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Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell

Author

Listed:
  • Minhwan Seo

    (Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
    These authors contributed equally to this work.)

  • Taedong Goh

    (Department of Creative-IT Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
    These authors contributed equally to this work.)

  • Minjun Park

    (Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
    These authors contributed equally to this work.)

  • Sang Woo Kim

    (Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea)

Abstract

Early detection of internal short circuit which is main cause of thermal runaway in a lithium-ion battery is necessary to ensure battery safety for users. As a promising fault index, internal short circuit resistance can directly represent degree of the fault because it describes self-discharge phenomenon caused by the internal short circuit clearly. However, when voltages of individual cells in a lithium-ion battery pack are not provided, the effect of internal short circuit in the battery pack is not readily observed in whole terminal voltage of the pack, leading to difficulty in estimating accurate internal short circuit resistance. In this paper, estimating the resistance with the whole terminal voltages and the load currents of the pack, a detection method for the soft internal short circuit in the pack is proposed. Open circuit voltage of a faulted cell in the pack is extracted to reflect the self-discharge phenomenon obviously; this process yields accurate estimates of the resistance. The proposed method is verified with various soft short conditions in both simulations and experiments. The error of estimated resistance does not exceed 31.2% in the experiment, thereby enabling the battery management system to detect the internal short circuit early.

Suggested Citation

  • Minhwan Seo & Taedong Goh & Minjun Park & Sang Woo Kim, 2018. "Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell," Energies, MDPI, vol. 11(7), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1669-:d:154678
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    References listed on IDEAS

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    Cited by:

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    6. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.

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