AAC 2019 Paper Abstract

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Paper ThAT1.4

Canova, Marcello (The Ohio State University), rostiti, cristian (The Ohio State University)

Model Order Reduction for Control of Engine Thermal Management Systems Using Singular Perturbation

Scheduled for presentation during the Regular Session "Plug-in Hybrid H.E.V." (ThAT1), Thursday, June 27, 2019, 11:30−11:50, Chambord

9th IFAC International Symposium on Advances in Automotive Control, June 23-27, 2019, Orléans, France

This information is tentative and subject to change. Compiled on April 26, 2024

Keywords Plant Modelling and System Identification

Abstract

Improvements in engine efficiency are required to meet the increasingly rigorous regulation standards. To achieve this goal, more efficient procedures for modeling system, simulations and model-based control are required. In this paper we propose a methodology to simplify complex engine thermal management models for control purposes. A direct analysis of a complex physics-based model for the engine thermal management system is used to provide a first level of approximation. Singular perturbation is then used to further decrease the complexity of the model without losing prediction performance. The reduced model is then compared to the complete model and simulation results confirm the validity of the approach.

 

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