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- Titel:
Unlocking the Full Potential of Electric Vehicle Fast-Charging over Lifetime through Model-Based Agnig Adaptation - Simulation and Measurement Data
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 30.08.2024
- Verantwortlich:
- Abo Gamra, Kareem
- Autorinnen / Autoren:
- Abo Gamra, Kareem; Bilfinger, Philip; Schreiber, Markus; Kröger, Thomas; Allgäuer, Christian; Lienkamp, Markus
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2024mp1750435
- Enddatum der Datenerzeugung:
- 31.03.2024
- Fachgebiet:
- ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; VER Technik der Verkehrsmittel
- zusätzliche Fachgebiete:
- Electrochemistry
- Quellen der Daten:
- Experimente und Beobachtungen / experiments and observations; Simulationen / simulations
- Datentyp:
- Tabellen / tables
- Anderer Datentyp:
- MATLAB files
- Methode der Datenerhebung:
- 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. - Beschreibung:
- 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 - Links:
- This dataset relates to the publication: https://doi.org/10.1016/j.est.2024.113361
- Schlagworte:
- Battery electric vehicles; Lithium-ion battery; Fast charging; Lithium plating; Battery aging
- Technische Hinweise:
- 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/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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