Cited by 116Battery Modeling and ManagementAdvancements in Battery MaterialsExtraction and Separation Processes

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

A comprehensive single-particle-degradation model for battery state-of-health prediction

Open access
Li, J., Landers, R.G., Park, J.·2020·Journal of Power Sources

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jpowsour.2020.227950

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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Claims other papers make about this one

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Citations

Cites

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Research works printed but not linked: 1

  1. Lin, 2013, A comprehensive capacity fade model and analysis for Li-ion batteries, J. Electrochem. Soc., 160, A1701, 10.1149/2.040310jes · DOI

Cited by

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Metadata

Authors
Li, J., Landers, R. G., & Park, J.
Affiliations
Missouri University of Science and Technology (US)
Corresponding author
Park, J.
Venue
Journal of Power Sources
Publisher
Elsevier BV
Published
2020-04
Volume
456
Pages
227950
ISSN
0378-7753 (ISSN-L)
OpenAlex
W3012214204
Cited by
116
References
33
Citations by year
2026: 8 · 2025: 23 · 2024: 22 · 2023: 21 · 2022: 25 · 2021: 14 · 2020: 3
FWCI
5.83
Type
journal article
Language
en
Open access
Locations
Journal of Power Sources (acceptedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Materials Science › Metals and Alloys › Extraction and Separation Processes
Keywords
lithium-ion battery degradation, battery state of health estimation, single particle model, battery management systems, capacity fade, metal dissolution, lithium loss, anode degradation, cathode degradation, effective transport properties

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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.

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