A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM
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Ren et al.'s PSO-LSTM network outperformed others, achieving a 0.43% reduction in MSE for isothermal estimation.
“The resulting PSO-LSTM network outperformed others, achieving a 0.43% reduction in MSE for isothermal estimation.”
From Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches (2025) · cites this paper as [80]
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Weather condition-based hybrid models for multiple air pollutants forecasting and minimisation
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- Authors
- Ren, X., Liu, S., Yu, X., & Dong, X.
- Affiliations
- Qilu University of Technology (CN)
- Corresponding author
- Liu, Shulin
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 234
- Pages
- 121236
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W3172280330
- Cited by
- 375
- References
- 27
- Citations by year
- 2026: 41 · 2025: 78 · 2024: 108 · 2023: 85 · 2022: 53 · 2021: 9
- FWCI
- 20.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Natural Science Foundation of Shandong Province (ZR2020ME206, ZR2020QF064)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- state of charge estimation, lithium-ion batteries, battery management systems, long short-term memory neural network, particle swarm optimization, LSTM hyperparameter optimization, noise injection, interference suppression
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 ›
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