View in EDS

Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition †.

Saved in:
Bibliographic Details
Title: Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition †.
Authors: Fu, Linlin1,2, Jiang, Bo1,2, Zhu, Jiangong1,2, Wei, Xuezhe1,2, Dai, Haifeng1,2
Source: Batteries; Jun2025, Vol. 11 Issue 6, p221, 28p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186202119
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition †.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fu%2C+Linlin%22">Fu, Linlin</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Bo%22">Jiang, Bo</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Jiangong%22">Zhu, Jiangong</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wei%2C+Xuezhe%22">Wei, Xuezhe</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Dai%2C+Haifeng%22">Dai, Haifeng</searchLink><relatesTo>1,2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Batteries%22">Batteries</searchLink>; Jun2025, Vol. 11 Issue 6, p221, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186202119
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/batteries11060221
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 221
    Titles:
      – TitleFull: Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition †.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fu, Linlin
      – PersonEntity:
          Name:
            NameFull: Jiang, Bo
      – PersonEntity:
          Name:
            NameFull: Zhu, Jiangong
      – PersonEntity:
          Name:
            NameFull: Wei, Xuezhe
      – PersonEntity:
          Name:
            NameFull: Dai, Haifeng
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 23130105
          Numbering:
            – Type: volume
              Value: 11
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Batteries
              Type: main
ResultId 1