Gast ::
| 001 | 818642 | ||
| 005 | 20250930090624.0 | ||
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2021-04545 |
| 037 | _ | _ | |a RWTH-2021-04545 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM01459 |a Sauer, Dirk Uwe |b 0 |u rwth |
| 245 | _ | _ | |a Time-series cyclic aging data on 48 commercial NMC/graphite Sanyo/Panasonic UR18650E cylindrical cells |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |2 BibTeX |a MISC |
| 336 | 7 | _ | |0 PUB:(DE-HGF)32 |2 PUB:(DE-HGF) |a Dataset |b dataset |m dataset |s 1623335500_15124 |
| 336 | 7 | _ | |0 26 |2 EndNote |a Chart or Table |
| 336 | 7 | _ | |2 DataCite |a Dataset |
| 336 | 7 | _ | |2 ORCID |a DATA_SET |
| 336 | 7 | _ | |2 DINI |a ResearchData |
| 520 | _ | _ | |a 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. |
| 591 | _ | _ | |a Germany |
| 787 | 0 | _ | |0 RWTH-2021-05565 |a Li, Weihan et.al. |d New York, NY [u.a.] : Elsevier, 2021 |i RelatedTo |t One-shot battery degradation trajectory prediction with deep learning |
| 856 | 4 | _ | |u https://git.rwth-aachen.de/isea/battery-degradation-trajectory-prediction |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/818642/files/RWTHPublications_Forschungsdaten_signed.pdf |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/818642/files/Content_RWTH-2021-04545.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/818642/files/Rawdata.zip |y OpenAccess |
| 909 | C | O | |o oai:publications.rwth-aachen.de:818642 |p driver |p VDB |p open_access |p openaire |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM01459 |a RWTH Aachen |b 0 |k RWTH |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
| 915 | _ | _ | |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |a Creative Commons Attribution CC BY 4.0 |
| 920 | 1 | _ | |0 I:(DE-82)618310_20140620 |k 618310 |l Lehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-82)618310_20140620 |
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