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Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries

Knorr, Tobias and Hein, Simon and Prifling, Benedikt and Neumann, Matthias and Danner, Timo and Schmidt, Volker and Latz, Arnulf (2022) Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries. Energies. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en15217821. ISSN 1996-1073.

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Item URL in elib:https://elib.dlr.de/191915/
Document Type:Article
Title:Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Knorr, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hein, SimonUNSPECIFIEDhttps://orcid.org/0000-0002-6728-9983UNSPECIFIED
Prifling, BenediktUniversity of Ulmhttps://orcid.org/0000-0002-2952-0208UNSPECIFIED
Neumann, MatthiasUniversity of UlmUNSPECIFIEDUNSPECIFIED
Danner, TimoUNSPECIFIEDhttps://orcid.org/0000-0003-2336-6059UNSPECIFIED
Schmidt, VolkerUniversity of UlmUNSPECIFIEDUNSPECIFIED
Latz, ArnulfUNSPECIFIEDhttps://orcid.org/0000-0003-1449-8172UNSPECIFIED
Date:22 October 2022
Journal or Publication Title:Energies
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.3390/en15217821
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1996-1073
Status:Published
Keywords:Li-ion battery; microstructure-resolved simulation; carbon binder domain; thick electrode; stochastic 3D microstructure modeling
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Electrochemical Energy Storage
DLR - Research area:Energy
DLR - Program:E SP - Energy Storage
DLR - Research theme (Project):E - Electrochemical Storage
Location: Ulm
Institutes and Institutions:Institute of Engineering Thermodynamics > Computational Electrochemistry
Deposited By: Wiedemann, Johannes
Deposited On:15 Dec 2022 11:18
Last Modified:19 Feb 2024 09:57

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