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

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

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.

Suggested Citation

  • Ma, Xiaoli & Fang, Sheng & Shen, Xueling & Zhang, Hang & Yun, Fengling & Gao, Min & Yu, Zhanglong & Fang, Yanyan & Lian, Fang, 2025. "Micro-overcharge driven nonlinear degradation mechanisms: Towards early detection of capacity knee points in lithium-ion batteries," Energy, Elsevier, vol. 335(C).
  • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036047
    DOI: 10.1016/j.energy.2025.137962
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    References listed on IDEAS

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    1. Zhang, Lei & Huang, Lvwei & Zhang, Zhaosheng & Wang, Zhenpo & Dorrell, David D., 2022. "Degradation characteristics investigation for lithium-ion cells with NCA cathode during overcharging," Applied Energy, Elsevier, vol. 327(C).
    2. Wei, Meng & Ye, Min & Zhang, Chuanwei & Wang, Qiao & Lian, Gaoqi & Xia, Baozhou, 2024. "Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling," Energy, Elsevier, vol. 296(C).
    3. Ji, Shanling & Zhang, Zhisheng & Stein, Helge S. & Zhu, Jianxiong, 2025. "Flexible health prognosis of battery nonlinear aging using temporal transfer learning," Applied Energy, Elsevier, vol. 377(PD).
    4. Venkatasubramanian Viswanathan & Alan H. Epstein & Yet-Ming Chiang & Esther Takeuchi & Marty Bradley & John Langford & Michael Winter, 2022. "Author Correction: The challenges and opportunities of battery-powered flight," Nature, Nature, vol. 603(7903), pages 30-30, March.
    5. Venkatasubramanian Viswanathan & Alan H. Epstein & Yet-Ming Chiang & Esther Takeuchi & Marty Bradley & John Langford & Michael Winter, 2022. "The challenges and opportunities of battery-powered flight," Nature, Nature, vol. 601(7894), pages 519-525, January.
    6. Yifan, Zheng & Sida, Zhou & Zhengjie, Zhang & Xinan, Zhou & Rui, Cao & Qiangwei, Li & Zichao, Gao & Chengcheng, Fan & Shichun, Yang, 2024. "A capacity fade reliability model for lithium-ion battery packs based on real-vehicle data," Energy, Elsevier, vol. 307(C).
    7. Yang, Minxing & Sun, Xiaofei & Liu, Rui & Wang, Lingzhi & Zhao, Fei & Mei, Xuesong, 2024. "Predict the lifetime of lithium-ion batteries using early cycles: A review," Applied Energy, Elsevier, vol. 376(PA).
    8. Wang, Meng & Wu, Senming & Chen, Ying & Luan, Weiling, 2025. "The snowball effect in electrochemical degradation and safety evolution of lithium-ion batteries during long-term cycling," Applied Energy, Elsevier, vol. 378(PB).
    9. Wang, Yixiu & Zhu, Jiangong & Cao, Liang & Gopaluni, Bhushan & Cao, Yankai, 2023. "Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction," Applied Energy, Elsevier, vol. 350(C).
    10. Meng, Huixing & Geng, Mengyao & Han, Te, 2023. "Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
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