Abstract
This research is about investigating the advantage of using preview information for controlling emission aftertreatment systems on a conventional truck, specifically the Diesel Particulate Filter (DPF). This DPF requires an active regeneration from time to time, which removes the particulates from the filter, at the cost of fuel. When route preview information is used from e.g. geographical and telemetric systems, on-road system performance can be optimized over expected duty cycles for a specified time horizon. However, at this moment, state-of-the-art emission control does not use preview information. As a consequence, the performance of the emission aftertreatment control devices, e.g. for Diesel Oxidation Catalyst (DOC) and DPF, must be tuned conservatively to maintain legislative accordance and durability.
To show the feasibility of active regeneration scheduling of the DPF using preview information, the relevant drivetrain components are modeled, together with the baseline regeneration control of the DPF. These high-fidelity, parametric models are fitted and validated on test-bench and vehicle measurement data. For a set of representative drive cycles, the maximum potential of preview for DPF regeneration is quantified.
Using simplified control models, a previewing controller is designed, that is computationally efficient. The designed controller has the potential to reduce the fuel requirement of the DOC/DPF system by more than 50% per active regeneration, while complying to emission legislation.
Due to the large timescale of soot accumulation in the DPF, a large preview window is needed, typically beyond 2 hours of route information. In future work the availability of this information has to be tested for the intended long-haul applications.
KEYWORDS – Diesel Particulate Filter; regeneration scheduling; preview information; commercial vehicle; fuel reduction