Remaining life prediction of lithium battery based on CEEMDAN-IGWO-CNN-BiLSTM models

WANG Xu; HU Mingmao; GONG Aihong; GONG Qingshan; HUANG Zhengyin; JIANG Yu; LI Shuaiyu; YAO Zhenghao; CHEN Rui

doi:10.3969/j.issn.1002-087X.2025.05.015

WANG Xu, HU Mingmao, GONG Aihong, GONG Qingshan, HUANG Zhengyin, JIANG Yu, LI Shuaiyu, YAO Zhenghao, CHEN Rui

Chinese Journal of Power Sources ›› 2025, Vol. 49 ›› Issue (5) : 991-1005.

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Chinese Journal of Power Sources ›› 2025, Vol. 49 ›› Issue (5) : 991-1005. DOI: 10.3969/j.issn.1002-087X.2025.05.015

Research and design: Chemicalpower sources

Remaining life prediction of lithium battery based on CEEMDAN-IGWO-CNN-BiLSTM models

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 49(5): 991-1005 https://doi.org/10.3969/j.issn.1002-087X.2025.05.015

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Received	Published
2024-12-23	2025-05-20
Issue Date
2025-05-28

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