Our research aims to enhance the performance and efficiency of mechatronic systems through performance evaluation, anomaly detection, fault diagnosis, and remaining useful life prediction. By integrating mechanical, electrical/electronic, and artificial intelligence technologies, we develop highly practical solutions that prevent failures and accidents while ensuring both safety and economic efficiency in applications such as electric vehicles, robotics, aerospace systems, and power generation facilities.
In particular, fault diagnosis and degradation mechanism analysis of electric vehicles and battery systems are key research topics. High-energy-density batteries used in electric vehicles are significantly influenced by usage history in terms of performance and lifespan and pose critical fire safety concerns. However, the underlying causes and their correlations have not yet been fully clarified, highlighting the need for further systematic research. In addition, improving safety and efficiency through a comprehensive understanding of mechanical, electrical, and electronic components in mechatronic systems enables the extension of system lifetime and reliability.
우리 실험실은 메카트로닉스 시스템의 안전과 효율을 개선하고 실제 산업 현장에 직접 활용가능한 실용적인 연구를 수행하고 있습니다.
EV and Battery Aging and Degradation Analysis
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급속충전시 배터리 열관리 제어를 통헤 에너지 효율 166% 향상 및 전기/화학적 안전성 개선 기술
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전기차 Battery pack interconnection system(BIS) 노후화를 반영한 배터리 팩 시스템의 열화수준 진단기술
Optimal Control of Mechatronics system for Enhanced Efficiency and Safety
- 최적화된 방전심도(Depth of Discharge, DOD)제어 전략을 통해 에너지 효율 45% 및 안전성 개선 기술
Fault Diagnosis of Mechatrnocis System Component
- WPT, GMM을 활용한 베어링의 조기 고장 진단 기술
