Research Data if the Publication "Analyzing and improving conductive networks in commercial high-energy Ni-rich cathodes"

DOI

Nickel-rich stoichiometries such as NMC811 have gained increasing relevance for lithium-ion-batteries in recent years due to their high specific capacity and reduced use of critical resources. However, low intrinsic electronic conductivity of NMC active materials makes the use of carbon-based additives necessary. Volume fraction and distribution of the carbon-binder-domain (CBD) have a significant impact on the electrode performance. This work combines high-resolution tomography and microstructure-resolved simulations to characterize the three-dimensional transport networks of a commercial NMC811 cathode. FIB-SEM tomography reveals that low CBD volume fractions with suboptimal distribution cause a non-percolating conductive network in the microstructure and thus unfavourably low electronic conductivity. Increasing the CBD content through virtual electrode design enables percolation and enhances electronic conductivity fundamentally. Simulations on both the real and virtually designed structures demonstrate how percolating CBD networks lead to a significantly improved energy density.

Full research data is provided for figures 2c, 3, 5, S2, S3 and S4. Large 3D datasets are available upon request. Discharge curves (experimental and simulation) are provided with cell potential, time and areal discharge capacity.

Identifier
DOI https://doi.org/10.35097/hsHzwAgynDovbKTU
Related Identifier IsIdenticalTo https://publikationen.bibliothek.kit.edu/1000172805
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/hsHzwAgynDovbKTU
Provenance
Creator Lindner, Adrian; Menesklou, Wolfgang; Krewer, Ulrike ORCID logo; Both, Svenja; Hein, Simon; Danner, Timo; Latz, Arnulf
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2024
Rights Open Access; Creative Commons Attribution Share Alike 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-sa/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences