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Detecting Abnormality of Battery Lifetime from First-Cycle Data Using Few-Shot Learning.
Tang, Xiaopeng; Lai, Xin; Zou, Changfu; Zhou, Yuanqiang; Zhu, Jiajun; Zheng, Yuejiu; Gao, Furong.
Afiliação
  • Tang X; Dept. Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, SAR 999077, China.
  • Lai X; Science Unit, Lingnan University, Tuen Mun, Hong Kong, SAR 999077, China.
  • Zou C; School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
  • Zhou Y; Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, 41296, Sweden.
  • Zhu J; Dept. Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, SAR 999077, China.
  • Zheng Y; School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
  • Gao F; School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Adv Sci (Weinh) ; 11(6): e2305315, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38081795
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China