Journalartikel

Jahr der Veröffentlichung: 2022

Zeitschrift: Scientific Data

Bandnummer: 9

Heftnummer: 1

eISSN: 2052-4463

Open Access Status: Gold

DOI Link: https://doi.org/10.1038/s41597-022-01217-5

Verlag: Nature Research

Abstract: 
LiNixCoyMn1-x-yO2 (NCM) based cathodes for Li-ion batteries (LIBs) are of great interest due to their higher energy density and lower costs compared to conventional LiCoO2 based cathodes. However, NCM based cathodes suffer from instabilities of the cathode-electrolyte interface resulting in faster capacity fading during long-term cycling. Different NCM compositions along with different coatings have been developed to protect the interface. However, a detailed understanding why and how coatings work is still missing. Up to now, no state-of-the-art NCM or coating material have been agreed upon yet, making it difficult to benchmark the performance of the coating material. Undefined standards complicate the use of experimentally produced data for model-based studies, which are a key element in assessing the beneficial effect of coatings. In this work, we therefore describe reproducible long-term cycling data of NCM based cathodes with and without an Al2O3 based coating. The data set is provided to be used for parameter fitting and/or as training data to encourage the simulation of the performance of LIBs in model-based approaches.

Harvard-Zitierstil: Negi, R. and Elm, M. (2022) Reproducible long-term cycling data of Al₂O₃ coated LiNi_0.70Co_0.15Mn_0.15O₂ cathodes for lithium-ion batteries, Scientific Data, 9(1), Article 127. https://doi.org/10.1038/s41597-022-01217-5

APA-Zitierstil: Negi, R., & Elm, M. (2022). Reproducible long-term cycling data of Al₂O₃ coated LiNi_0.70Co_0.15Mn_0.15O₂ cathodes for lithium-ion batteries. Scientific Data. 9(1), Article 127. https://doi.org/10.1038/s41597-022-01217-5