Micro-overcharge driven nonlinear degradation mechanisms: Towards early detection of capacity knee points in lithium-ion batteries

Xiaoli Ma, Sheng Fang, Xueling Shen, Hang Zhang, Fengling Yun, Min Gao, Zhanglong Yu, Yanyan Fang and Fang Lian

Energy, 2025, vol. 335, issue C

Abstract: Predicting capacity decay in lithium-ion batteries is challenging, especially with nonlinear degradation patterns. This study introduces a novel approach by investigating the capacity decay characteristics of lithium-ion batteries under prolonged micro-overcharging, revealing distinct peaks in the incremental capacity (IC) curve indicative of accelerated cathode material degradation. Furthermore, we propose the Micro-Overcharge Differential Incremental Capacity (MO-DIC) method, a pioneering technique for predicting the capacity decay knee point. MO-DIC uses the rate of change of normalized peak height in the differential overcharging IC curve as a predictive indicator. Validated with low N/P ratio batteries, MO-DIC forecasts the life inflection point 25 to 36 cycles ahead of capacity fade indicators and approximately 50 cycles before end-of-life. This innovative approach markedly improves battery health status prediction, offering substantial benefits for battery life cycle analysis and proactive maintenance strategy formulation. Future work will refine the MO-DIC method and evaluate its applicability across diverse battery types and operating conditions.

Keywords: Lithium-ion batteries; Micro-overcharging; Nonlinear degradation; MO-DIC method; Lifespan prediction (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036047

DOI: 10.1016/j.energy.2025.137962

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