RUL Prediction for Lithium-ion Batteries Based on CSFSSA-ELM
Given the challenges in applying the extreme learning machine (ELM) to predict the remaining useful life (RUL) of lithium-ion batteries, such as unstable predictions and low accuracy, this paper proposes a Cubic sine-cosine firefly-enhanced sparrow search algorithm - extreme learning machine (CSFSSA...
Tallennettuna:
| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Chinês |
| Julkaistu: |
Editorial Office of Control and Information Technology
2025-10-01
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| Sarja: | Kongzhi Yu Xinxi Jishu |
| Aiheet: | |
| Linkit: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.05.700 |
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