Next Article in Journal
3-D EHD Enhanced Natural Convection over a Horizontal Plate Flow with Optimal Design of a Needle Electrode System
Next Article in Special Issue
Differential Evolution-Based Load Frequency Robust Control for Micro-Grids with Energy Storage Systems
Previous Article in Journal
Parameter Identification of Pump Turbine Governing System Using an Improved Backtracking Search Algorithm
Open AccessArticle

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

by Minhwan Seo 1,†, Taedong Goh 2,†, Minjun Park 1,† and Sang Woo Kim 1,*
1
Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
2
Department of Creative-IT Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Energies 2018, 11(7), 1669; https://doi.org/10.3390/en11071669
Received: 8 June 2018 / Revised: 18 June 2018 / Accepted: 25 June 2018 / Published: 27 June 2018
(This article belongs to the Special Issue Intelligent Control in Energy Systems)
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. View Full-Text
Keywords: lithium-ion battery pack; soft internal short circuit; model-based fault detection; battery safety; internal short circuit resistance lithium-ion battery pack; soft internal short circuit; model-based fault detection; battery safety; internal short circuit resistance
Show Figures

Figure 1

MDPI and ACS Style

Seo, M.; Goh, T.; Park, M.; Kim, S.W. Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell. Energies 2018, 11, 1669.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop