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SCC 시스템 기반 하이브리드 자동차의 연비 향상 알고리즘 개발
권재준(Jaejoon Kwon),소민우(Minwoo Soh),홍태욱(Taewook Hong),박기홍(Kihong Park),김선민(Sunmin Kim),강명묵(Myungmuk Kang) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11
In recent years, the Hybrid Electric Vehicle (HEV) is replenished to various segment in market place. And it reaches luxury sedan which has Advanced Driver Assistance System (ADAS) like Smart Cruise Control (SCC) sooner or later. Consequently, it is necessary that studying on integrated control of HEV and ADAS which can improve the fuel economy. Integration with SCC that executes acceleration and deceleration by using radar sensors mounted on front of the vehicle, helps HEV to predict driving condition. And the driving condition prediction can be used to establish the control strategy of improving the fuel economy. In this paper, therefore, development of Advanced HCU which has integrated control algorithm is executed to improve the fuel economy of HEV. The performance of developed Advanced HCU is verified with various scenarios that contain urban driving mode and high-way driving mode. At the end of this paper, the evaluation of fuel economy improvement is conducted.
SCC 시스템 기반 도로 구배 인지를 통한 하이브리드 자동차의 회생제동 극대화 전략에 관한 연구
소민우(Minwoo Soh),권재준(Jaejoon Kwon),홍태욱(Taewook Hong),박기홍(Kihong Park),김선민(Sunmin Kim),강명묵(Myungmuk Kang) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
This paper proposes the regenerative braking of hybrid electric vehicle optimization algorithm. With enlargement of segment applyied hybrid electric vehicle, it is necessary to research about combining ADAS with hybrid electric vehicle like smart cruise control system. For the help of SCC system, the hybrid electric vehicle is able to obtain the information of forward vehicle and lay out driving strategy which improves the fuel economy. In addition, the information of road gradient aid the SCC system provides more accuracy information of forward vehicle that is indispensable for optimizing the performance of regenerative braking of hybrid electric vehicle. In this paper, therefore, modelling of hybrid electric vehicle and SCC system is conducted to establish the regenerative braking optimization algorithm with assuming that the information of road gradient is already obtained. The performance verification of developed algorithm is executed through some scenarios that contain gradient of road. At the end of this paper, the evaluation of simulation result is conducted.
사고영상 분석을 통한 상용 및 선행 CA 시스템의 성능 분석
임승국(Seungkuk Lim),조승우(Seungwoo Jo),권재준(Jaejoon Kwon),홍태욱(Taewook Hong),박기홍(Kihong Park),황태훈(Taehun Hwang),정태영(Taeyoung Chung) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
This paper analyzes car accident by types from the Blackbox for vehicles, assess the commercialized CA system and then suggests the CA system which is developed in future. The Type of car accident is sorted by using the criteria from the TAAS(Traffic Accident Analysis System) and it is compared with the statistical data from NHTSA(National Highway Traffic Safety Administration). Therefore the data from the Blackbox can have reliability. According to the survey which investigates Commercialized CA systems of 6 leading manufacturers they reach uppermost limit. And this study find the limitation of commercialized CA system in consequence of applying the system to circumstance from the Blackbox images. In the view of the results this paper suggests the precedent CA system in last chapter.
위험 상황 판단 알고리즘 개발 및 PreScan 기반 성능 검증에 관한 연구
류은혜(Eunhye Ryu),조승우(Seungwoo Jo),권재준(Jaejoon Kwon),홍태욱(Taewook Hong),박기홍(Kihong Park) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
For increasing the performance of the ADAS, a advanced research about awareness of circumstance around the vehicle should be performed. In this paper, therefore, proposes the Risk Situation Awareness Algorithm based on Camera and Radar sensor to combined advantages of each sensor and represents quantitative index of risk situation. The sensors are medeled and driving environment is established using PreScan. To represents vehicle motion, CarSim is adopted. MATLAB/Simulink is used for co-simulation and realizing the awareness algorithm. The performance verification of proposed risk situation awareness algorithm is conducted via SILS with above softwares.