{
  "abstract": "This paper presents HAC-DBAT, a normal-data-only dual-branch Transformer framework for record-level fault recognition and faulty-cell localization in heterogeneous electric-vehicle battery packs. The dataset comprises 88 vehicle records, including 34 normal training records and a held-out test partition of 50 records containing seven labeled faults and 13 labeled faulty cells. On the test partition, the record-level F1-score is 0.9333, the conditional faulty-cell F1-score is 0.8889, and the end-to-end faulty-cell F1-score is 0.8276. The framework integrates validity-masked pack alignment, residual-conditioned dual-branch reconstruction, normal-reference thresholding and hotspot-aware cell ranking. Its evaluation concerns fault-record identification and faulty-cell localization, rather than verified thermal-runaway lead time.",
  "abstract_shown": true,
  "affiliations": [
    "School of Management Science and Engineering, China Jiliang University, Hangzhou 310018, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Xun Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Xinwei Fan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7cv3tpcjhbhjc.bib",
  "cited_by": 0,
  "doi": "10.3390/batteries12110441",
  "fulltext_url": null,
  "id": "7cv3tpcjhbhjc",
  "issns": [
    "2313-0105"
  ],
  "landing_url": "https://www.mdpi.com/2313-0105/12/11/441",
  "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",
      "2203|Advanced Battery Technologies Research"
    ]
  ],
  "openalex": "W7223176442",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/7cv3tpcjhbhjc.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:47Z",
      "native_id": "10.3390/batteries12110441",
      "source": "crossref",
      "url": "https://www.mdpi.com/2313-0105/12/11/441"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "issn:2313-0105",
      "subfield": "electrochemistry-energy"
    }
  ],
  "title": "Normal-Data-Only Fault Detection and Faulty-Cell Localization in Heterogeneous Electric-Vehicle Battery Packs Using a Hotspot-Suppressed and Alarm-Consistent Dual-Branch Attention Transformer",
  "title_text": "Normal-Data-Only Fault Detection and Faulty-Cell Localization in Heterogeneous Electric-Vehicle Battery Packs Using a Hotspot-Suppressed and Alarm-Consistent Dual-Branch Attention Transformer",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:47Z",
  "url": "https://research.draconitic.com/paper/7cv3tpcjhbhjc",
  "venue": "Batteries",
  "versions": []
}