State of Charge (SOC) Estimation Based on Extended Exponential Weighted Moving Average H ∞ Filtering

Shuaishuai Zhang, Youhong Wan, Jie Ding and Yangyang Da
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Shuaishuai Zhang: College Of Automation & College Of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Youhong Wan: College Of Automation & College Of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Jie Ding: College Of Automation & College Of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Yangyang Da: College Of Automation & College Of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Energies, 2021, vol. 14, issue 6, 1-15

Abstract: When the classical H ∞ algorithm (HIF) is applied to estimate the state of charge (SOC) of a lithium battery, the influence of historical data is usually ignored, resulting in an increase in the estimation error. In order to improve the accuracy of SOC estimation, this paper proposes an extended exponential weighted moving average H ∞ algorithm (EE-HIF) in view of the influence of historical data. By designing the Gaussian function, the weighted distribution of the data at different times can effectively reduce the estimation error caused by the inaccuracy of the lithium battery model. In addition, when the system contains Gaussian white noise and alternating current input, the proposed method can achieve a faster convergence speed and better robustness. Simulation results show the advantages of the proposed algorithm, as compared to an HIF filtering algorithm and an exponentially weighted moving average H ∞ algorithm (EWMA).

Keywords: lithium battery; H ∞ algorithm; exponentially weighted moving average; state of charge; state estimation (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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