Joint Estimation of SOC and SOH for Single-Flow Zinc–Nickel Batteries

Chunning Song, Yu Zhang, Qijin Ling and Shaogeng Zheng
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Chunning Song: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Yu Zhang: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Qijin Ling: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Shaogeng Zheng: School of Electrical Engineering, Guangxi University, Nanning 530004, China

Energies, 2022, vol. 15, issue 13, 1-16

Abstract: The single-flow zinc–nickel battery (ZNB) is a new type of flow battery with a simple structure, large-scale energy storage, and low cost, and thus has attracted much attention in the battery field recently. The state of charge (SOC) and state of health (SOH) are key indicators of the battery, and their inaccurate estimation can damage the battery. However, little has been done so far to study how to jointly estimate SOC and SOH for the ZNB. In this paper, the method of adaptive IDUKF is proposed. A second-order equivalent circuit model is applied to improve the accuracy. At the same time, the double unscented Kalman filter (DUKF), which is optimized by the improved Harris hawk optimization (IHHO) algorithm, is used to estimate the SOC and parameters online. Then, the capacity update model is introduced to simulate the change in SOH. Finally, the proposed method is applied to a 16 Ah ZNB, and the experimental results confirm the validity of the proposed method.

Keywords: single-flow zinc–nickel battery; state of charge; state of health; double unscented Kalman Filter; improved Harris hawk optimization algorithm (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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