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Article

# Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method

by 1 and 1,*
1
Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea
2
Department of Creative IT Excellence Engineering and Future IT Innovation Laboratory, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea
*
Author to whom correspondence should be addressed.
Energies 2017, 10(1), 76; https://doi.org/10.3390/en10010076
Received: 22 November 2016 / Revised: 20 December 2016 / Accepted: 3 January 2017 / Published: 10 January 2017
Early detection of an internal short circuit (ISCr) in a Li-ion battery can prevent it from undergoing thermal runaway, and thereby ensure battery safety. In this paper, a model-based switching model method (SMM) is proposed to detect the ISCr in the Li-ion battery. The SMM updates the model of the Li-ion battery with ISCr to improve the accuracy of ISCr resistance $R I S C f$ estimates. The open circuit voltage (OCV) and the state of charge (SOC) are estimated by applying the equivalent circuit model, and by using the recursive least squares algorithm and the relation between OCV and SOC. As a fault index, the $R I S C f$ is estimated from the estimated OCVs and SOCs to detect the ISCr, and used to update the model; this process yields accurate estimates of OCV and $R I S C f$ . Then the next $R I S C f$ is estimated and used to update the model iteratively. Simulation data from a MATLAB/Simulink model and experimental data verify that this algorithm shows high accuracy of $R I S C f$ estimates to detect the ISCr, thereby helping the battery management system to fulfill early detection of the ISCr. View Full-Text
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MDPI and ACS Style

Seo, M.; Goh, T.; Park, M.; Koo, G.; Kim, S.W. Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method. Energies 2017, 10, 76. https://doi.org/10.3390/en10010076

AMA Style

Seo M, Goh T, Park M, Koo G, Kim SW. Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method. Energies. 2017; 10(1):76. https://doi.org/10.3390/en10010076

Chicago/Turabian Style

Seo, Minhwan, Taedong Goh, Minjun Park, Gyogwon Koo, and Sang W. Kim 2017. "Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method" Energies 10, no. 1: 76. https://doi.org/10.3390/en10010076

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