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

    Alternativer Identifier:
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    Verwandter Identifier:
    (Is Identical To) https://publikationen.bibliothek.kit.edu/1000168959 - URL
    Ersteller/in:
    Luh, Matthias https://orcid.org/0000-0003-4731-2207 [Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT), Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)]

    Blank, Thomas https://orcid.org/0000-0002-7543-5653 [Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)]
    Beitragende:
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    Titel:
    Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
    Weitere Titel:
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    Beschreibung:
    (Abstract) Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation 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 some of the 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 operation strategies, or test battery impedance or state estimation algorithms using machine learning or Kalman filtering.
    (Technical Remarks) The data is described in detail in the open-access publication <to be published>, also see external links. Python example code to read, process, and visualize the data is provided in the GitHub repository (also see external links): https://github.com/energystatusdata/bat-age-data-scripts/
    Schlagworte:
    lithium-Ion
    batteries
    battery degradation
    battery aging
    battery ageing
    battery
    data
    cycling data
    electrochemical impedance spectroscopy (EIS)
    High Power Pulse Charging (HPPC)
    battery lifetime
    NMC
    NCM
    silicon anode
    NMC/C-SiO
    battery degradation dataset
    battery impedance
    capacity fade
    power fade
    lithium plating
    lithium stripping
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    Sprache:
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    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Computer Science
    Objekttyp:
    Dataset
    Datenquelle:
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    Verwendete Software:
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    Datenverarbeitung:
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    Erscheinungsjahr:
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    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2024-03-07
    Archivgröße:
    69,4 GB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    b2657d4c3d11f7ba52edbd5e0608c3d1 (MD5)
    Ende des Embargo-Zeitraums:
    2024-06-26