Characterizing aging effects of lithium ion batteries by impedance spectroscopy
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The fit of an equivalent circuit model to EIS is often non-unique and it is questionable whether a purely electrical model can capture the physical, chemical and materials properties and processes of a battery.
“the fit is often non-unique and it is questionable whether a purely electrical model can capture the physical, chemical and materials properties and processes of a battery”
From Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020) · cites this paper as [27]
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- Authors
- Tröltzsch, U., Kanoun, O., & Tränkler, H.-R.
- Affiliations
- Universität der Bundeswehr München (DE)
- Corresponding author
- Tröltzsch, Uwe
- ORCID
- Kanoun, Olfa
- Venue
- Electrochimica Acta
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 51
- Issue
- 8-9
- Pages
- 1664-1672
- ISSN
- 0013-4686 (ISSN-L)
- OpenAlex
- W2009292868
- Cited by
- 427
- References
- 16
- Citations by year
- 2026: 10 · 2025: 28 · 2024: 27 · 2023: 41 · 2022: 42 · 2021: 35 · 2020: 30 · 2019: 31 · 2018: 26 · 2017: 33 · 2016: 19 · 2015: 31 · 2014: 22 · 2013: 15 · 2012: 11
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electrochimica Acta (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
- Keywords
- lithium-ion batteries, battery degradation, impedance spectroscopy, porous composite electrodes, parameter estimation, evolution strategies, Levenberg-Marquardt algorithm, series resistance, charge transfer resistance, Warburg coefficient, capacity fade
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