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EV 성능개발을 위한 SILS 기반의 PT 버추얼 환경 적용
이대흥(Daeheung Lee),최석환(Seokwhan Choi),우동현(Donghyeon Woo),이예은(Yeeun Lee),방재성(Jaesung Bang),유재석(Jaesuck Yoo),민성환(Sunghwan Min) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
In a situation in which the electronic control unit (ECU), components, and software of a vehicle are increasingly diversified and complicated, there is a time and cost limitation to test vehicle performance manually in a real vehicle environment. In this paper, in order to develop the powertrain performance of an electric vehicle, we consider the simulation environment using the virtual vehicle control unit (vVCU) for virtual calibration and optimization through a number of critical element technologies. As a result of this, we introduce some examples which are applying virtual optimization and calibration in the early stages of production development. The applied cases show significant M/H savings and it can reduce development time by approximately 40% for APS required torque mapping and others.
이대흥(Daeheung Lee),정종렬(Jongyeol Jeong),신창우(Changwoo Shin),박영일(Yeongil Park),임원식(Wonsik Lim),차석원(Sukwon Cha) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
With the additional power sources of electric motors, hybrid electric vehicles have flexibilities in managing and splitting their power to get the higher performances. In this paper, the engine/motor power split ratio algorithm is designed to develop the supervisory control method for heavy-duty parallel HEVs. And we presented a method for producing PSR line through DP. With this algorithm, engine/motor power split line is expressed as 2-dimensional map and using the developed driving control method, driving simulation is performed to evaluate vehicle performance and fuel economy. According to the simulation results, heavy -duty hybrid vehicle is superior to conventional vehicle(BUS) in fuel economy.
실 도로 주행사이클의 Aggressiveness에 따른 미래형 친환경 자동차의 시스템 효율 평가
이대흥(Daeheung Lee),서호원(Howon Seo),박영일(Yeongil Park),임원식(Wonsik Lim),차석원(Sukwon Cha) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
This paper proposes a definition of the driving aggressiveness which can describe the aggressive driving pattern of real-world driving schedule. Then vehicle simulations assess the sensitivity of fuel consumption to a wide range of driving pattern. Considered vehicles are a HEV and PHEV (10AER~40AER) as well as a conventional vehicle that is assumed to be available in the future, and the used fuel for each vehicle’s powertrain structure are gasoline, diesel, H₂ and ethanol. Through this research, the fuel consumption results are variable to the aggressiveness factor defined over real-world driving cycles and could be predicted with a specific driving schedule.
유성기어식 하이브리드 동력전달계의 모드 변환에 따른 동특성 해석
이대흥(Daeheung Lee),양호림(Horim Yang),박영일(Yongil Park),차석원(Sukwon Cha) 한국자동차공학회 2007 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The Transient characteristics affect to a passenger and driver in a vehicle when a hybrid vehicle changes a driving mode which is motor(EV) mode, engine mode, hybrid mode, etc. In this study, the analysis of transient characteristics for a HEV powertrain is carried out and the ride quality of the vehicle at the situation of mode change is analyzed. To perform a dynamic analysis, we construct the dynamic model by using ADMAS and define situations as mode change.
고부하 하이브리드 시스템의 연료 소모량 해석 시뮬레이터 개발
이대흥(Daeheung Lee),서호원(Howon Seo),김남욱(Namwook Kim),임원식(Wonsik Lim),차석원(Sukwon Cha) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
Hybrid system, which has been successfully used in vehicles, is introduced to conventional hydraulic excavators in these days. The purpose of this research is to evaluate the effect of hybridization using optimal theory (Dynamic Programming), when hydraulic swing motor of conventional excavator is replaced by electric motor. And also, on the analysis results, we deduce basic control logic about power distribution and apply it to the simulation program of hybrid excavator. We introduce two structures of hybrid excavators, and the best fuel consumption is solved from Dynamic Programming, which guarantees the minimum fuel consumption. And then, to apply control logic based on the analysis results, we develop the forward simulator program using AMESim and Matlab Simulink.
주행정보를 이용한 플러그인 하이브리드 자동차의 동력원 최적제어
이대흥(Daeheung Lee),정종렬(Jongryeol Jeong),서호원(Howon Seo),차석원(Sukwon Cha) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
Optimization based control methods for Plug-in hybrid electric vehicles require the knowledge of an entire driving cycle and an elevation profile to obtain optimal performance. In this paper, the method using ITS information for prediction of the future driving cycle, and the optimal control strategy based on Pontryagin’s Minimum Principle (PMP) are investigated in order to minimize fuel consumption on the trip distance. To predict future driving patterns, Dynamic Programming theory is proposed for the calculation of the vehicle speed with respect to the driving distance with ITS information. Simulation results show that this approach guarantees the best performance under reasonable condition and the minimization of the fuel consumption on the trip distance between origin and destination.
ITS 정보를 이용한 차량 속도 프로파일 예측 알고리즘 개발
이대흥(Daeheung Lee),서호원(Howon Seo),정종렬(Jongryeol Jeong),차석원(Sukwon Cha) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
The global solutions of energy management of plug-in hybrid electric vehicles depend on future driving conditions. This paper investigates a real-time methodology to predict long-horizon preview speed information for plug-in hybrid vehicles. To obtain the speed profile for future driving, Dynamic Programming (DP) method using distance based technique is investigated with considering some constraints which are traffic information on each trip segment. If it is realizable to obtain the precise information from the ITS and GIS, the prediction of the vehicle speed on the fixed trip distance can be possible in advance, and the result is considerably similar to actual driving pattern.