BibTex format
@article{Nguyen:2020:10.1038/s41524-020-00386-4,
author = {Nguyen, T-T and Demorti猫re, A and Fleutot, B and Delobel, B and Delacourt, C and Cooper, S},
doi = {10.1038/s41524-020-00386-4},
journal = {npj Computational Materials},
title = {The electrode tortuosity factor: why the conventional tortuosity factor is not well suited for quantifying transport in porous Li-ion battery electrodes and what to use instead},
url = {http://dx.doi.org/10.1038/s41524-020-00386-4},
volume = {6},
year = {2020}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - The tortuosity factor of porous battery electrodes is an important parameter used to correlate electrode microstructure with performance through numerical modeling. Therefore, having an appropriate method for the accurate determination of tortuosity factors is critical. This paper presents a numerical approach, based on simulations performed on microstructural image data, which enables a comparison between two common experimental methods. Several key issues with the conventional “flow through” type tortuosity factor are highlighted, when used to characterise electrodes. As a result, a new concept called the “electrode tortuosity factor” is introduced, which captures the transport processes relevant to porous electrodes better than the “flow through” type tortuosity factor. The simulation results from this work demonstrate the importance of non-percolating (“dead-end”) pores in the performance of real electrodes. This is an important result for optimizing electrode design that should be considered by electrochemical modelers. This simulation tool is provided as an open-source MATLAB application and is freely available online as part of the TauFactor platform.
AU - Nguyen,T-T
AU - Demorti猫re,A
AU - Fleutot,B
AU - Delobel,B
AU - Delacourt,C
AU - Cooper,S
DO - 10.1038/s41524-020-00386-4
PY - 2020///
SN - 2057-3960
TI - The electrode tortuosity factor: why the conventional tortuosity factor is not well suited for quantifying transport in porous Li-ion battery electrodes and what to use instead
T2 - npj Computational Materials
UR - http://dx.doi.org/10.1038/s41524-020-00386-4
UR - https://www.nature.com/articles/s41524-020-00386-4
VL - 6
ER -