Cited by 73Advanced Battery Technologies ResearchAdvancements in Battery MaterialsFuzzy Logic and Control Systems

Fuzzy logic modeling of EIS measurements on lithium-ion batteries

Singh, Pritpal, Vinjamuri, Ramana, Wang, Xiquan, Reisner, David·2006·Electrochimica Acta

Integrity signals

Registry

Crossref · 10.1016/j.electacta.2005.02.143

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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”

Cites

Flagged first, then by citations

Cited by

Authors
Singh, P., Vinjamuri, R., Wang, X., & Reisner, D.
Affiliations
Villanova University (US)
Corresponding author
Singh, Pritpal
Venue
Electrochimica Acta
Publisher
Elsevier BV
Published
2006-01
Volume
51
Issue
8-9
Pages
1673-1679
ISSN
0013-4686 (ISSN-L)
OpenAlex
W2018812579
Cited by
73
References
3
Citations by year
2026: 4 · 2025: 5 · 2024: 4 · 2023: 9 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 4 · 2012: 6
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
Electrochimica Acta (publishedVersion)
Funders
  • Small Business Technology Transfer (2R42HL64984-02)
  • National Institutes of Health
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
Keywords
lithium-ion batteries, fuzzy modeling, state of health estimation, state of charge estimation, electrochemical impedance spectroscopy, voltage recovery, charge-discharge cycling, battery cycle life

About these checks

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review