In light of more stringent exhaust emission legislations the Diesel Particulate Filter (DPF) has been widely introduced as an exhaust after treatment device for light as well as heavy duty vehicles. The most common type of DPF is a wall-flow filter which removes in large part the particulate matter from the exhaust gas. Inherent to its working principle the exhaust back pressure increases as the accumulated particulate matter augments, making a cyclic regeneration of the DPF necessary. However, in low- to medium-load operation the engine exhaust temperatures required for DPF regeneration are not achieved. Therefore, the engine management system needs to intervene and raise the exhaust temperature compare to normal operation. This is usually done by using a combination of intake throttling and a modified injection profile. Complicated control algorithms are state-of-the-art in order to avoid any negative impact on driveability and to compensate for varying boundary conditions. In the present publication, the optimization potential of a model-based injection management approach for the regeneration of a DPF is presented and discussed. The goal is, on the one hand, to reduce calibration effort for non standard conditions and on the other hand to achieve a fast and robust regeneration of the DPF during transient operation. This leads to an improved operating reliability, lower fuel consumption and a lower KI-factor for the emission homologation. Experimental results in steady state and transient operation show a torque accuracy well within series type calibration standards of ±10 Nm as well as a very low open loop control error for the temperature upstream turbine (±30 °C for more than 80 % of the investigated load points). Within the model-based controller, a new combustion control parameter, the centroid of heat release, is introduced and used for its calibration.
Optimized DPF regeneration by using a model-based injection management approach
Modellbasiertes Einspritzmanagement zur Regeneration eines Dieselpartikelfilters
2012
16 Seiten, 9 Bilder, 1 Tabelle, 6 Quellen
Conference paper
Storage medium
English
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