Co-estimation of parameters and state of charge for lithium-ion battery

•A recursive Bayesian algorithm is proposed for the online identification of battery parameters.•An online joint estimation algorithm of parameters and state of charge is proposed for the battery system.•Different initial SOC values and measurement noise covariance are applied to verify the robustne...

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Veröffentlicht in:	Journal of electroanalytical chemistry (Lausanne, Switzerland) Jg. 907; S. 116011
Hauptverfasser:	Li, Junhong, Li, Lei, Li, Zheng, Jiang, Zeyu, Gu, Juping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 15.02.2022 Elsevier Science Ltd
Schlagworte:	Accuracy Adaptive algorithms Adaptive extended Kalman filter Algorithms Dual polarization model Dynamic characteristics Electrical measurement Extended Kalman filter Lithium-ion batteries Lithium-ion battery Mathematical models Model accuracy Noise measurement Parameter estimation Parameter identification Polarization Product safety Rechargeable batteries Recursive Bayesian algorithm Robustness Service life State of charge Dual polarization model Lithium-ion battery Adaptive extended Kalman filter State of charge Recursive Bayesian algorithm
ISSN:	1572-6657, 1873-2569
Online-Zugang:	Volltext
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