Cold-Start Modeling and On-Line Optimal Control of the Three-Way Catalyst
Jonathan Lock, Kristoffer Clas\'en, Jonas Sj\"oblom, Tomas McKelvey

TL;DR
This paper develops a physics-based model for the three-way catalyst during cold-start, calibrates it with experimental data, and designs a Pareto-optimal control strategy to reduce emissions and improve fuel efficiency.
Contribution
It extends existing TWC models to include variable discretization and hydrogen heat effects, and demonstrates a Pareto-optimal control approach for cold-start emissions.
Findings
Model predicts emissions with -20% to +80% error.
Pareto control reduces cold-start emissions.
Potential fuel efficiency improvements.
Abstract
We present a three-way catalyst (TWC) cold-start model, calibrate the model based on experimental data from multiple operating points, and use the model to generate a Pareto-optimal cold-start controller suitable for implementation in standard engine control unit hardware. The TWC model is an extension of a previously presented physics-based model that predicts carbon monoxide, hydrocarbon, and nitrogen oxides tailpipe emissions. The model axially and radially resolves the temperatures in the monolith using very few state variables, thus allowing for use with control-policy based optimal control methods. In this paper we extend the model to allow for variable axial discretization lengths, include the heat of reaction from hydrogen gas generated from the combustion engine, and reformulate the model parameters to be expressed in conventional units. We experimentally measured the…
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