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

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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Bibliographic Details
Main Authors: Bizhong Xia, Zizhou Lao, Ruifeng Zhang, Yong Tian, Guanghao Chen, Zhen Sun, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang, Huawen Wang
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Energies
Subjects:
forgetting factor recursive least squares
nonlinear Kalman filter
state of charge estimation
online parameter identification
lithium-ion battery
variable temperature
Online Access:https://www.mdpi.com/1996-1073/11/1/3

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