Gast ::
Time-series cyclic aging data on 48 commercial NMC/graphite Sanyo/Panasonic UR18650E cylindrical cells
2021
Online
DOI: 10.18154/RWTH-2021-04545
URL: https://publications.rwth-aachen.de/record/818642/files/Content_RWTH-2021-04545.pdf
URL: https://publications.rwth-aachen.de/record/818642/files/Rawdata.zip
URL: https://git.rwth-aachen.de/isea/battery-degradation-trajectory-prediction
Einrichtungen
Kurzfassung
This dataset contains time-series data (time, current, voltage, temperature) of a cyclic aging test of 48 lithium-ion battery cells. In the experiment, 48 cells of the same type were aged with the same profile under equal conditions. Prior to aging, the initial performance was determined by a comprehensive begin-of-life (BOL) test. Aging reference parameter tests (RPT) were conducted in regular intervals to determine the current cell performance. The cells used in this investigation are Sanyo/Pana-sonic UR18650E cylindrical cells which are commercially available and produced in large quantities in an established fabrication process. This type uses a carbon anode and NMC as a cathode material. The dataset consists of two files. The file Rawdata.zip contains individual .csv files with the time series data for every tested cell. The file Content.pdf contains information about the test setup, data, and license.
OpenAccess:
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ZIP
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Externer link: Volltext
Dokumenttyp
Dataset
Sprache
English
Interne Identnummern
RWTH-2021-04545
Datensatz-ID: 818642
Beteiligte Länder
Germany
Related:
Journal Article
One-shot battery degradation trajectory prediction with deep learning
Journal of power sources 230024 (2021) [10.1016/j.jpowsour.2021.230024]
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