DocumentCode :
2089105
Title :
Numerical Simulation of Combination Engine HEV on Fuel Economy
Author :
Song, Enzhe ; Fan, Liyun ; Liu, Guodong ; Long, Wuqian
Author_Institution :
Coll. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China
Volume :
4
fYear :
2010
fDate :
14-15 Aug. 2010
Firstpage :
244
Lastpage :
249
Abstract :
A concept of combination engine is presented, and applied it on Hybrid Electrical Vehicles (HEV). The fuel economy characteristics of the new power system and that of normal power system with conventional engine were compared and analyzed by numerical simulation at different driving cycles. The simulation results show that the maximum fuel economy of vehicle with combination engine is 7% better than vehicle with conventional engine. In addition, the maximum fuel economy improvement is 8% and realizes the mild hybrid system if combination engine is used in HEV. Thus, reduces the cost. The fuel economy characteristics of HEV with combination engine under different state of charge and engine power ratio conditions were simulated. It is concluded that the combination engine with equal power ratio is more reasonable for the design of HEV. At last, the fuel economy sensitivity coefficient concept is introduced and applied in the analysis. Through sensitivity coefficient analysis, it is concluded that motor has the highest sensitivity coefficient. The combination engine HEV has lower motor and battery sensitivity coefficient than conventional engine HEV. Therefore, the dependence on motor and battery is reduced if combination engine is used in HEV.
Keywords :
battery powered vehicles; diesel engines; hybrid electric vehicles; numerical analysis; sensitivity analysis; HEV; battery sensitivity coefficient; combination engine; engine power ratio; fuel economy; hybrid electrical vehicles; sensitivity coefficient analysis; Batteries; Engines; Fuel economy; Hybrid electric vehicles; Sensitivity; System-on-a-chip; Combination engine; Economy analysis; HEV; sensitivity coefficient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
Type :
conf
DOI :
10.1109/ICIE.2010.349
Filename :
5572731
Link To Document :
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