State of Health Estimation of Lithium-Ion Battery Based on Constant-Voltage Charging Reconstruction

被引:61
|
作者
Ruan, Haokai [1 ]
He, Hongwen [1 ]
Wei, Zhongbao [1 ]
Quan, Zhongyi [2 ]
Li, Yunwei [2 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2R3, Canada
基金
中国国家自然科学基金;
关键词
Constant voltage charging; health indicators (HIs); lithium-ion battery (lib); state of health (SOH); ONLINE STATE; VEHICLE; SOC; IDENTIFICATION;
D O I
10.1109/JESTPE.2021.3098836
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
State of health (SOH) estimation is essential for life evaluation and health management of lithium-ion battery (LIB). This article proposes a novel SOH estimator using the partial constant-voltage (CV) charging data. First, a thorough analysis is performed over different CV health indicators (HIs) in terms of the HI-SOH correlation as well as the robustness to CV partialness and disturbances, and the CV capacity is proved to be more informative and robust for SOH estimation. Second, to tackle the practical challenge arising from CV charging partialness, a novel CV phase reconstruction method combining Q - V modeling and open-circuit voltage (OCV) estimation iteratively is proposed to predict the CV capacity authentically based on the available partial CV data. The extracted CV capacity is further used to estimate the battery SOH precisely. The proposed method is validated with long-term degradation experiments performed on NCA cells. Results suggest that the proposed method manifests itself with a high estimation accuracy, a low requirement on the charging completeness, and a high robustness to cell inconsistency.
引用
收藏
页码:4393 / 4402
页数:10
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