Modeling the thermal dynamics inside a ceria-coated Gasoline Particulate Filter

This work presents the first-ever control oriented model to predict the thermal dynamics inside a ceria-coated Gasoline Particulate Filter (GPF). By incorporating catalytic reaction kinetics in addition to the carbon to CO2 oxidation reactions, the proposed model predicts the internal GPF temperature during nominal operation and regeneration events. The model utilizes the GPF inlet exhaust gas temperature to predict the internal GPF temperature. Parameter identification and model validation are performed using data obtained from experiments with a ceria-coated GPF installed on a vehicle using a direct injection engine operated in a chassis dynamometer laboratory. It is demonstrated in this work that the model predicts ceria-coated GPF thermal dynamics for different initial soot loadings and engine operating conditions within a root mean square (RMS) error of 5%.

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