Modeling the dynamics of Gasoline Particulate Filters for On-board Vehicle Emission Reduction
Heavy reliance on carbon-based energy sources have led to an estimated 9% of global lung cancer caused by harmful pollutants and degradation of environmental air quality. Moreover, vehicles operating with gasoline direct injection engines have been observed to emit a significant amount of soot particulate matter (PM) into the atmosphere under certain operating modes. The need to mitigate such hazardous emissions presents an urgent technological and social concern. Increasingly stringent regulations are being imposed across the world to improve the exhaust air quality of transportation vehicles.
Particulate filters are practically adoptable soot PM mitigation devices in the vehicle exhaust system, and have been successfully implemented in diesel vehicles. However, this technology is still in the nascent phase of implementation in gasoline vehicles. In this work, we present a control-oriented model to characterize exhaust gas transport in a ceria-coated Gasoline Particulate Filter (GPF). The model incorporates both oxygen- and ceria-initiated oxidation reaction kinetics to predict the thermal and soot oxidation dynamics of the coated GPF. To assess model performance, both parameter identification and model validation are performed using independent data sets from laboratory experiments conducted on a ceria-coated GPF. Results indicate that the proposed model can be successfully implemented as a virtual sensor for on-board applications to predict ceria-coated GPF behavior under diverse operating conditions.