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권재준(Jaejoon Kwon),이정목(Jeongmok Lee),이승섭(Seungseop Lee),정승민(Seungmin Jung),최재영(Jaeyoung Choi) 한국자동차공학회 2020 한국자동차공학회 부문종합 학술대회 Vol.2020 No.7
Recently, the automotive industry is facing a transition to the MECA(Mobility, Electrification, Connectivity and Autonomous driving) era. In order to transition to the MECA era, it is essential to shorten the vehicle development cycle, and it is necessary to convert the conventional physical development environment into a virtual development environment. In the virtual development environment, early performance development and sufficient verification are possible in the early stages of design, thereby ensuring efficient quality. In this paper, the design process for MDPS steering feel performance prediction and early performance development using HILS-based virtual development environment is proposed.
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.
자율주행 차로 유지 성능 개선을 위한 RWS 제어 전략
배상홍(Sanghong Bae),권재준(Jaejoon Kwon),민경욱(Kyoungwook Min),임경수(Kyoungsoo Lim),오세욱(Sewook Oh) 한국자동차공학회 2022 한국자동차공학회 부문종합 학술대회 Vol.2022 No.6
This paper proposes a new control strategy of RWS system for improving lane following performance of autonomous driving, not the well-known general control strategy of the RWS system. The general control strategy of the RWS system is well known as out-of-phase control to increase steering convenience at low speeds and in-phase control to increase vehicle stability at mid-high speeds. The new control strategy is proposed based on the fact that the cornering characteristic of the vehicle shows a tendency to oversteer when performing out-of-phase control instead of in-phase control at mid-high speeds. The new control strategy increases vehicle responsiveness and ultimately minimizes the change in front wheel steering fluctuation by performing RWS out-of-phase control in the mid-high speeds on-center area corresponding to the lane following situation of autonomous driving. The effectiveness of the new control strategy was verified through an actual vehicle test, and based on this result, it was confirmed that this control strategy was helpful in improving the lane following performance.
MDPS 제어로직 개발을 위한 EILS 구축에 관한 연구
김태욱(Taewook Kim),권재준(Jaejoon Kwon),김선희(Sunhee Kim),박기홍(Kihong Park),허승진(Seungjin Heo) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
Electric Power Steering(EPS) mechanism has become widely equipped in the vehicles due to the environmental consciousness and higher fuel efficiency. This paper is to design a ECU In the Loop Simulation(EILS) in order to develop a EPS logic. EILS has a good advantage in terms of time and cost saving. EILS system is driven by the inputs of the steering wheel angle, the acceleration pedal position and the brake pedal position using CarSim vehicle model with 27 DOF. The alignment torque corresponding to the reaction torque is realized by a motor attached to the steering rack. EILS adopts the column type of EPS which generates the assist torque from the column.
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.