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사공현철,최현식 조선대학교 IT연구소 2018 정보기술융합공학논문지 Vol.8 No.2
GaN power devices are attracting attention due to the growth of the electric vehicle market and interest in high efficiency power conversion circuits. GaN power devices have a high breakdown voltage, a nanosecond-level switching speed, and a low turn-on resistance, which are suitable for high efficient circuits. In future, GaN power devices are likely to be applied instead of silicon-based insulated gate bipolar transistors (IGBTs). However, GaN power devices still have a low reliability and a large deviation between devices. In this paper, the aim is to increase the efficiency of GaN power devices through proper process temperature by analyzing the reliability of devices and the device variations. The process temperature in this case is defined as the growth temperature of the AlGaN layer, which has the much influence on the reliability of the devices. 전기자동차 시장의 성장과 고효율 전력변환 회로에 대한 관심으로 GaN 파워 소자가 주목을 받고있다. GaN 파워 소자의 경우에는 높은 breakdown 전압을 가지고, 나노초 수준의 빠른 스위칭이 가능하고, 낮은 턴온 저항을 가지므로 고효율 회로에 적합하다. 향후 파워 회로에서는 실리콘 기반 의 insulated gate bipolar transistor (IGBT) 대신에 GaN 파워 소자가 적용될 가능성이 크다. 그러나 GaN 파워 소자의 경우에는 아직 낮은 신뢰성과 소자간의 편차가 큰 문제가 되고 있다. 본 논문에서는 공정 온도에 따른 소자의 신뢰도 변화와 소자간의 편차 변화를 분석하여, 적합한 공정 온도를 통한 GaN 파워 소자의 효율 증가를 목표로 한다. 이 경우의 공정 온도는 소자의 신뢰성에 가장 큰 영향을 줄 수 있는 AlGaN 층의 성장 온도로 정의하였다.
Reliability Analysis of LiDAR Sensor for Automotive Applications
한채림,이호준,이상훈,윤주헌,사공현철 한국자동차공학회 2024 한국 자동차공학회논문집 Vol.32 No.2
This research focuses on improving the reliability and safety of light detection and ranging(LiDAR) sensors,which are a key technology for self-driving vehicles in the automotive industry. LiDAR, a laser-based measurement technology, drew increased attention as a critical component of self-driving functions and advanced driver assistance systems(ADAS) in vehicles. Amid the growing demand and application in the automotive industry, LiDAR sensors are encounteringissues related to their performance and reliability. This paper is studying the causes of such failures in LiDAR sensors in real-world field driving, and is proposing a process improvement methodology. Specifically, the environmental weak pointof LiDAR sensors is analyzed through environmental tests under actual driving conditions. Additionally, a structural andcomponent analysis of LiDAR sensors is conducted to identify the causes of failures from a fundamental materialperspective. Based on this analysis, we will suggest process improvements for LiDAR sensors, and their effectiveness will be validated under various environmental conditions. The comprehensive results can contribute to improving the reliability andsafety of vehicles, particularly in the aspect of self-driving technology.
한채림(Chaelim Han),이호준(Hojoon Lee),박종민(Jongmin Park),사공현철(Hyunchul Sagong) 한국자동차공학회 2024 한국자동차공학회 부문종합 학술대회 Vol.2024 No.6
The research focuses on improving the reliability and quality of zero current transformer (ZCT), which is a key technology for electric vehicles. The ZCT has become increasingly important for the charging system of the future mobility. Moreover, the growing demand and utilization of ZCT in the charging system have led to challenges regarding their performance and reliability. In this paper, a structural analysis of ZCT is conducted to pinpoint failure causes. Based on the analysis, process improvement for ZCT are proposed, and its efficacy is verified even under various environmental conditions. The comprehensive findings have the potential to enhance the reliability and quality of the automotive components, particularly in the eco-friendly automotive technology.