Cited by 421Advanced Battery Technologies ResearchAdvancements in Battery MaterialsReliability and Maintenance Optimization

Production caused variation in capacity aging trend and correlation to initial cell performance

Baumhöfer, Thorsten, Brühl, Manuel, Rothgang, Susanne, Sauer, Dirk Uwe·2014·Journal of Power Sources

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Registry

Crossref · 10.1016/j.jpowsour.2013.08.108

Cites

16 of 16 references verified0 citation errors · 0 not checkable

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  • Other research shows that cells that seemed equal at selection can differ substantially in ageing behaviour.

    “Other research, however, shows that, although the cells that were examined seemed equal at the time of selection, their ageing behaviour can differ substantially (see Section 5 and [23]).”

    From Battery Management System Hardware Concepts: An Overview (2018) · cites this paper as [23]

  • Ref. [23] reviewed changes of different cells' capacities in a batch of 18,650 consumer cells with the same initial capacity and stressed with the same load profile.

    “Ref. [23] has reviewed the changes of different cells' capacities in a batch of 18,650 consumer cells with the same initial capacity and that were stressed with the same load profile.”

    From Battery Management System Hardware Concepts: An Overview (2018) · cites this paper as [23]

  • Even though all cells were selected to have the same initial capacity, the capacity deviates after some cycles.

    “Even though all cells were selected to have the same initial capacity, the capacity deviates after some cycles.”

    From Battery Management System Hardware Concepts: An Overview (2018) · cites this paper as [23]

  • If a remaining capacity of 80% is chosen as an end of life criterion, the tested 18,650 cells showed a cycle life between about 1000 and 1500 cycles.

    “If a remaining capacity of 80% is chosen as an end of life criterion, the tested 18,650 cells showed a cycle life between about 1000 and 1500 cycles.”

    From Battery Management System Hardware Concepts: An Overview (2018) · cites this paper as [23]

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Authors
Baumhöfer, T., Brühl, M., Rothgang, S., & Sauer, D. U.
Affiliations
  • Jülich Aachen Research Alliance (DE)
  • RWTH Aachen University (DE)
Corresponding author
Baumhöfer, Thorsten
Venue
Journal of Power Sources
Publisher
Elsevier BV
Published
2014-02
Volume
247
Pages
332-338
ISSN
0378-7753 (ISSN-L)
OpenAlex
W2134203632
Cited by
421
References
16
Citations by year
2026: 28 · 2025: 37 · 2024: 56 · 2023: 57 · 2022: 44 · 2021: 46 · 2020: 42 · 2019: 32 · 2018: 26 · 2017: 21 · 2016: 16 · 2015: 7 · 2014: 9
FWCI
16.61
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Power Sources (publishedVersion)
  • RWTH Publications (RWTH Aachen) (submittedVersion)
Funders
Bundesministerium für Bildung und Forschung (13N12035)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
Keywords
lithium-ion battery aging, capacity fade, cell-to-cell variability, manufacturing variability, data mining, linear regression, batch classification, mass production

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