DocumentCode
2913615
Title
Model-order reduction for prediction of pressure wave propagation dynamics in the IC engine air path system
Author
Stockar, Stephanie ; Canova, Marcello ; Guezennec, Yann
Author_Institution
Center for Automotive Res., Ohio State Univ., Columbus, OH, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
5201
Lastpage
5206
Abstract
The automotive industry is currently striving to adopt efficient procedures for model-based control of advanced IC engine systems. Such procedures require accurate and computationally cheap engine air path models predicting the cylinder charge composition and thermodynamic conditions at intake valve closing. To this extent, this paper presents a modeling approach to predict the pressure and flow in the intake and exhaust port of IC engine air path systems. Instead of operating simplifications on the system geometry, an analytical model-order reduction procedure is applied to characterize the dynamics of the air path system starting from the fundamental conservation laws, namely the nonlinear Euler equations for unsteady compressible flows. As a case study, the proposed approach is applied to the characterization of the intake and exhaust flows in the manifolds of a single-cylinder engine. The results are compared against a validated gasdynamic simulation code considering different spatial discretization length conditions. This allows one to establish a trade-off between accuracy and stability and computation time of the proposed solution method.
Keywords
automobile industry; automotive engineering; compressible flow; control system synthesis; geometry; internal combustion engines; nonlinear equations; reduced order systems; thermodynamics; valves; wave propagation; IC engine air path system; automotive industry; conservation laws; cylinder charge composition prediction; exhaust flow characterization; flow prediction; gasdynamic simulation code; intake flow characterization; intake valve; model-based control design; model-order reduction procedure; nonlinear Euler equations; pressure prediction; pressure wave propagation dynamics prediction; spatial discretization length conditions; system geometry; thermodynamic condition prediction; unsteady compressible flows; Atmospheric modeling; Computational modeling; Engines; Equations; Integrated circuit modeling; Mathematical model; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580647
Filename
6580647
Link To Document