Understanding battery aging mechanisms

Dongjiang Li, Dmitri L. Danilov, Henk Jan Bergveld, Rüdiger A. Eichel, Peter H.L. Notten

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

The aging mechanisms of Li-ion batteries are introduced in this chapter, and are experimentally investigated and modeled. From SEM it is found that the thickness of the solid electrolyte interface layers at the graphite electrode surface increase upon aging. Deformation of the graphite structure is confirmed by Raman spectroscopy. XPS analyses show that transition metals dissolved from cathode are deposited onto the graphite electrode. Cathode dissolution at elevated temperatures is further confirmed by ICP measurements. Apart from postmortem analyses, a novel non-destructive approach is proposed to quantify the graphite electrode decay. A comprehensive electrochemistry model is proposed to simulate the irreversible capacity loss under various aging conditions. The dependence of the capacity loss on aging conditions, such as storage state of charge, cycling current, temperature, etc. is simulated and the simulations are in good agreement with the experiments. The degradation model allows researchers to have an in-depth understanding of aging mechanisms and therefore helps manufacturers to improve battery performance by optimizing manufacturing procedures. Moreover, the model can be further used to predict the battery cycle life, which can be used to develop more accurate battery management systems to increase battery efficiency and safety.

LanguageEnglish
Title of host publicationFuture lithium-ion batteries
EditorsAli Eftekhari
Place of PublicationCambridge
PublisherRoyal Society of Chemistry
Chapter9
Pages220-250
Number of pages31
ISBN (Electronic)978-1-78801-612-4, 978-1-78801-760-2
ISBN (Print)978-178801418-2
DOIs
StatePublished - 2 Apr 2019

Publication series

NameRSC Energy and Environment Series
PublisherRSC publishing

Fingerprint

Aging of materials
Graphite electrodes
Cathodes
Graphite
Solid electrolytes
Electrochemistry
Transition metals
Raman spectroscopy
Life cycle
Dissolution
X ray photoelectron spectroscopy
Degradation
Temperature
Scanning electron microscopy
Experiments

Keywords

  • Battery Aging
  • Li-ion

Cite this

Li, D., Danilov, D. L., Bergveld, H. J., Eichel, R. A., & Notten, P. H. L. (2019). Understanding battery aging mechanisms. In A. Eftekhari (Ed.), Future lithium-ion batteries (pp. 220-250). (RSC Energy and Environment Series). Cambridge: Royal Society of Chemistry. DOI: 10.1039/9781788016124-00220
Li, Dongjiang ; Danilov, Dmitri L. ; Bergveld, Henk Jan ; Eichel, Rüdiger A. ; Notten, Peter H.L./ Understanding battery aging mechanisms. Future lithium-ion batteries. editor / Ali Eftekhari. Cambridge : Royal Society of Chemistry, 2019. pp. 220-250 (RSC Energy and Environment Series).
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Li, D, Danilov, DL, Bergveld, HJ, Eichel, RA & Notten, PHL 2019, Understanding battery aging mechanisms. in A Eftekhari (ed.), Future lithium-ion batteries. RSC Energy and Environment Series, Royal Society of Chemistry, Cambridge, pp. 220-250. DOI: 10.1039/9781788016124-00220

Understanding battery aging mechanisms. / Li, Dongjiang; Danilov, Dmitri L.; Bergveld, Henk Jan; Eichel, Rüdiger A.; Notten, Peter H.L.

Future lithium-ion batteries. ed. / Ali Eftekhari. Cambridge : Royal Society of Chemistry, 2019. p. 220-250 (RSC Energy and Environment Series).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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AU - Notten,Peter H.L.

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N2 - The aging mechanisms of Li-ion batteries are introduced in this chapter, and are experimentally investigated and modeled. From SEM it is found that the thickness of the solid electrolyte interface layers at the graphite electrode surface increase upon aging. Deformation of the graphite structure is confirmed by Raman spectroscopy. XPS analyses show that transition metals dissolved from cathode are deposited onto the graphite electrode. Cathode dissolution at elevated temperatures is further confirmed by ICP measurements. Apart from postmortem analyses, a novel non-destructive approach is proposed to quantify the graphite electrode decay. A comprehensive electrochemistry model is proposed to simulate the irreversible capacity loss under various aging conditions. The dependence of the capacity loss on aging conditions, such as storage state of charge, cycling current, temperature, etc. is simulated and the simulations are in good agreement with the experiments. The degradation model allows researchers to have an in-depth understanding of aging mechanisms and therefore helps manufacturers to improve battery performance by optimizing manufacturing procedures. Moreover, the model can be further used to predict the battery cycle life, which can be used to develop more accurate battery management systems to increase battery efficiency and safety.

AB - The aging mechanisms of Li-ion batteries are introduced in this chapter, and are experimentally investigated and modeled. From SEM it is found that the thickness of the solid electrolyte interface layers at the graphite electrode surface increase upon aging. Deformation of the graphite structure is confirmed by Raman spectroscopy. XPS analyses show that transition metals dissolved from cathode are deposited onto the graphite electrode. Cathode dissolution at elevated temperatures is further confirmed by ICP measurements. Apart from postmortem analyses, a novel non-destructive approach is proposed to quantify the graphite electrode decay. A comprehensive electrochemistry model is proposed to simulate the irreversible capacity loss under various aging conditions. The dependence of the capacity loss on aging conditions, such as storage state of charge, cycling current, temperature, etc. is simulated and the simulations are in good agreement with the experiments. The degradation model allows researchers to have an in-depth understanding of aging mechanisms and therefore helps manufacturers to improve battery performance by optimizing manufacturing procedures. Moreover, the model can be further used to predict the battery cycle life, which can be used to develop more accurate battery management systems to increase battery efficiency and safety.

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Li D, Danilov DL, Bergveld HJ, Eichel RA, Notten PHL. Understanding battery aging mechanisms. In Eftekhari A, editor, Future lithium-ion batteries. Cambridge: Royal Society of Chemistry. 2019. p. 220-250. (RSC Energy and Environment Series). Available from, DOI: 10.1039/9781788016124-00220