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Particle Tracking Methods for Battery Precipitation Reactions

Koberna, Trent [Colorado School of Mines Department of Mechanical Engineering, Golden, CO (United States)] (ORCID:0009000401410535)·DeCaluwe, Steven C. [Colorado School of Mines Department of Mechanical Engineering, Golden, CO (United States)] (ORCID:0000000233568247)
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Abstract

Precipitation and deposition reactions at solid–liquid interfaces play a key role in a number of battery chemistries, including Li-ion, so-called “anode free” batteries, zinc-based battery chemistries, and lithium–sulfur, among others. Although models with heterogeneous nucleation and growth phenomena are present in the literature, papers have not to date provided much detail on the numerical algorithms used to track the temporal evolution of the particle size distribution of deposits on electrode surfaces. In this paper we examine several approaches to discretize and track the particle size distribution, demonstrating that common approaches lead to anomalous flattening of the particle size distribution. We conclude by presenting an algorithm that preserves the appropriate particle size distribution during particle growth.

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Koberna, Trent [Colorado School of Mines Department of Mechanical Engineering, Golden, CO (United States)] (ORCID:0009000401410535), DeCaluwe, Steven C. [Colorado School of Mines Department of Mechanical Engineering, Golden, CO (United States)] (ORCID:0000000233568247). 2026-05-21. Particle Tracking Methods for Battery Precipitation Reactions. https://doi.org/10.1021/acs.jpcc.6c00310

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