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Analysis of Fuel Economy Sensitivity for Parallel Hybrid Bus according to Variation of Simulation Input Parameter

병렬형 하이브리드 버스의 시뮬레이션 입력 매개변수 변화에 따른 연비 민감도 분석

  • Choi, Jongdae (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Jeong, Jongryeol (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Lee, Daeheung (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Shin, Changwoo (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Park, Yeong-Il (Department of Mechanical System Design Engineering, Seoul National University of Science and Technology) ;
  • Lim, Wonsik (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology) ;
  • Cha, Suk Won (School of Mechanical and Aerospace Engineering, Seoul National University)
  • 최종대 (서울대학교 기계항공공학부) ;
  • 정종렬 (서울대학교 기계항공공학부) ;
  • 이대흥 (서울대학교 기계항공공학부) ;
  • 신창우 (서울대학교 기계항공공학부) ;
  • 박영일 (서울과학기술대학교 기계시스템디자인공학과) ;
  • 임원식 (서울과학기술대학교 기계자동차공학과) ;
  • 차석원 (서울대학교 기계항공공학부)
  • Received : 2013.03.13
  • Accepted : 2013.04.29
  • Published : 2013.11.01

Abstract

High oil price and global warming problem are being continued all over the world. For this reason, fuel economy and emission of greenhouse gas are regulated by law in many countries. Therefore many companies are researching and producing hybrid electric vehicles (HEVs) which substitute conventional internal combustion engine vehicle. However, these researches and productions are restricted to mainly passenger cars. Because of cost and physical problems, commercial vehicles are difficult to evaluate fuel economy. So simulations are important and it is necessary to know how sensitive parameters that enter into simulation affect. In this paper, forward simulations using AVL Cruise were conducted for analysis of fuel economy for parallel hybrid bus and were repeated by changing each parameter. Based on these results, root mean square errors (RMSE) are calculated for analysis of fuel economy sensitivity. The number of target parameters are 15. These parameters were classified with high and low sensitivity parameter relatively.

Keywords

References

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