Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data
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Capacity loss and internal resistance growth are the main indices used to illustrate battery degradation.
“Capacity loss and internal resistance growth have been considered as the main indices used to illustrate battery degradation [13,14].”
From Research on Aging Evolution and Safety Characteristics of Lithium-Ion Batteries Cycling at Low Temperature (2025) · cites this paper as [14]
The Introduction (page unavailable) says battery degradation reduces capacity and increases internal resistance, supporting their use as signs of degradation. It does not identify those two as the main indices; it instead calls state of health and remaining useful life the primary indicators of battery health. (LLM, conf=0.86)
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Cites
Degradation diagnostics for lithium ion cells
Birkl, C. R., Roberts, M. R., McTurk, E., Bruce, P. G., & Howey, D. A. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.12.011 · Cited by 1,945 · cited 1× · see citing works
“However, the batteries undergo degradation due to various causes, such as operational and environmental conditions, and this reduces the capacity and increases the internal resistance, leading to degradation of the available energy and power [4, 5].”
BackgroundA review on lithium-ion battery ageing mechanisms and estimations for automotive applications
Barré, A., Deguilhem, B., Grolleau, S., Gérard, M., Suard, F., & Riu, D. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.05.040 · Cited by 1,758 · see citing works
Zhang, Y., Tang, Q., Zhang, Y., Wang, J., Stimming, U., & Lee, A. A. (2020) · Nature Communications · doi:10.1038/s41467-020-15235-7 · Cited by 889 · cited 1× · see citing works
“Hence, accurate prediction of battery SOH and RUL is required to inform the user whether a battery should be replaced and to avoid unexpected capacity fade [6].”
BackgroundShen, S., Sadoughi, M., Li, M., Wang, Z., & Hu, C. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114296 · Cited by 537 · see citing works
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Cited by
Sorted by citations
Wang, R., & Xue, B. (2025) · Batteries · doi:10.3390/batteries11110396 · Cited by 2 · see citing works
“Capacity loss and internal resistance growth have been considered as the main indices used to illustrate battery degradation [13,14].”
- Authors
- Kim, S., Jung, H., Lee, M., Choi, Y. Y., & Choi, J.-I.
- Affiliations
- Yonsei University (KR)
- Corresponding author
- Choi, Yun Young
- Choi, Jung-Il
- Venue
- eTransportation
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 17
- Pages
- 100243
- ISSN
- 2590-1168 (ISSN-L)
- OpenAlex
- W4363651729
- Cited by
- 55
- References
- 4
- Citations by year
- 2026: 11 · 2025: 24 · 2024: 11 · 2023: 9
- FWCI
- 3.99
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- eTransportation (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Funders
- National Supercomputing Center, Korea Institute of Science and Technology Information (KSC-2022-CRE-0131)
- Ministry of Trade, Industry and Energy
- National IT Industry Promotion Agency
- Korea Institute of Energy Technology Evaluation and Planning (20214910100070)
- 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 batteries, capacity fade, degradation trajectory prediction, model-free prediction, deep learning, Bayesian optimization, knot selection, retention level, battery warranty
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