TY - JOUR
T1 - State of Health Estimation of Lithium-Ion Battery Based on Constant-Voltage Charging Reconstruction
AU - Ruan, Haokai
AU - He, Hongwen
AU - Wei, Zhongbao
AU - Quan, Zhongyi
AU - Li, Yunwei
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - 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.
AB - 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.
KW - Constant voltage charging
KW - health indicators (HIs)
KW - lithium-ion battery (lib)
KW - state of health (SOH)
UR - http://www.scopus.com/inward/record.url?scp=85111031105&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2021.3098836
DO - 10.1109/JESTPE.2021.3098836
M3 - Article
AN - SCOPUS:85111031105
SN - 2168-6777
VL - 11
SP - 4393
EP - 4402
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
IS - 4
ER -