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Dendrite growth model in battery cell combining electrode edge effects and stochastic forces into a Diffusion Limited Aggregation scheme

  • University of North Texas
  • University of Pisa

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

In this paper, we present a new model of dendrite growth in battery cells through theoretical and numerical analysis. We use a statistical model based on the competition between a deterministic electric field and a stochastic force, which both drive the movement of the particles inside the battery cell. The simulation of the dendrite growth is modeled via Diffusion Limited Aggregation. As a major aspect, we point out the key role played by the intense electric field close to the edges of the electrodes, which statistically drives the particles along the electric field lines.

Original languageEnglish
Article number126675
JournalJournal of Power Sources
Volume433
DOIs
StatePublished - 1 Sep 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Dendrite formation
  • Diffusion growth
  • Electrode edge effect
  • Statistical model

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