DocumentCode
1936876
Title
Analysis of modeling and simulation methodologies for vehicular propulsion systems
Author
Hofman, T. ; van Leeuwen, D.
Author_Institution
Dept. of Mech. Eng., Tech. Univ. Eindhoven, Eindhoven, Netherlands
fYear
2009
fDate
7-10 Sept. 2009
Firstpage
1619
Lastpage
1626
Abstract
In this paper, three different modeling and simulation methods (forward dynamic, quasi-static backwards, and inverse dynamic) will be compared and the simulation results using these methods will be analyzed. The base line vehicle used in this paper consists of a conventional drive train with a natural aspirated engine. From a Forward Dynamic (FDM) model, a Forward Quasi-static (FQM) and a Backward Quasi-static Model (BQM) for the engine will be derived. The difference in simulation results for the base line vehicle used on representative driving cycles (NEDC, FTP75) will be discussed. The forward dynamic model contains a scalable engine model based on physical laws. The accuracy of this model will be investigated by comparing simulation results with measured quasi-static efficiency data of actual engines. The work presented in this paper will form the basis to develop a modeling, simulation and design method which can be used for quick (alternative, or hybrid) drive train specification, or (supervisory) control calibration with sufficient accuracy.
Keywords
fuel economy; internal combustion engines; power transmission (mechanical); railway engineering; vehicle dynamics; backward quasi-static model; base line vehicle; drive train; driving cycles; forward dynamic model; forward quasi-static model; inverse dynamic; natural aspirated engine; quasi-static efficiency data; vehicular propulsion system; Analytical models; Automotive engineering; Design optimization; Engines; Mathematical model; Power system modeling; Propulsion; Vehicle driving; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
Conference_Location
Dearborn, MI
Print_ISBN
978-1-4244-2600-3
Electronic_ISBN
978-1-4244-2601-0
Type
conf
DOI
10.1109/VPPC.2009.5289633
Filename
5289633
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