State of charge estimation for lithium-ion batteries based on CPO-optimized FFRLS-EKF algorithm

ZHAO Xinyuan; LI Huilin; LIU Yong; LIU Zhengping

doi:10.3969/j.issn.1002-087X.2026.09.009

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Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1681-1692. DOI: 10.3969/j.issn.1002-087X.2026.09.009

Advances in artificial intelligence-driven battery management technology

State of charge estimation for lithium-ion batteries based on CPO-optimized FFRLS-EKF algorithm

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(9): 1681-1692 https://doi.org/10.3969/j.issn.1002-087X.2026.09.009

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Received	Published
2026-06-23	2026-09-20
Issue Date
2026-09-28

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