Abstract
The next generation of diesel particulate filters (DPF) will be optimized with respect to system costs and packaging without decreasing their reliability; promising measures are the usage of alternative substrates and integration of catalysts to the DPF. Its thermal stability will be determined by the maximum soot mass loading. The presented work describes a methodology to assess the maximum soot mass limit by advanced modeling and regeneration control. The methodology comprises the accelerated calibration of a regeneration peak temperature limitation by applying Design of Experiments, its integration into the ECU software and the physical modeling of the catalyzed DPF. The physical model was experimentally validated and the results showed very good agreement. The combination of the DoE polynomial model and the validated physical DPF model allow the calculation and optimization of the critical soot mass limit for selected boundary conditions on-desk. Furthermore, the benefit of the regeneration peak temperature limitation on the NOx performance of an exemplary 4-way catalyst could be shown.
Keywords:DPNR, critical soot mass limit, modelling, regeneration control, catalyzed diesel particulate filter