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
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;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580647