Fault Warning and Location in Battery Energy Storage Systems via Venting Acoustic Signal

Nawei Lyu, Yang Jin, Shan Miao*, Rui Xiong, Huaxing Xu, Jinfeng Gao, Haoyan Liu, Yupei Li, Xiaobei Han

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Although Li-ion batteries (LIBs) are widely used, recent catastrophic accidents have seriously hindered their widespread application. In this study, a novel acoustic-signal-based battery fault warning and location method is proposed. This method requires only four acoustic sensors at the corners of the energy storage cabin. It captures the venting acoustic signal when a fault occurs in the cell and calculates the spatial location of the cell. The maximum spatial error is 0.1 m. Considering that the effective range of a fire-fighting facility is significantly greater than 0.1 m, such a location error is acceptable. Furthermore, a wavelet-transform-based anti-misjudgment method that ensures the reliability of the fault warning and location is proposed. Thus, a nonintrusive, timely, and effective solution to ensure the safety of the battery energy storage system (BESS) is provided.

Original languageEnglish
Pages (from-to)100-108
Number of pages9
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • Acoustic applications
  • battery energy storage system (BESS)
  • fault detection method
  • location estimation

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