Micro short circuit fault diagnosis in Li-ion cell

Micro short circuits (MSCs) in lithium-ion battery cells are a critical safety concern, potentially leading to thermal runaway, internal short circuits, overheating, and battery degradation. Compared to normal cells, MSC fault cells exhibit reduced capacity with each charge-discharge cycle and an increasing state of charge (SOC) deviation over time. To differentiate normal cells from MSC fault cells, a fault diagnosis method based on remaining charge capacity (RCC) estimation is proposed. After each charge discharge cycle, the cell’s RCC is compared to a safe threshold value. The method uses the charge cell voltage curve (CCVC) of a fully charged reference cell to estimate RCC via standard CCVC hypothetical conversion. This approach’s accuracy is validated in constant power and constant current charging scenarios. MSC leakage current is calculated by incrementing RCC after each charge, and then converted to MSC resistance. A MATLAB/Simulink model of a battery pack with an MSC fault was developed to test the method across various charge cut-off voltages. The diagnostic procedure’s applicability to ageing cells, constant power, and multi-step charging is further confirmed through experiments with external resistance, enhancing MSC detection before thermal runaway becomes unmanageable.

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Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-09-01
DOI
https://doi.org/10.11591/ijpeds.v16.i3.pp2103-2111
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
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article

Micro short circuit fault diagnosis in Li-ion cell

R. Sivabalakrishnan, Sabarimuthu Muthusamy, A.T. Sankara Subramanian, S. Gomathy et al.
4 links
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
VLSI and Analog Circuit Testing
article

Micro short circuit fault diagnosis in Li-ion cell

R. Sivabalakrishnan, Sabarimuthu Muthusamy, A.T. Sankara Subramanian, S. Gomathy, R. Jayaram, Boopathi Dhanasekaran
article en

Abstract

Micro short circuits (MSCs) in lithium-ion battery cells are a critical safety concern, potentially leading to thermal runaway, internal short circuits, overheating, and battery degradation. Compared to normal cells, MSC fault cells exhibit reduced capacity with each charge-discharge cycle and an increasing state of charge (SOC) deviation over time. To differentiate normal cells from MSC fault cells, a fault diagnosis method based on remaining charge capacity (RCC) estimation is proposed. After each charge discharge cycle, the cell’s RCC is compared to a safe threshold value. The method uses the charge cell voltage curve (CCVC) of a fully charged reference cell to estimate RCC via standard CCVC hypothetical conversion. This approach’s accuracy is validated in constant power and constant current charging scenarios. MSC leakage current is calculated by incrementing RCC after each charge, and then converted to MSC resistance. A MATLAB/Simulink model of a battery pack with an MSC fault was developed to test the method across various charge cut-off voltages. The diagnostic procedure’s applicability to ageing cells, constant power, and multi-step charging is further confirmed through experiments with external resistance, enhancing MSC detection before thermal runaway becomes unmanageable.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 16(3)
Hong Kong College of Technology (CN)
Openalex Percentile: Top 75%
VLSI and Analog Circuit Testing
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Micro short circuit fault diagnosis in Li-ion cell — R. Sivabalakrishnan, Sabarimuthu Muthusamy, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2025) | TGRS Research Map | TGRS