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

Minhwan Seo, Taedong Goh, Minjun Park and Sang Woo Kim
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Minhwan Seo: Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
Taedong Goh: Department of Creative-IT Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
Minjun Park: Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
Sang Woo Kim: Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea

Energies, 2018, vol. 11, issue 7, 1-18

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.

Keywords: lithium-ion battery pack; soft internal short circuit; model-based fault detection; battery safety; internal short circuit resistance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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