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Reproducible long-term cycling data of Al(2)O(3) coated LiNi(0.70)Co(0.15)Mn(0.15)O(2) cathodes for lithium-ion batteries

LiNi(x)Co(y)Mn(1-x-y)O(2) (NCM) based cathodes for Li-ion batteries (LIBs) are of great interest due to their higher energy density and lower costs compared to conventional LiCoO(2) based cathodes. However, NCM based cathodes suffer from instabilities of the cathode-electrolyte interface resulting i...

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Detalles Bibliográficos
Autores principales: Negi, Rajendra S., Elm, Matthias T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967842/
https://www.ncbi.nlm.nih.gov/pubmed/35354832
http://dx.doi.org/10.1038/s41597-022-01217-5
Descripción
Sumario:LiNi(x)Co(y)Mn(1-x-y)O(2) (NCM) based cathodes for Li-ion batteries (LIBs) are of great interest due to their higher energy density and lower costs compared to conventional LiCoO(2) 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 Al(2)O(3) 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.