Accelerated aging characterization of lithium-ion cells: Using sensitivity analysis to identify the stress factors relevant to cyclic aging

Tanja Gewald, Adrian Candussio, Leo Wildfeuer, Dirk Lehmkuhl, Alexander Hahn, Markus Lienkamp

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

As storage technology in electric vehicles, lithium-ion cells are subject to a continuous aging process during their service life that, in the worst case, can lead to a premature system failure. Battery manufacturers thus have an interest in the aging prediction during the early design phase, for which semi-empirical aging models are often used. The progress of aging is dependent on the application-specific load profile, more precisely on the aging-relevant stress factors. Still, a literature review reveals a controversy on the aging-relevant stress factors to use as input parameters for the simulation models. It shows that, at present, a systematic and efficient procedure for stress factor selection is missing, as the aging characteristic is cell-specific. In this study, an accelerated sensitivity analysis as a prior step to aging modeling is proposed, which is transferable and allows to determine the actual aging-relevant stress factors for a specific lithium-ion cell. For the assessment of this accelerated approach, two test series with different acceleration levels and cell types are performed and evaluated. The results show that a certain amount of charge throughput, 100 equivalent full cycles in this case, is necessary to conduct a statistically significant sensitivity analysis.

Original languageEnglish
Article number6
JournalBatteries
Volume6
Issue number1
DOIs
StatePublished - Mar 2020

Keywords

  • Accelerated aging
  • Aging characterization
  • Aging model
  • Cyclic aging
  • Design of experiments
  • Lithium-ion cell
  • Sensitivity analysis
  • Stress factors

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