• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
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  • 한국과학기술단체총연합회
  • 한국학술지인용색인
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Title Add-On Type Internal Resistance and Current Sensor Fault Estimation Algorithm Based on the Correlation of the Current-Voltage Data
Authors 김영승(Young-seoung Kim) ; 나건우(Kun-woo Na) ; 서유정(U-jeong Seo) ; 김우용(Wooyong Kim)
DOI https://doi.org/10.5370/KIEE.2025.74.4.717
Page pp.717-726
ISSN 1975-8359
Keywords Lithium-ion Batteries; Current Sensor Failure; Battery Management System; Real-time Detection
Abstract Lithium-ion batteries have established themselves as a critical energy source for electric vehicles and energy storage systems. As their usage continues to grow, the issues of battery currents due to current sensor failures can lead to overcharging, over-discharging, and potentially hazardous incidents such as battery fires. To address this issue, this study proposes a current sensor fault detection algorithm based on the analysis of the data covariance matrix. The proposed algorithm is designed as an add-on type solution, enabling calculations using only voltage data extracted from the Battery Management System (BMS). It detects current sensor faults in real-time, thereby mitigating potential risks. Furthermore, the study demonstrates the algorithm’s applicability by cross-validating its performance using data from both new and aged battery models. Through this approach, the algorithm addresses current sensor fault issues across various battery states, contributing to the prevention of critical incidents such as battery fires.