4WD 하이브리드 차량의 시스템 파라미터 변화에 따른 연비 민감도 분석
Analysis of Fuel Economy Sensitivity according to system parameter of 4WD Hybrid vehicle
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초록
Because of environmental pollution and lack of resources, necessity of energy efficiency improvement and reduction of exhaust gas emission and CO2 have grown in importance. Therefore a lot of studies are conducted for HEV(hybrid electric vehicle) and PHEV(plug-in hybrid electric vehicle). In addition, automobile companies are researching and manufacturing HEV and PHEV. Due to cost and time problem, simulation is preferred than experimental test to find better component size for efficiency improvement. In this research, backward simulation program is developed base on Dynamic Programming. Using this simulation program, fuel economy sensitivities for each parameter are analyzed and compared. Fuel economy is measured for a combined cycle that is calculated from FTP-75 and HWFET cycle. The target parameters are front/rear power train efficiency, drag coefficient, vehicle mass, rolling resistance coefficient, tire radius, center of gravity. The most sensitive parameter is front power train efficiency and second is drag coefficient. Rear power train efficiency, vehicle mass, rolling resistance coefficient are third, forth and fifth. By comparing sensitivities, we can choose a better way to improve fuel economy of HEV.
Abstract
Because of environmental pollution and lack of resources, necessity of energy efficiency improvement and reduction of exhaust gas emission and CO2 have grown in importance. Therefore a lot of studies are conducted for HEV(hybrid electric vehicle) and PHEV(plug-in hybrid electric vehicle). In addition, automobile companies are researching and manufacturing HEV and PHEV. Due to cost and time problem, simulation is preferred than experimental test to find better component size for efficiency improvement. In this research, backward simulation program is developed base on Dynamic Programming. Using this simulation program, fuel economy sensitivities for each parameter are analyzed and compared. Fuel economy is measured for a combined cycle that is calculated from FTP-75 and HWFET cycle. The target parameters are front/rear power train efficiency, drag coefficient, vehicle mass, rolling resistance coefficient, tire radius, center of gravity. The most sensitive parameter is front power train efficiency and second is drag coefficient. Rear power train efficiency, vehicle mass, rolling resistance coefficient are third, forth and fifth. By comparing sensitivities, we can choose a better way to improve fuel economy of HEV.
참고문헌 (8)
- 윤준호, "필터 입구관 길이에 따른 디젤매연필터 내부의 온도분포 특성에 관한 연구", 한국기계기술학회지, 14(5), pp.17~23 (2012), 한국기계기술학회
- 권문성, "다양한 주행 조건별 병렬형 하이브리드 차량의 연비 성능 분석", 한국기계기술학회지, 17(4), pp.683~690 (2015), 한국기계기술학회
- Kiyoung Kim, "Fuel economy analysis according to system parameter configuration for hybrid vehicle", Transaction of KSAE, pp.1239~1240 (2014)
- Lino Guzzella, "Vehicle Propulsion Systems", pp.27~30 (2005), Springer
- Rajesh Rajamani, "Vehicle Dynamics and Control", pp.87~111 (2012), Springer-Verlag
- T. D. Gillespie, "Fundamentals of Vehicle Dynamics", pp.342~344 (1992), Society of Automotive Engineers, Inc.
- Donald E. Kirk, "Optimal Control Theory. An Introduction", pp.53~95 (1970), Prentice Hall
- Namwook Kim, "Backward Simulator for Calculating Optimal Control Trajectories", Transaction of KSAE, pp.1498~1503 (2009)
