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Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell

Luh, Matthias ORCID iD icon 1; Blank, Thomas ORCID iD icon 1
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies help to better understand and model degradation and to optimize the operating strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for more than a year under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to cells. The dataset includes result data (such as the remaining usable capacity or impedance measured in check-ups) and raw data (i.e., measurement logs with two-second resolution). The data can be used in a wide range of applications, for example, to model battery degradation, gain insight into lithium plating, optimize operating strategies, or test battery impedance or state estimation algorithms using machine learning or Kalman filtering.


Verlagsausgabe §
DOI: 10.5445/IR/1000174457
Veröffentlicht am 23.09.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000174457
HGF-Programm 38.02.03 (POF IV, LK 01) Batteries in Application
Erschienen in Scientific Data
Verlag Nature Research
Band 11
Seiten Article no: 1004
Projektinformation GRK 2153/2 (DFG, DFG KOORD, GRK 2153/2)
Vorab online veröffentlicht am 16.09.2024
Schlagwörter Batteries, Battery Degradation, Battery Aging, Battery Ageing, Dataset, Open Data, Battery Aging Dataset, Electrochemical Impedance Spectroscopy (EIS), Capacity Aging Data, Impedance Aging Data, Lithium Plating, Lithium-Ion Battery, NMC/C+SiO, NMC Cell, Degradation Data
Nachgewiesen in Web of Science
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Scopus
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