Online Parameter Identification and Joint Estimation of the State of Charge and the State of Health of Lithium-Ion Batteries Considering the Degree of Polarization

Bizhong Xia, Guanghao Chen, Jie Zhou, Yadi Yang, Rui Huang, Wei Wang, Yongzhi Lai, Mingwang Wang and Huawen Wang
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Bizhong Xia: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, Guangdong, China
Guanghao Chen: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, Guangdong, China
Jie Zhou: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, Guangdong, China
Yadi Yang: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, Guangdong, China
Rui Huang: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, Guangdong, China
Wei Wang: Sunwoda Electronic Co. Ltd., Shenzhen 518108, Guangdong, China
Yongzhi Lai: Sunwoda Electronic Co. Ltd., Shenzhen 518108, Guangdong, China
Mingwang Wang: Sunwoda Electronic Co. Ltd., Shenzhen 518108, Guangdong, China
Huawen Wang: Sunwoda Electronic Co. Ltd., Shenzhen 518108, Guangdong, China

Energies, 2019, vol. 12, issue 15, 1-20

Abstract: The state of charge (SOC) and the state of health (SOH) are the two most important indexes of batteries. However, they are not measurable with transducers and must be estimated with mathematical algorithms. A precise model and accurate available battery capacity are crucial to the estimation results. An improved speed adaptive velocity particle swarm optimization algorithm (SAVPSO) based on the Thevenin model is used for online parameter identification, which is used with an unscented Kalman filter (UKF) to estimate the SOC. In order to achieve the cyclic update of the SOH, the concept of degree of polarization (DOP) is proposed. The cyclic update of available capacity is thus obtainable to conversely promote the estimation accuracy of the SOC. The estimation experiments in the whole aging process of batteries show that the proposed method can enhance the SOC estimation accuracy in the full battery life cycle with the cyclic update of the SOH, even in cases of operating aged batteries and under complex operating conditions.

Keywords: lithium-ion batteries; state of charge; state of health; degree of polarization; online parameter identification; estimation in the full life cycle (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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