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...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
zhejiang electric power
2026-01-01
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| Серии: | Zhejiang dianli |
| Предметы: | |
| Online-ссылка: | https://zjdl.cbpt.cnki.net/portal/journal/portal/client/paper/ee58c1ad2909cf0249370cfc0d4634f7 |
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