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김요셉(Joseph Kim),고유석(Yuseok Ko),선주형(Juhyoung Sun),윤나영(Nayoung Yoon),조기순(Kisoon Cho) 한국자동차공학회 2014 한국자동차공학회 부문종합 학술대회 Vol.2014 No.5
As the number of vehicles is increasing, the number of accidents is also increasing. Recently, customers are requiring safer vehicles, so vehicle makers are equipping not only the frontal airbags but also side airbags. Many countries regulate the vehicles safety and develop the NCAP with more severe criteria. To meet these customer requirements and NCAP criteria, it is important to deploy the airbags properly. Side crash sensors are needed to deploy the side airbags. In this study, the method for selecting the robust position of crash sensors at C-pillar was proposed using DFSS methods. First, 4 points were selected with consideration of other parts like holes and harness. Then CAEs with various MDB were performed and get acceleration data from selected points. Each pulses were scaled with ±10% and velocities of each pulse were calculated. From theses velocity, The time when the velocity crossed threshold was used for TTF(Time to Fire). Because faster times of airbag deployment were usually required, DFSS was performed as ‘smaller the better’ criteria. The selected point was verified with 2nd row pole test. In conclusion, response of C-pillar acceleration sensors were better than acceleration from B-pillar sensor and robust position could be selected with this DFSS method.
정면 충돌 감지 센서 이상 발생시 정면 에어백 알고리즘 작동에 대한 연구
선주형(Juhyoung Sun),고유석(Yuseok Ko),신현학(Hyunhack Shin) 한국자동차공학회 2013 한국자동차공학회 학술대회 및 전시회 Vol.2013 No.11
Most crash sensing systems use a proprietary algorithm which calculates various functions based on input data. For front crash sensing systems with auxiliary external sensors (i.e., EFS), the SDM monitors the acceleration/pressure/etc. Crash algorithm combine SDM data with EFS data for typical crash event. There are two scenarios of fault detection. One of the Detection of a fault can occur during normal driving conditions. The other is when a crash event is actually in progress. Generally when a crash event is in progress, airbag sensing algorithm is available using EFS data until EFS data is alive. This research shows the optimal airbag sensing calibration in case of error in Electronic Front Sensor during normal driving condition.