Modeling of gasoline particulate filter regeneration: sensitivity of numerical solutions
2022-01-0679
03/29/2022
- Event
- Content
- Gasoline Direct-Injection (GDI) engine technology improves vehicle fuel economy toward future targets and simultaneously decreases CO2 emissions. The main drawback of this technology is the increased emission of particulates (when compared to their indirect injection-based technology counterpart). Thus, aftertreatment devices such as Gasoline Particulate Filters (GPFs) are today considered the most promising and practically adoptable solution to limit PM/PN out of GDI exhaust. The particulate filter traps soot particles resulting from fuel combustion and prevents their release into the atmosphere. Soot oxidation (also known as regeneration) is required at regular intervals to clean the filter, maintain a consistent soot trapping efficiency, and avoid the formation of soot plugs in the GPF channel. In this paper, starting from a multiphysics GPF model accounting for mass, momentum, and energy transport developed in our laboratory, a sensitivity analysis is carried out to choose the best mesh refinement, sampling time, and relative tolerance to ensure a stable solution of the transport equations during regeneration and a reasonably low computational time. Moreover, numerical solutions are analyzed with respect to different smoothing of the model inputs, namely, experimental exhaust gas temperature and mass flow rate.
- Citation
- Levine, K., Pozzato, G., and Onori, S., "Modeling of gasoline particulate filter regeneration: sensitivity of numerical solutions," SAE Technical Paper 2022-01-0679, 2022, .