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

Haokai Ruan, Hongwen He, Zhongbao Wei*, Zhongyi Quan, Yunwei Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

63 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)4393-4402
Number of pages10
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume11
Issue number4
DOIs
Publication statusPublished - 1 Aug 2023

Keywords

  • Constant voltage charging
  • health indicators (HIs)
  • lithium-ion battery (lib)
  • state of health (SOH)

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