{
  "abstract": "Lithium plating is governed by microscale transport heterogeneity, yet conventional macroscale battery models resolve only spatially-averaged quantities. In this work, we extend the dual-continuum (DC) and Doyle-Fuller-Newman (DFN) frameworks to predict local lithium-plating onset within negative-electrode microstructures while retaining the computational efficiency of upscaled approaches. A closure problem for electrolyte transport is introduced to link averaged electrolyte variables to underlying geometric features, permitting reconstruction of local lithium-plating overpotential fields from an upscaled solution. Comparison with direct numerical simulations (DNS) demonstrates that the method accurately identifies regions of highest plating risk. Beyond pinpointing where lithium plating is most likely, the closure is further used to propose a correction to the DC and DFN models, improving predictions of when plating first becomes thermodynamically favourable. We envisage two primary applications for this framework: (i) in electrode design, to efficiently evaluate candidate microstructures without resorting to computationally intensive DNS; (ii) to improve upscaled models, by enhancing their estimation of when lithium plating becomes favourable. This framework is readily extendable to study other degradation mechanisms driven by microscale transport heterogeneity. Finally, the closure problem opens a pathway to understanding the geometrical features that drive lithium-plating risk.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "Isaac B Paten"
    },
    {
      "name": "Martin Petitfrére"
    },
    {
      "name": "Céline Merlet"
    },
    {
      "name": "Romain de Loubens"
    },
    {
      "name": "Michel Quintard"
    },
    {
      "name": "Yohan Davit"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/898qe20a8ratb.bib",
  "cited_by": 0,
  "doi": "10.1149/1945-7111/ae959c",
  "fulltext_url": null,
  "id": "898qe20a8ratb",
  "issns": [
    "0013-4651",
    "1945-7111"
  ],
  "landing_url": "https://hal.science/hal-05757049v1",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.chim"
    ],
    [
      "hal",
      "1.chim.geni"
    ],
    [
      "hal",
      "1.chim.othe"
    ],
    [
      "openalex",
      "2203|Advanced Battery Technologies Research"
    ]
  ],
  "openalex": "W7172524447",
  "pdf_url": "https://hal.science/hal-05757049/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-21",
  "publisher": "Electrochemical Society / IOPscience",
  "ris": "https://research.draconitic.com/paper/898qe20a8ratb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:37Z",
      "native_id": "hal-05757049",
      "source": "hal",
      "url": "https://hal.science/hal-05757049v1"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "hal:0.chim",
      "subfield": "general"
    }
  ],
  "title": "Predicting Local Lithium-Plating Onset with Upscaled Models",
  "title_text": "Predicting Local Lithium-Plating Onset with Upscaled Models",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:37Z",
  "url": "https://research.draconitic.com/paper/898qe20a8ratb",
  "venue": "Journal of The Electrochemical Society",
  "versions": []
}