Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024Evaluating Polyacrylic Acid as a Universal Aqueous Binder for Ni‐Rich Cathodes NMC811 and Si Anodes in Full Cell Lithium‐ion Batteries5citations
  • 2022Advanced Binders for High Performance Lithium-ion Battery Applicationscitations
  • 2022Aqueous Manufacturing of Ni-rich Cathodes Using Polyacrylic Acid as Binder for Lithium-ion Batteriescitations
  • 2022Laser Structuring in Battery Production for Enhancing the Electrochemical Performance Of thick NMC 811 High Energy Electrodescitations
  • 2021Electro-Chemical Modelling of Laser Structured Electrodescitations
  • 2017New large-scale production route for synthesis of lithium nickel manganese cobalt oxide9citations

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Chart of shared publication
Whitmore, Karin
1 / 1 shared
Romio, Martina
1 / 1 shared
Bertoni, Giovanni
1 / 11 shared
Neidhart, Lukas
3 / 3 shared
Vuksanovic, Miljana
3 / 3 shared
Boz, Buket
3 / 4 shared
Boni, Francesco De
1 / 2 shared
Jahn, Marcus
4 / 7 shared
Molaiyan, Palanivel
1 / 5 shared
Ricci, Marco
1 / 3 shared
Höchtl, Michael
2 / 2 shared
Eschelmüller, Bernd
1 / 1 shared
Zheng, Yijing
1 / 6 shared
Pfleging, Wilhelm
1 / 25 shared
Pichler, Franz
1 / 1 shared
Thaler, Alexander
1 / 1 shared
Trifonova, Atanaska
1 / 1 shared
Bärhold, Frank
1 / 1 shared
Legotin, Evgeny
1 / 1 shared
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2024
2022
2021
2017

Co-Authors (by relevance)

  • Whitmore, Karin
  • Romio, Martina
  • Bertoni, Giovanni
  • Neidhart, Lukas
  • Vuksanovic, Miljana
  • Boz, Buket
  • Boni, Francesco De
  • Jahn, Marcus
  • Molaiyan, Palanivel
  • Ricci, Marco
  • Höchtl, Michael
  • Eschelmüller, Bernd
  • Zheng, Yijing
  • Pfleging, Wilhelm
  • Pichler, Franz
  • Thaler, Alexander
  • Trifonova, Atanaska
  • Bärhold, Frank
  • Legotin, Evgeny
OrganizationsLocationPeople

article

Electro-Chemical Modelling of Laser Structured Electrodes

  • Zheng, Yijing
  • Pfleging, Wilhelm
  • Pichler, Franz
  • Fröhlich, Katja
  • Thaler, Alexander
Abstract

A simulation study performed in the scope of the project RealLi! is presented. One of the project’s main goals is to improve NMC811 and graphite electrode cycling capacities at high C-rates. The rapid charging and discharging capability of batteries is improved using laser ablation to introduce structures into the surface of the electrode composite layers. Due to improved transport kinetics, this not only improves the electrochemical properties in the high-current range, but also homogenizes and accelerates the electrolyte wetting during production as a side effect. This is particularly advantageous in thick-film electrodes for providing high energy densities. This study supports the laser structuring process of battery electrodes [1][2] via a virtual optimisation, based on electro-chemical battery models. The electrodes are structured by ultrafast laser ablation, with parallel channels being introduced along the electrode surface. This modification enables an easier electrolyte penetration, a reduced charge transfer resistance, and shortened lithium-ion transport pathways which finally leads to a reduced diffusion overpotential at high C-rates. The geometrical parameters of this process (pitch distance, width, and cross-sectional shape of laser-generated micro-channels) and their impact on cell performance are virtually optimised by simulations. The simulations are based on a homogenised multi-scale model, applied in 2D/3D macroscopic cuts, coupled with 1D microscopic particle cuts. The 2D/3D macroscopic electrolyte transport equations are common concentrated electrolyte equations. The microscopic particle transport equations are either a set of non-linear Fick’s Diffusion equations [3] that are used to describe spherical symmetric NMC811 materials or a set of Cahn-Hilliard equations [4] that consistently describe the phase separating nature of graphite anodes in cylindrically symmetric particles. The underlying numerical method is an implicit-multi-scale finite-element-method [3] that allows for a flexible implementation of such models. The first results of this ongoing project will be presented along with the overall structure of the method and its implementation. The results include geometrical as well as electro-chemical parameter variations and their respective sensitivity analysis. Furthermore, in the discussed electrode geometry the possible anisotropic structure of an electrode (due to particle shape and distribution) has a bigger impact than in unstructured electrodes. The improved transport pathways along the channels, therefore, imply the necessity of a more thorough homogenisation than it is usually done, for example in a Newman-Model approach. A long-term goal of this work is to enable a significant increase in areal energy density, i.e., the use of thicker electrode films and the use of advanced high energy materials in battery electrodes.[1]3D silicon/graphite composite electrodes for high-energy lithium-ion batteries, W. Pfleging et.al., Electrochimica Acta, Volume 317, 2019, Pages 502-508, J Power Sources 145 (5), 2345-2356 [2]Recent progress in laser texturing of battery materials: a review of tuning electrochemical performances, related material development, and prospects for large-scale manufacturing,W. Pfleging,International Journal of Extreme Manufacturing, Vol 3, 2020 [3]Derivation of a multi-scale battery model and its high-performance computing implementation, F. Pichler, Doctoral Thesis, Graz, 2018 [4]Phase Transformation Dynamics in Porous Battery Electrodes, R. Ferguson, M. Z. Bazant, Electrochimica Acta, Volume 146, Pages 89-97, 2014 Figure 1

Topics
  • porous
  • density
  • impedance spectroscopy
  • surface
  • energy density
  • phase
  • simulation
  • anisotropic
  • composite
  • Silicon
  • Lithium
  • particle shape
  • laser ablation