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dc.contributor.authorPant, Gaurav
dc.contributor.authorCampean, I. Felician
dc.contributor.authorKorsunovs, Aleksandrs
dc.contributor.authorNeagu, Daniel
dc.contributor.authorGarcia-Afonso, Oscar
dc.date.accessioned2021-02-23T09:51:22Z
dc.date.accessioned2021-03-01T10:14:43Z
dc.date.available2021-02-23T09:51:22Z
dc.date.available2021-03-01T10:14:43Z
dc.date.issued2021-03
dc.identifier.citationPant G, Campean IF, Korsunovs A et al (2021) Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform. SAE International Journal of Engines. 14(2): 2021.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18376
dc.descriptionYesen_US
dc.description.abstractThis paper introduces a hybrid dynamic modelling approach for the prediction of NOx emissions for a Diesel engine, based on a multi-physics simulation platform coupling a 1-D air path model (GT-Suite) with in-cylinder combustion model (CMCL Stochastic Reactor Model Engine Suite). The key motivation for this research was the requirement to establish a real time stochastic simulation capability for emissions predictions early in engine development, which required the replacement of the slow combustion chemistry solver (SRM) with an appropriate surrogate model. The novelty of the approach in this research is the introduction of a hybrid approach to metamodeling that combines dynamic experiments for the gas path model with a zonal optimal space-filling design of experiments (DoEs) for the combustion model. The dynamic experiments run on the virtual Diesel engine model (GT- Suite) was used to fit a dynamic model for the parameters required as input to the SRM. Optimal Latin Hypercubes (OLH) DoE run on the SRM model was used to fit a response surface model for the NOx emissions. This surrogate NOx model was then used to replace the computationally expensive SRM simulation, enabling real time simulations of transient drive cycles to be executed. The performance of the proposed approach was validated on a simulated NEDC drive cycle against experimental data collected for the engine case study, which proved the capability of methodology to capture the transient trends for the NOx emissions. The significance of this work is that it provided an efficient approach to the development of a global model with real time transient modelling capability based on the integration of dynamic and local DoE metamodeling experiments.en_US
dc.language.isoenen_US
dc.publisherSAE
dc.relation.isreferencedbyhttps://doi.org/10.4271/03-14-02-0017en_US
dc.rights(c) 2021 SAE. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectEngine modellingen_US
dc.subjectDynamic modellingen_US
dc.subjectEmission modellingen_US
dc.subjectLOLIMOTen_US
dc.subjectLocal model networksen_US
dc.subjectSRMen_US
dc.titleHybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platformen_US
dc.status.refereedYesen_US
dc.date.Accepted2020-12-14
dc.date.application2021-02-12
dc.typeTechnical paperen_US
dc.date.EndofEmbargo2021-08-12
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 12 Aug 2021.en_US
dc.date.updated2021-02-23T09:51:28Z
refterms.dateFOA2021-03-01T10:17:38Z
dc.openaccess.statusGreenen_US


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