Lithium battery SOH prediction based on Bi-LSTM attention mechanism

LI Suyang; CHEN Fuan

doi:10.3969/j.issn.1002-087X.2022.07.009

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Chinese Journal of Power Sources ›› 2022, Vol. 46 ›› Issue (7) : 739-742. DOI: 10.3969/j.issn.1002-087X.2022.07.009

Research and design: Chemical power sources

Lithium battery SOH prediction based on Bi-LSTM attention mechanism

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2022, 46(7): 739-742 https://doi.org/10.3969/j.issn.1002-087X.2022.07.009

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Received	Published
2022-01-27	2022-07-20
Issue Date
2024-10-21

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