anderer Datentyp:
- MATLAB files
- Methode der Datenerhebung:
- Simulation data was obtained using a commercial electrochemical battery model by the company Batemo in MATLAB/Simulink.
- Beschreibung:
- 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"
- Links:
- This dataset relates to the publication: https://doi.org/10.3390/wevj15080377
- Schlagworte:
- Battery electric vehicles; Lithium-ion battery; Fast charging; Lithium plating; Thermal management; Preconditioning
- Technische Hinweise:
- 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/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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