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Multi-Physics Engine Simulation Framework for Drive Cycle Emissions Prediction. Development and Validation of a Framework for Transient Drive Cycle NOx Prediction Modelling based on Combining 1-D and 0-D Internal Combustion Engine Simulation and Statistical Meta-Modelling
Korsunovs, Aleksandrs
Korsunovs, Aleksandrs
Publication Date
2019
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The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
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Accepted for publication
Institution
University of Bradford
Department
Faculty of Engineering and Informatics
Awarded
2019
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Abstract
Real-time full powertrain drive cycle simulations with high-fidelity engine-out NOx emissions prediction capability is a significant challenge nowadays. Specifically, being able to perform these simulations early in engine development process would allow powertrain optimisation in virtual space, leading to reduction in powertrain development cost and time saving benefits.
This thesis presents the development of a Multi-Physics Engine Simulation
(MPES) platform to address this challenge. The development of the MPES
platform is based on a coupled virtual 2.0 litre Diesel engine model (GT- Suite 1-D air path model) and in-cylinder combustion model (CMCL Stochastic Reactor Model (SRM) Engine Suite). A set of steady state and drive cycle physical measurements obtained from physical engine testing on a dynamometer was available for the calibration and validation of the simulation models and the MPES framework.
A comprehensive study on SRM NOx prediction potential is presented,
underpinned by a detailed space-filling design of experiments (DoE)-based
sensitivity analysis of both external and internal parameters, evaluating their
effects on the accuracy in matching physical measurements of both in-cylinder conditions and NOx output. Moreover, an automatic stochastic reactor engine model calibration methodology across the engine operating envelope, based on a multi-objective optimization approach is presented.
Real-time simulation capability for the MPES platform was achieved by
substituting the time-expensive combustion chemistry solver (SRM) with a
surrogate model for NOx emissions, based on OLH experiments replicating
steady state testing, on the engine simulation platform. The transient
performance of MPES was validated on a simulated NEDC drive cycle, against
the experimental data available. The capability of MPES to capture the transient NOx trends and values shows promising results and reveals great potential for further exploration and application to powertrain development process.
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Type
Thesis
Qualification name
PhD