Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm Article Swipe
Pei Tang
,
Zhen Qiu
,
Zhongran Yao
,
Jiahao Pan
,
D. Cheng
,
Xiaoyong Gu
,
Changcheng Sun
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-11934-7
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-11934-7
Accurate prediction of lithium-ion batteries' remaining useful life (RUL) is critical for system reliability and safety. This study proposes a novel forecasting framework that fuses modal decomposition with the advanced PatchTST model. Initially, the Spearman correlation coefficient is employed to identify features strongly associated with battery capacity. The Variational Mode Decomposition (VMD) method is then used to break down the raw capacity sequence into a set of intrinsic mode functions. To enhance decomposition quality, the Whale Optimization Algorithm (WOA) optimizes the number of modes K and penalty factor α by minimizing mean envelope entropy. The selected features and decomposed components are subsequently input into a PatchTST network, whose hyperparameters are tuned via the Sparrow Search Algorithm (SSA), to predict battery RUL. Experimental validation on the NASA Battery dataset and NASA Randomized Battery Usage Dataset demonstrates that the proposed WOA-VMD-SSA-PatchTST model consistently outperforms baseline models, including CNN, GRU and PatchTST, achieving superior prediction accuracy and robustness.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-11934-7
- https://www.nature.com/articles/s41598-025-11934-7.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412601651
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412601651Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-025-11934-7Digital Object Identifier
- Title
-
Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-23Full publication date if available
- Authors
-
Pei Tang, Zhen Qiu, Zhongran Yao, Jiahao Pan, D. Cheng, Xiaoyong Gu, Changcheng SunList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-11934-7Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-025-11934-7.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-025-11934-7.pdfDirect OA link when available
- Concepts
-
Battery (electricity), Computer science, Lithium (medication), Lithium-ion battery, Ion, Algorithm, Chemistry, Physics, Medicine, Thermodynamics, Internal medicine, Organic chemistry, Power (physics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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31Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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