Battery fault diagnosis method based on SGMD and features of exponential function

LIAO Li, LV Liangshuang, ZHANG Guangwei, ZHOU Xueqin, JIANG Jiuchun

Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1721-1729.

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中文核心期刊
中国科技核心期刊
中国化学与物理电源行业协会会刊
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Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1721-1729. DOI: 10.3969/j.issn.1002-087X.2026.09.013
Advances in artificial intelligence-driven battery management technology

Battery fault diagnosis method based on SGMD and features of exponential function

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(9): 1721-1729 https://doi.org/10.3969/j.issn.1002-087X.2026.09.013

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