Image based modelling of microstructural heterogeneity in LiFePO4 electrodes for Li-ion batteries
By S. J. Cooper, D. Eastwood, J. Gelb, Gaetan Damblanc, D. Brett, R. Bradley, P. J. Withers, Peter D. Lee, A. Marquis, Nigel P. Brandon and 1 more. 2014
160 citations recorded by the source corpus.
Battery and fuel cell simulations commonly assume that electrodes are macro-homogeneous and isotropic. These simulations have been used to successfully model performance, but give little insight into predicting failure. In Li-ion battery electrodes, it is understood that local tortuosity impacts charging rates, which may cause increased degradation. This report describes a novel approach to quantifying tortuosity based on a heat transfer analogy applied to X-ray microscopy data of a commercially available LiFePO4 electrode. This combination of X-ray imaging and image-based simulation reveals the microscopic performance of the electrode; notably, the tortuosity was observed to vary significantly depending on the direction considered, which suggests that tortuosity might best be quantified using vectors rather than scalars.
Subfields: Automotive Engineering, Electrical and Electronic Engineering, Surfaces, Coatings and Films
View Paper: https://www.semanticscholar.org/paper/d3912b971b6c5bc308b239656f6dd8d4ca35272a
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In Automotive Engineering
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Citations in the corpus
- TauFactor: An open-source application for calculating tortuosity factors from tomographic data (2016, background): “40 Over the past decade, high resolution 3D tomographic imaging has be41 come widely available, which has created the opportunity for the tortu42 osity factor to be quantified directly from microstructure using simulation 43 [15, 16, 17, 18, 19], although the approaches vary significantly in terms o”
- Tortuosity in electrochemical devices: a review of calculation approaches (2018, methodology): “To extract a single tortuosity value for each subvolume, the concept of the characteristic tortuosity τC was introduced: [63, 85]”
- Tortuosity of porous media: Image analysis and physical simulation (2021, unknown): “Basically, the 18-neighbor-connectivity criterion is used in the LBM simulation because of the adoption of the D3Q19 lattice arrangement, while the RWM, FDM and FVM simulations follow the 6-neighbor-connectivity criterion which only permits direct exchange of dependent variables occurring between ad”