A quantitative method for early-stage detection of the internal-short-circuit in Lithium-ion battery pack under float-charging conditions

Xin LAI, Bin LI, Xiaopeng TANG*, Yuanqiang ZHOU, Yuejiu ZHENG, Furong GAO

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)

Abstract

Detecting the internal short circuit (ISC) of Lithium-ion batteries is critically important for preventing thermal runaway. Conventional approaches mainly focus on ISC detection for dynamic load profiles, while the commonly seen float-charging scenarios with a high risk of ISC are rarely considered. Technical challenges arise from not only the lack of models describing battery dynamics at fully charged conditions but also the computational burden caused by the high number of series-connected cells in a battery pack. To address these issues, we here propose a simple and accurate method to quantitatively identify the leakage current of the battery with ISC, by checking the behaviors of the battery equalization system. Battery-in-the-loop experiments are carried out to verify the proposed method under a wide range of the short circuit resistances (∼20 to ∼500Ω), using both LiFePO4 and Li(NiCoMn)0.33O2 batteries with different aging degrees. The typical errors of the identified leakage currents can be well-bounded within ±1 mA, including the cases of using both passive and active balancing. The proposed method is completely model-free and, therefore, can be transplanted into low-cost embedded systems to support broader applications.

Original languageEnglish
Article number233109
JournalJournal of Power Sources
Volume573
Early online date5 May 2023
DOIs
Publication statusPublished - 30 Jul 2023
Externally publishedYes

Bibliographical note

Funding Information:
This work was financially supported by Hong Kong RGC Postdoctoral Fellowship Scheme (PDFS2122-6S06), National Natural Science Foundation of China (52277222, 52277223, 5197713, 61433005), Hong Kong Research Grant Council (16208520), and Guangdong Scientific and Technological Project (2017B010120002).

Publisher Copyright:
© 2023 Elsevier B.V.

Keywords

  • Battery balancing
  • Float charging
  • Internal short circuit
  • Lithium-ion battery management
  • Model free

Fingerprint

Dive into the research topics of 'A quantitative method for early-stage detection of the internal-short-circuit in Lithium-ion battery pack under float-charging conditions'. Together they form a unique fingerprint.

Cite this