{
  "abstract": "Studies that use the same public lithium-ion battery dataset do not necessarily evaluate the same state-of-health (SOH) estimation task; reported performance depends on how the experiment is defined. We mapped 408 studies and then examined a nested set of 168 with SOH-REF. This subset was not prespecified as representative, so its percentages are descriptive only. All four Core interpretability elements could be identified in 95/168 studies (56.5%). Same-cell and unseen-cell tests addressed different generalization settings. Preprocessing fitting scope was assessable in 40/168 studies (23.8%), whereas leakage risk was assessable in 64/168 (38.1%). Uncertainty evidence was uncommon, and explicit article-reported public implementation evidence was rare. These classifications reflect what the papers reported; NOT_ASSESSABLE does not indicate poor methodology or establish whether leakage was present. An accuracy value is therefore most informative when accompanied by the health-target definition, physical train-test relationship, preprocessing fitting scope, metric context, and aggregation procedure. More explicit reporting of these elements would make public-dataset SOH benchmarks easier to interpret and reuse without imposing a single evaluation design.",
  "abstract_shown": true,
  "affiliations": [
    "School of Intelligent Manufacturing, Nanjing Polytechnic Institute, Nanjing 210048, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Qingde Li",
      "orcid": "0009-0001-0455-177X"
    },
    {
      "affs": [
        0
      ],
      "name": "Renqun Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3pg1qpvz25hkr.bib",
  "cited_by": 0,
  "doi": "10.3390/batteries12110462",
  "fulltext_url": null,
  "id": "3pg1qpvz25hkr",
  "issns": [
    "2313-0105"
  ],
  "landing_url": "https://www.mdpi.com/2313-0105/12/11/462",
  "language": null,
  "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": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-04",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/3pg1qpvz25hkr.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:21:10Z",
      "native_id": "10.3390/batteries12110462",
      "source": "crossref",
      "url": "https://www.mdpi.com/2313-0105/12/11/462"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "issn:2313-0105",
      "subfield": "electrochemistry-energy"
    }
  ],
  "title": "Interpreting Public-Dataset SOH Benchmarks: A Systematic Review of Evaluation Protocols and Reproducibility Evidence",
  "title_text": "Interpreting Public-Dataset SOH Benchmarks: A Systematic Review of Evaluation Protocols and Reproducibility Evidence",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T00:21:11Z",
  "url": "https://research.draconitic.com/paper/3pg1qpvz25hkr",
  "venue": "Batteries",
  "versions": []
}