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

Enguang Hou, Yanliang Xu, Xin Qiao, Guangmin Liu and Zhixue Wang
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Enguang Hou: School of Electrical Engineering, Shandong University, Jinan 250061, China
Yanliang Xu: School of Electrical Engineering, Shandong University, Jinan 250061, China
Xin Qiao: School of Rail Transportation, Shandong Jiao Tong University, Jinan 250357, China
Guangmin Liu: School of Rail Transportation, Shandong Jiao Tong University, Jinan 250357, China
Zhixue Wang: School of Rail Transportation, Shandong Jiao Tong University, Jinan 250357, China

Energies, 2021, vol. 14, issue 17, 1-14

Abstract: 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 Q k and observes the noise covariance R k , and (b) the ohmic internal resistance and actual capacity are estimated based on the aforementioned algorithm, that uses the process noise covariance Q θ , k and observes the noise covariance R θ , 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.

Keywords: echelon-use battery; adaptive dual extended Kalman filter; state of power; second-order Thevenin equivalent model (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 (3)

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