E-COSM 2021 Paper Abstract

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Paper MoAT1.4

Duraiarasan, Saravanan (University of Michigan), Stefanopoulou, Anna G. (Univ Of Michigan), Middleton, Robert (University of Michigan), Salehi, Rasoul (General Motors), Mahesh, Siddharth (Daimler Trucks North America), Allain, Marc (Daimler Trucks North America)

Diesel Engine Transient NOx and Airpath Control Using Rate-Based Model Predictive Controller

Scheduled for presentation during the Invited session "Advanced model-based control of combustion engine" (MoAT1), Monday, August 23, 2021, 15:00−15:20, 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 March 29, 2024

Keywords Engine Control, Powertrain Control, Engine Exhaust Gas Aftertreatment

Abstract

This paper presents a rate-based model predictive control (MPC) design to track a fuel optimal reference intake manifold pressure without violating tailpipe oxides of Nitrogen (NOx) constraints utilizing dynamic linear air path and NOx model for one-step ahead prediction of a heavy-duty diesel engine. Hardware-in-the-loop experimental validation shows efficient tracking of desired intake manifold pressure with 1.4 % reduction in brake-specific fuel consumption, 2 % reduction in brake-specific engine-out NOx, 40 % reduction in brake-specific tailpipe NOx, and 6 % reduction in brake-specific urea consumption. This short horizon controller with minimal computational load can be either used as a stand-alone intake manifold pressure controller with emission constraint or in a hierarchical controller architecture.

 

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