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26aa06e8001a8cb2da54 · Development of a Robust Early-Stage Thermal Runaway Detection Model for Lithium-ion Batteries

Development of a Robust Early-Stage Thermal Runaway Detection Model for Lithium-ion Batteries

This paper presents the development of a fast-responding and accurate detection model for early-stage thermal runaway of a lithium-ion battery utilizing acoustics and a deep learning paradigm. A series of single-cell lithium-ion battery tests is conducted

Официальный источник · 2024-10-22

Полные импортированные сведения карточки
{
  "title_en": "Development of a Robust Early-Stage Thermal Runaway Detection Model for Lithium-ion Batteries",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2024-10-22",
  "date_original": "October 22, 2024",
  "url": "https://www.nist.gov/publications/development-robust-early-stage-thermal-runaway-detection-model-lithium-ion-batteries",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Wai Cheong Tam , Jian Chen, Wei Tang, Qi Tong , Hongqiang Fang, Anthony Putorti",
  "abstract_excerpt_en": "This paper presents the development of a fast-responding and accurate detection model for early-stage thermal runaway of a lithium-ion battery utilizing acoustics and a deep learning paradigm. A series of single-cell lithium-ion battery tests is conducted",
  "id": "26aa06e8001a8cb2da54",
  "sources": [
    "NIST Publications"
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  "source_records": [
    {
      "title_en": "Development of a Robust Early-Stage Thermal Runaway Detection Model for Lithium-ion Batteries",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2024-10-22",
      "date_original": "October 22, 2024",
      "url": "https://www.nist.gov/publications/development-robust-early-stage-thermal-runaway-detection-model-lithium-ion-batteries",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Wai Cheong Tam , Jian Chen, Wei Tang, Qi Tong , Hongqiang Fang, Anthony Putorti",
      "abstract_excerpt_en": "This paper presents the development of a fast-responding and accurate detection model for early-stage thermal runaway of a lithium-ion battery utilizing acoustics and a deep learning paradigm. A series of single-cell lithium-ion battery tests is conducted"
    }
  ],
  "translation_state": "none"
}