http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
조사 분사 방식을 이용한 HCCI 엔진의 연소 및 배기특성에 관한 실험적 연구
김형민(Hyungmin Kim),류재덕(Jeaduk Ryu),이기형(Kihyung Lee),김병수(Byungsu Kim) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The new concept called as Homogeneous Charge Compression Ignition engines are spotlighted because this concept reduced NOx and smoke simultaneously. To accomplish this combustion, many researchers are studying various methods called the PREDIC, MK, NADl, MULDIC, UNIBUS, HCDC, CAI and PCCI. The purpose of this study was to investigate characteristics of combustion and emission in a common rail direct injection type HCCI engine using a early injection method called the PCCI(Premixed Charge Compression Ignition). From this study, we found that the NOx emissions were dramatically reduced compare to conventional diesel combustion. The smoke emissions also showed a slightly reduction, while CO and HC emissions increased substantially. And the operating condition of HCCI engine limited a low loads.
김기수(Gisu Kim),장동국(Dongkuk Jang),김병수(Byungsu Kim),주문경(Moonkyung Joo),신현승(Hyunseung Shin),박영일(Yeongil Park) 대한기계학회 2014 대한기계학회 춘추학술대회 Vol.2014 No.11
This thesis covers consequence about driving on the road with hybrid vehicle that is designed by ourselves. We make successful result with Li-Ion batteries that replace previously existing lead storage batteries. It brings about innovation of weight lightening and vehicle performance. This vehicle is designed with careful consideration for driver. For example, slide-resist enables drivers to maintain a constant speed as cruise mode. In addition, Driver can check the batteries condition with S.O.C on dashboard. It is also possible that driver can easily switch driving mode (electric/engine/hybrid). With hybrid vehicle engineered like so, we drives on the real road. This test makes it clear about safety, efficiency and other performances of vehicle.
ASV용 센서통합평가 기술을 위한 무인 타겟 이동 시스템의 개발
김은정,송인성,유시복,김병수,Kim, Eunjeong,Song, Insung,Yu, Sybok,Kim, Byungsu 한국자동차안전학회 2012 자동차안전학회지 Vol.4 No.2
The Automatic unmanned target object carrying system (AUTOCS) is developed for testing road vehicle radar and vision sensor. It is important for the target to reflect the realistic target characteristics when developing ASV or ADAS products. The AUTOCS is developed to move the pedestrian or motorcycle target for desired speed and position. The AUTOCS is designed that only payload target which is a manikin or a motorcycle is detected by the sensor not the AUTOCS itself. In order for the AUTOCS to have low exposure to radar, the AUTOCS is stealthy shaped to have low RCS(Radar Cross Section). For deceiving vision sensor, the AUTOCS has a specially designed pattern on outside skin which resembles the asphalt pattern. The AUTOCS has three driving modes which are remote control, path following and replay. The AUTOCS V.1 is tested to verify the radar detect characteristics, and the AUTOCS successfully demonstrated that it is not detected by a car radar. The result is presented in this paper.
송인성(Insung Song),유시복(Sibok Yu),김문식(Moonsik Kim),김병수(Byungsu Kim) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11
HKMC, KATECH, SNU and KATRI has been developing the AEBS for trucks and buses from 2010. The role of KATECH is to develop driving simulator connected HILS for investigating AEBS control parameters, to develop the T-car based test-bed and test method for evaluating the sensor systems used for HKMC AEBS. These test results are used for designing the AEBS. The AEBS uses both 77GHz microwave radar developed for ACC and FVCMS and vision sensor together. The AEBS is basically developed for very heavy trucks such as 25 ton truck named TRAGO. KATECH used a SUV vehicle named SantaFe as a test platform. A mount is designed to meet the installation height of the sensors, and sensor signal was taken from the mounted sensors. Originally, two types of radar was tested, but this paper contains the result of only on type. After installation of sensors, the sensors are calibrated according to the sensor installation directions. The data under consideration was relative distance between subject vehicle and target vehicle, relative speed, detecting angles, detecting range, and etc. The test results show the measuring error of radar and vision sensor for different distances, measuring angles, relative speed, and etc. The test was processed for stationary conditions and driving conditions with 40 km/h and 60 km/h.