articleJournal of Power SourcesDec 13, 2012Closed access

Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods

ANAdnan NuhicTTTarik TerzimehićTSThomas Soczka‐GuthMBMichael BuchholzKDKlaus Dietmayer

Universität Ulm

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

650
total citations
FWCI
20.19
Percentile
100%
References
18
Citations per year

Authors

5

Topics & keywords

Topics
Keywords
  • Prognostics
  • State of health
  • Support vector machine
  • Battery (electricity)
  • Reliability engineering
  • Train
  • Power (physics)
  • Computer science
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