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

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    Alternate identifier:
    -
    Related identifier:
    (Is Identical To) https://publikationen.bibliothek.kit.edu/1000168959 - URL
    Creator/Author:
    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)]
    Contributors:
    -
    Title:
    Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
    Additional titles:
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    Description:
    (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 thes... 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.

    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.

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    (Technical Remarks) The data is described in detail in the open-access publication "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell" published in Nature Scientific Data under the DOI: 10.1038/s41597-024-03831-x, also see “Related identifier”. An updated data... The data is described in detail in the open-access publication "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell" published in Nature Scientific Data under the DOI: 10.1038/s41597-024-03831-x, also see “Related identifier”. An updated dataset is published under the DOI 10.35097/1969 (result data, e.g., capacity fade and impedance increase) and 10.35097/kww7jv8ajuvchcah (log data), also see “Related identifier”. Python example code to read, process, and visualize the data is provided in the GitHub repository: https://github.com/energystatusdata/bat-age-data-scripts/ Note: The "cell_eisv2.zip" file in this dataset is incomplete and only contains data for cells P001_1 to P044_2. The corrected file "cell_eisv2_fixed.zip" containing data for all 228 cells P001_1 to P076_3 can be found in the dataset “Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"” with the DOI 10.35097/krk531nmj4bsshha (see “Related identifier”).

    The data is described in detail in the open-access publication "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell" published in Nature Scientific Data under the DOI: 10.1038/s41597-024-03831-x, also see “Related identifier”. An updated dataset is published under the DOI 10.35097/1969 (result data, e.g., capacity fade and impedance increase) and 10.35097/kww7jv8ajuvchcah (log data), also see “Related identifier”. Python example code to read, process, and visualize the data is provided in the GitHub repository: https://github.com/energystatusdata/bat-age-data-scripts/ Note: The "cell_eisv2.zip" file in this dataset is incomplete and only contains data for cells P001_1 to P044_2. The corrected file "cell_eisv2_fixed.zip" containing data for all 228 cells P001_1 to P076_3 can be found in the dataset “Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"” with the DOI 10.35097/krk531nmj4bsshha (see “Related identifier”).

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    Keywords:
    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
    Related information:
    -
    Language:
    -
    Publishers:
    Karlsruhe Institute of Technology
    Production year:
    2024
    Subject areas:
    Computer Science
    Resource type:
    Dataset
    Data source:
    -
    Software used:
    -
    Data processing:
    -
    Publication year:
    2024
    Rights holders:
    Luh, Matthias https://orcid.org/0000-0003-4731-2207

    Blank, Thomas https://orcid.org/0000-0002-7543-5653
    Funding:
    -
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    Name Storage Metadata Upload Action
    Status:
    Published
    Uploaded by:
    kitopen
    Created on:
    2024-02-29
    Archiving date:
    2024-03-07
    Archive size:
    69.4 GB
    Archive creator:
    kitopen
    Archive checksum:
    b2657d4c3d11f7ba52edbd5e0608c3d1 (MD5)
    Embargo period:
    2024-06-26
    The metadata was corrected retroactively. The original metadata will be available after download of the dataset.
    dataset/Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
    DOI: 10.35097/1947
    Publication date: 2024-03-07
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    Rights statement for the dataset
    This work is licensed under
    CC BY 4.0
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    Cite Dataset
    Luh, Matthias; Blank, Thomas (2024): Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. Karlsruhe Institute of Technology. DOI: 10.35097/1947
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