State of charge estimation for lithium batteries using FFT-based multi-domain feature fusion and BO-LightGBM

GONG Wei; WANG Jiguang; HE Chao; LI Jiaqiang; LIU Wenxu

doi:10.3969/j.issn.1002-087X.2026.09.007

GONG Wei, WANG Jiguang, HE Chao, LI Jiaqiang, LIU Wenxu

Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1660-1669.

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Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1660-1669. DOI: 10.3969/j.issn.1002-087X.2026.09.007

Advances in artificial intelligence-driven battery management technology

State of charge estimation for lithium batteries using FFT-based multi-domain feature fusion and BO-LightGBM

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(9): 1660-1669 https://doi.org/10.3969/j.issn.1002-087X.2026.09.007

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Received	Published
2026-05-25	2026-09-20
Issue Date
2026-09-28

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