SOC Estimation of Lithium-Ion Battery Based on Equivalent Circuit Model with Variable Parameters

Qi Wang, Tian Gao () and Xingcan Li
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Qi Wang: School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710072, China
Tian Gao: School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710072, China
Xingcan Li: School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710032, China

Energies, 2022, vol. 15, issue 16, 1-15

Abstract: The state of charge ( SOC ) of the battery is an important basis for the battery management system to perform state monitoring and control decisions. In this paper, by identifying the internal parameters of the battery model at different temperatures and SOC s of the lithium-ion battery, the specific factors that affect the change of the parameters are analyzed, the segmentation basis of the model and the fitting method of related parameters are discussed, the second-order equivalent circuit model of the lithium-ion battery whose parameters vary with SOC and temperature is established, the unscented Kalman filter (UKF) is used to estimate the SOC of the lithium-ion battery, and an improved SOC estimation method based on optimized equivalent circuit model is proposed. Simulation and experimental results show that the improved SOC estimation strategy can obtain high estimation accuracy in a wide temperature range.

Keywords: lithium-ion battery; state-of-charge; temperature compensation; second-order equivalent circuit model; unscented Kalman filter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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