articleJournal of Power SourcesMay 12, 2012Closed access

Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data

MEMadeleine EckerJBJochen Bernhard GerschlerJVJ. VogelSKStefan KäbitzFHFriedrich Hust

RWTH Aachen University

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Abstract

No abstract available for this paper.

Citation impact

622
total citations
FWCI
46.35
Percentile
100%
References
23
Citations per year

Authors

7

Topics & keywords

Topics
Keywords
  • Battery (electricity)
  • Accelerated aging
  • Electric vehicle
  • Lithium-ion battery
  • State of health
  • State of charge
  • Lithium (medication)
  • Automotive engineering
UN Sustainable Development Goals
  • Affordable and clean energy
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