Study on the effect of Ce1-xMnxO2 catalyst on improving diesel emission performance

To reduce diesel emissions while permitting the passive regeneration of the diesel particulate filter (DPF) at low temperatures, we developed three after-treatment DPF devices. These devices consisted of a ceramic body that was either bare or loaded with the catalysts CeO2 (DPF-CeO2) or Ce0.5Mn0.5O2 (DPF-Ce0.5Mn0.5O2). The effects of these units on soot, NOx, CO, and hydrocarbon emissions were assessed. On average, the DPF-Ce0.5Mn0.5O2 device outperformed the DPF-CeO2 device. In addition, increasing the engine load was found to raise the exhaust temperature while increasing the soot oxidation efficiency and reducing soot emissions. The maximum soot removal percentages of the DPF-CeO2 and DPF-Ce0.5Mn0.5O2 were 37.6% and 55.1%, respectively, under B100 working conditions. The extent of NOx removal also gradually increased as the load increased, and the average removal percentages were 8.6% and 15.0%, respectively. Both catalytic devices lowered CO emissions to a much greater extent than the bare DPF, with average removals of 45.8% and 55.6%, respectively, while the average hydrocarbon oxidation values were 39.1% and 50.9%, respectively. Notably, the hydrocarbon emissions were almost zero after Ce1-xMnxO2 catalysis under C100 working conditions.

Experimental validation of a virtual engine-out NOx sensor for diesel emission control

Motivated by automotive emission legislations, a Virtual [Formula: see text] sensor is developed. This virtual sensor consists of a real-time, phenomenological model that computes engine-out [Formula: see text] by using the measured in-cylinder pressure signal from a single cylinder as its main input. The implementation is made on a Field Programmable Gate Array–Central Processing Unit architecture to ensure the [Formula: see text] computation is ready at the end of the combustion cycle. The Virtual [Formula: see text] sensor is tested and validated on an EURO-VI Heavy-Duty Diesel engine platform. The Virtual [Formula: see text] sensor is proven to meet the accuracy of a production [Formula: see text] sensor for steady-state conditions and has better frequency response compared to the production [Formula: see text] sensor.