View in EDS

A transferable deep learning framework for cross-chemistry and cross-scale state of health estimation in lithium-ion batteries.

Saved in:
Bibliographic Details
Title: A transferable deep learning framework for cross-chemistry and cross-scale state of health estimation in lithium-ion batteries.
Authors: Pang, Hui1, panghui@xaut.edu.cn, Qu, Xudong1, Chen, Kaiqiang1, Yan, Xiangping1, Burke, Andrew F.2, Zhao, Jingyuan1,2, jyzhao@ucdavis.edu
Source: Energy; Jul2026, Vol. 354, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193504321
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A transferable deep learning framework for cross-chemistry and cross-scale state of health estimation in lithium-ion batteries.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Pang%2C+Hui%22">Pang, Hui</searchLink><relatesTo>1</relatesTo>, <i>panghui@xaut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Qu%2C+Xudong%22">Qu, Xudong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Kaiqiang%22">Chen, Kaiqiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yan%2C+Xiangping%22">Yan, Xiangping</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Burke%2C+Andrew+F%2E%22">Burke, Andrew F.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Jingyuan%22">Zhao, Jingyuan</searchLink><relatesTo>1,2</relatesTo>, <i>jyzhao@ucdavis.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>; Jul2026, Vol. 354, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193504321
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.energy.2026.141079
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: A transferable deep learning framework for cross-chemistry and cross-scale state of health estimation in lithium-ion batteries.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pang, Hui
      – PersonEntity:
          Name:
            NameFull: Qu, Xudong
      – PersonEntity:
          Name:
            NameFull: Chen, Kaiqiang
      – PersonEntity:
          Name:
            NameFull: Yan, Xiangping
      – PersonEntity:
          Name:
            NameFull: Burke, Andrew F.
      – PersonEntity:
          Name:
            NameFull: Zhao, Jingyuan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 03605442
          Numbering:
            – Type: volume
              Value: 354
          Titles:
            – TitleFull: Energy
              Type: main
ResultId 1