Remaining life prediction of lithium-ion batteries based on CEEMDAN-RVM-LSTM model

NIU Qunfeng; YUAN Qiang; WANG Li; LIU Jiangpeng

doi:10.3969/j.issn.1002-087X.2023.10.017

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Chinese Journal of Power Sources ›› 2023, Vol. 47 ›› Issue (10) : 1313-1318. DOI: 10.3969/j.issn.1002-087X.2023.10.017

Research and design: Chemicalpower sources

Remaining life prediction of lithium-ion batteries based on CEEMDAN-RVM-LSTM model

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 47(10): 1313-1318 https://doi.org/10.3969/j.issn.1002-087X.2023.10.017

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Received	Published
2023-03-02	2023-10-20
Issue Date
2024-10-12

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