SOH estimation for lithium-ion batteries based on SAO-BiLSTM-KAN
To improve the estimation accuracy of the state of health （SOH） for lithium-ion batteries， a novel estimation method based on snow ablation optimization， bidirectional long short-term memory network and Kolmogorov-Arnold networks （SAO-BiLSTM-KAN） is proposed. Firstly， data is extracted from the batt...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Chinês |
| Julkaistu: |
zhejiang electric power
2026-01-01
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| Sarja: | Zhejiang dianli |
| Aiheet: | |
| Linkit: | https://zjdl.cbpt.cnki.net/portal/journal/portal/client/paper/ee58c1ad2909cf0249370cfc0d4634f7 |
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