AAC 2022 Paper Abstract

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Paper MoAT3.3

Vlaswinkel, Maarten (Eindhoven University of Technology), de Jager, Bram (Technische Universiteit Eindhoven), Willems, Frank (Eindhoven University of Technology)

Data-Based In-Cylinder Pressure Model Including Cyclic Variations of an RCCI Engine

Scheduled for presentation during the Regular Session "Modeling, Estimation, and Control of Internal Combustion Engine - I" (MoAT3), Monday, August 29, 2022, 11:40−12:00, Pfahl Hall 140

10th IFAC International Symposium on Advances in Automotive Control, August 28-31, 2022, Columbus, Ohio, USA

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Combustion modeling and control: spark ignition, compression ignition, low temperature combustion, Dual fuel control, bio-fuels or bio-gas alternatives

Abstract

Abstract For advanced pre-mixed combustion concepts, Cylinder Pressure-Based Control is a key concept for robust operation. It also opens the possibility for on-line heat release shaping. For cost and time efficient development of these controllers, fast control-oriented combustion models that predict average in-cylinder pressure traces have been proposed. However, they are not able to capture cyclic variations. In this study, a data-based modelling procedure is proposed to predict the in-cylinder pressure trace and cyclic variation during the combustion cycle. The inputs to the model are the in-cylinder conditions at intake valve closing and the fuelling settings. The proposed model is based on experimental data, Principal Component Analysis and Gaussian Process Regression. This new data-driven approach is applied to model the combustion behaviour of a Reactivity Controlled Compression Ignition engine running on Diesel and E85. The resulting model has a root-square-mean-error of average behaviour and cyclic variance of 0.8◦ and 0.2◦^2 in CA50, 0.1 bar and 0.03 bar^2 in Gross Indicated Mean Effective Pressure, and 0.1 % and 0.001 %^2 in the Gross Indicated Efficiency, respectively.

 

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