Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter

State of charge (SOC) estimation is the core of any battery management system. Most closed-loop SOC estimation algorithms are based on the equivalent circuit model with fixed parameters. However, the parameters of the equivalent circuit model will change as temperature or SOC changes, resulting in r...

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Detaylı Bibliyografya
Asıl Yazarlar:	Bizhong Xia, Zizhou Lao, Ruifeng Zhang, Yong Tian, Guanghao Chen, Zhen Sun, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang, Huawen Wang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2017-12-01
Seri Bilgileri:	Energies
Konular:	forgetting factor recursive least squares nonlinear Kalman filter state of charge estimation online parameter identification lithium-ion battery variable temperature
Online Erişim:	https://www.mdpi.com/1996-1073/11/1/3
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter

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