Cited by 152Advanced Battery Technologies ResearchFault Detection and Control SystemsAdvancements in Battery Materials

Battery Fault Diagnosis and Failure Prognosis for Electric Vehicles Using Spatio-Temporal Transformer Networks

Zhao, Jingyuan, Feng, Xuning, Wang, Junbin, Lian, Yubo, Ouyang, Minggao, Burke, Andrew F.·2023·Applied Energy

Integrity signals

Registry

Crossref · 10.1016/j.apenergy.2023.121949

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

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

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

  • Deep learning models can automatically learn and extract features from data, showing significant advantages for complex time-series data.

    “Deep learning models can automatically learn and extract features from data, showing significant advantages, especially when dealing with complex time-series data.45,46”

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1 of the 63 references couldn’t be matched to a known paper.

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Authors
Zhao, J., Feng, X., Wang, J., Lian, Y., Ouyang, M., & Burke, A. F.
Affiliations
  • University of California, Davis (US)
  • Tsinghua University (CN)
  • BYD (China) (CN)
Corresponding author
  • Ouyang, Minggao
  • Burke, Andrew F.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2023-12
Volume
352
Pages
121949
ISSN
0306-2619 (ISSN-L)
OpenAlex
W4386873880
Cited by
152
References
63
Citations by year
2026: 58 · 2025: 58 · 2024: 35 · 2023: 1
FWCI
11.02
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
Keywords
battery fault diagnosis, failure prediction, electric vehicles, lithium-ion batteries, thermal runaway, spatio-temporal transformer, early warning indicators, onboard sensor data, battery safety

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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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