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http://hdl.handle.net/11375/23819
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DC Field | Value | Language |
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dc.contributor.advisor | Yan, Fengjun | - |
dc.contributor.author | Li, Tongrui | - |
dc.date.accessioned | 2019-01-25T21:05:03Z | - |
dc.date.available | 2019-01-25T21:05:03Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/11375/23819 | - |
dc.description.abstract | To improve the performance of the three-way catalytic (TWC) converter, advanced control strategies and on-board diagnostics (OBD) systems are needed. Both rely on a relatively accurate but computationally efficient TWC converter model. This thesis aims to develop a control-oriented model that can be employed to develop the control strategies and OBD systems of the TWC converter. The thesis consists of two parts, i.e., the high-fidelity model development and the model reduction. Firstly, a high-fidelity model is built using the energy and mass conservation principles. In this model, a constant inlet simulation is used to validate the warming-up characteristics, and a driving cycle simulation is used to calibrate the reaction rate parameters. The results of the simulation show that the high-fidelity model has adequate accuracy. Secondly, a reduced-order model is developed based on phase and reaction simplifications of the high-fidelity model. The aim of the development of the reduced-order model is to propose a computationally efficient model for further development of control strategies and state estimators for OBD systems. The accuracy of the reduced-order model is then validated by means of simulations. | en_US |
dc.language.iso | en | en_US |
dc.subject | TWC | en_US |
dc.subject | High-fidelity model | en_US |
dc.subject | Reduced-order model | en_US |
dc.subject | Thermal management system | en_US |
dc.subject | Chemical kinetic | en_US |
dc.title | ONE-DIMENSIONAL HIGH-FIDELITY AND REDUCED-ORDER MODELS FOR THREE-WAY CATALYTIC CONVERTER | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Mechanical Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Li_Tongrui_201805_MASc.pdf | 8.09 MB | Adobe PDF | View/Open |
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