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http://dx.doi.org/10.7467/KSAE.2013.21.6.092

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

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)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.21, no.6, 2013 , pp. 92-99 More about this Journal
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
Parallel hybrid electric vehicle; Fuel economy sensitivity; Input parameter; Forward simulation; Root mean square error;
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Times Cited By KSCI : 2  (Citation Analysis)
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