E-COSM 2021 Paper Abstract

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Paper MoAT1.3

Kimura, Seitaro (The University of Tokyo), Takeshita, Akihiro (The University of Tokyo), Yamasaki, Yudai (The University of Tokyo), Muto, Mitsuhiro (Mazda Motor Corporation), Hikita, Takayuki (Mazda Motor Corporation), Fujii, Takuma (Mazda Motor Corporation)

Model-Based Control of HCCI Engine with Negative Valve Overlap Considering Engine Speed

Scheduled for presentation during the Invited session "Advanced model-based control of combustion engine" (MoAT1), Monday, August 23, 2021, 14:40−15:00, Room T1

6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, August 23-25, 2021, Tokyo, Japan

This information is tentative and subject to change. Compiled on April 19, 2024

Keywords Combustion Control, Engine Modeling, Engine Control

Abstract

This study intends to realize the model-based control of homogeneous charge compression ignition (HCCI) engines with the negative valve overlap method considering an effect of engine speed. First, a discrete model for the intake and exhaust processes of the HCCI engine is modified from the model of our previous study. The model’s inputs are the in-cylinder state values at the end of combustion, and the outputs are the in-cylinder state values at the intake valve closing (IVC) timing. The constructed model predicted the state values at IVC under different engine speed conditions, which are not used for calibration without significant accuracy deterioration from the previous model fitted at each engine speed. Next, the model-based feedforward controller using the proposed model was constructed. The controlled variables of the controller are the indicated mean effective pressure (IMEP) and the maximum pressure rise rate (MPRR) and the manipulated variables are the amount of fuel injection and valve profile. The performance of the constructed controller was evaluated by control simulation, which was conducted at different engine speeds. The result showed that IMEP followed the target values without misfiring, and the MPRR did not exceed the limit under all simulation conditions.

 

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