State of Power Estimation of Echelon-Use Battery Based on Adaptive Dual Extended Kalman Filter

Owing to the degradation of the performance of a retired battery and the unclear initial value of the state of charge (SOC), the estimation of the state of power (SOP) of an echelon-use battery is not accurate. An SOP estimation method based on an adaptive dual extended Kalman filter (ADEKF) is prop...

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Bibliographic Details
Published in:Energies (Basel) 2021-09, Vol.14 (17), p.5579
Main Authors: Hou, Enguang, Xu, Yanliang, Qiao, Xin, Liu, Guangmin, Wang, Zhixue
Format: Article
Language:English
Subjects:
Accuracy
Adaptive algorithms
adaptive dual extended Kalman filter
Algorithms
Batteries
Covariance
echelon-use battery
Electricity distribution
Energy storage
Extended Kalman filter
Kalman filters
Lithium
Noise
Parameter estimation
Parameter identification
Research methodology
second-order Thevenin equivalent model
State of charge
state of power
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Summary:Owing to the degradation of the performance of a retired battery and the unclear initial value of the state of charge (SOC), the estimation of the state of power (SOP) of an echelon-use battery is not accurate. An SOP estimation method based on an adaptive dual extended Kalman filter (ADEKF) is proposed. First, the second-order Thevenin equivalent model of the echelon-use battery is established. Second, the battery parameters are estimated by the ADEKF: (a) the SOC is estimated based on an adaptive extended Kalman filtering algorithm, that uses the process noise covariance Qk and observes the noise covariance Rk , and (b) the ohmic internal resistance and actual capacity are estimated based on the aforementioned algorithm, that uses the process noise covariance Q?,k and observes the noise covariance R?,k. Third, the working voltage and internal resistance are predicted using optimal estimation, and the SOP of the echelon-use battery is estimated. MATLAB simulation results show that, regardless of whether or not the initial value of the SOC is clear, the proposed algorithm can be adjusted to the adaptive algorithm, and if the estimation accuracy error of the echelon-use battery SOP is less than 4.8%, it has high accuracy. This paper provides a valuable reference for the prediction of the SOP of an echelon-use battery, and will be helpful for understanding the behavior of retired batteries for further discharge and use.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14175579