Effects of Nanoparticle Geometry and Size Distribution on Diffusion Impedance of Battery Electrodes
Name
Bazant_Effects of nanoparticle.pdf
Size
1.19 MB
Format
Adobe PDF
Checksum (MD5)
3addf30cd8e181ff9b8f09c833561a2e
Author(s)
Song, Juhyun
Bazant, Martin Z.
Date Issued
November 2012
Journal
Journal of The Electrochemical Society
Publisher
The Electrochemical Society
Citation
Song, J., and M. Z. Bazant. “Effects of Nanoparticle Geometry and Size Distribution on Diffusion Impedance of Battery Electrodes.” Journal of the Electrochemical Society 160.1 (2012): A15–A24. © 2012 The Electrochemical Society
Version
Final published version
Abstract
The short diffusion lengths in insertion battery nanoparticles render the capacitive behavior of bounded diffusion, which is rarely observable with conventional larger particles, now accessible to impedance measurements. Coupled with improved geometrical characterization, this presents an opportunity to measure solid diffusion more accurately than the traditional approach of fitting Warburg circuit elements, by properly taking into account the particle geometry and size distribution. We revisit bounded diffusion impedance models and incorporate them into an overall impedance model for different electrode configurations. The theoretical models are then applied to experimental data of a silicon nanowire electrode to show the effects of including the actual nanowire geometry and radius distribution in interpreting the impedance data. From these results, we show that it is essential to account for the particle shape and size distribution to correctly interpret impedance data for battery electrodes. Conversely, it is also possible to solve the inverse problem and use the theoretical “impedance image” to infer the nanoparticle shape and/or size distribution, in some cases, more accurately than by direct image analysis. This capability could be useful, for example, in detecting battery degradation in situ by simple electrical measurements, without the need for any imaging.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1149/2.023301jes
