Combing dynamic parameter identification and singular value decomposition adaptive unscented Kalman filter for predictive state of charge of lithium-ion batteries - researchr publication related

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Zehao Li, Shunli Wang 0002, ChunMei Yu, Chuangshi Qi, Xianfeng Shen, Carlos Fernandez. Combing dynamic parameter identification and singular value decomposition adaptive unscented Kalman filter for predictive state of charge of lithium-ion batteries. Journal of Intelligent and Fuzzy Systems, 46(1):789-803, January 2024. [doi]

The following publications are possibly variants of this publication:

Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium-ion battery state-of-charge estimationXiao Yang, Shunli Wang, Wenhua Xu, Jialu Qiao, ChunMei Yu, Carlos Fernandez. ijcta, 50(2):614-632, 2022. [doi]

Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman FiltersQuanqing Yu, Rui Xiong, Cheng Lin, Weixiang Shen, Junjun Deng. tvt, 66(10):8693-8701, 2017. [doi]

An improved adaptive spherical unscented Kalman filtering method for the accurate state-of-charge estimation of lithium-ion batteriesChuangshi Qi, Shunli Wang, Wen Cao, Peng Yu, Yanxin Xie. ijcta, 50(10):3487-3502, 2022. [doi]

An adaptive kalman filter to estimate state-of-charge of lithium-ion batteriesZhiliang Luo, Yanjie Li, Yunjiang Lou. icinfa 2015: 1227-1232 [doi]

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