Mean value modelling of a poppet valve EGR-system
Because of new emission and on board diagnostics legislations,
heavy truck manufacturers are facing new challenges when it
comes to improving the engines and the control software.
Accurate and real time executable engine models are essential in
this work. One successful way of lowering the NOx emissions is to
use Exhaust Gas Recirculation (EGR). The objective of this thesis
is to create a mean value model for Scania's next generation EGR
system consisting of a poppet valve and a two stage cooler. The
model will be used to extend an existing mean value engine model.
Two models of different complexity for the EGR system have been
validated with sufficient accuracy. Validation was performed
during static test bed conditions. The resulting flow models have
mean relative errors of 5.0% and 9.1% respectively. The
temperature model suggested has a mean relative error of 0.77%.
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Last updated: 2021-11-10