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Capacity Fast Prediction and Residual Useful Life Estimation of Valve Regulated Lead Acid Battery

Author

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  • Qin He
  • Yabing Zha
  • Quan Sun
  • Zhengqiang Pan
  • Tianyu Liu

Abstract

The usable capacity of acid lead batteries is often used as the degradation feature for online RUL (residual useful life) estimation. In engineering applications, the “standard” fully discharging method for capacity measure is quite time-consuming and harmful for the high-capacity batteries. In this paper, a data-driven framework providing capacity fast prediction and RUL estimation for high-capacity VRLA (valve regulated lead acid) batteries is presented. These batteries are used as backup power sources on the ships. The relationship between fully discharging time and partially discharging voltage curve is established for usable capacity extrapolation. Based on the predicted capacity, the particle filtering approach is utilized to obtain battery RUL distribution. A case study is conducted with the experimental data of GFM-200 battery. Results confirm that our method not only reduces the prediction time greatly but also performs quite well in prediction accuracy of battery capacity and RUL.

Suggested Citation

  • Qin He & Yabing Zha & Quan Sun & Zhengqiang Pan & Tianyu Liu, 2017. "Capacity Fast Prediction and Residual Useful Life Estimation of Valve Regulated Lead Acid Battery," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-9, February.
    • Handle: RePEc:hin:jnlmpe:7835049
    DOI: 10.1155/2017/7835049
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    Cited by:

    1. Yuhang Fan & Qiongbin Lin & Ruochen Huang, 2024. "Non-Invasive Method-Based Estimation of Battery State-of-Health with Dynamical Response Characteristics of Load Surges," Energies, MDPI, vol. 17(3), pages 1-17, January.
    2. Chee Hiun Lee & Jianhui Wong & Yun Seng Lim, 2023. "A Novel Approach Using High Charging Voltage for the Restoration of Discarded Lead Acid Batteries," Energies, MDPI, vol. 16(4), pages 1-16, February.

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