Performance comparison of four lithium–ion battery technologies under calendar aging
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EIS contains rich information on all materials properties, interfacial phenomena and electrochemical reactions.
“electrochemical impedance spectroscopy (EIS), which obtains the impedance over a wide range of frequencies by measuring the current response to a voltage perturbation or vice versa19–21, is known to contain rich information on all materials properties, interfacial phenomena and electrochemical reactions.”
From Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020) · cites this paper as [21]
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References 32 · Cited by 171
- Authors
- Eddahech, A., Briat, O., & Vinassa, J.-M.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Eddahech, Akram
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 84
- Issue
- 84
- Pages
- 542-550
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2043112335
- Cited by
- 171
- References
- 32
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 12 · 2023: 14 · 2022: 14 · 2021: 16 · 2020: 24 · 2019: 11 · 2018: 16 · 2017: 22 · 2016: 13 · 2015: 4
- FWCI
- 18.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy (publishedVersion)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- French National Research Agency
- 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, calendar aging, battery degradation, lithium iron phosphate, LiMn2O4, state of charge, temperature effects, battery impedance, internal resistance, energy efficiency, battery chemistry comparison
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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