Abstract
This study presents a semi-empirical modeling approach based on an extensive parametric study using a spark-ignition port-injection engine. The experimental results are used to derive engine-out emission models for each regulated pollutant (CO, HC, NOx) as a function of engine operating parameters. Such parameters include engine speed, intake manifold pressure, equivalence ratio, and spark advance. The proposed models provide accurate predictions over a large range of engine operating conditions. The adequate accuracy and low computational burden of the models are promising in the context of optimal control theory. Dynamic programming is applied in order to find the best operating parameters that define trade-off between fuel consumption and emissions over driving cycles.
Highlights
Transportation is one of the major contributors to pollutant emissions and greenhouse gas emissions [1,2]
In the first part of this section, we present a pollution centered scenario which is compared to the reference strategy where nominal parameters are retrieved
It can be noticed that a low weighting parameter (α = 0.1) of the objective function makes it possible to reduce pollutant emissions to a large extent without altering fuel consumption
Summary
Transportation is one of the major contributors to pollutant emissions and greenhouse gas emissions [1,2]. More stringent regulations have been introduced in order to reduce the negative impact of transportation systems [3]. More and more efficient and expensive after-treatment systems have been introduced in order to reduce pollutant emissions from internal combustion engines such as the three way catalyst (TWC), the Diesel particulate filter (DPF) and the selective catalytic reduction (SCR). These devices are highly efficient but require specific operating conditions, as well as long and complex calibration procedures which induce a very high development cost of the internal combustion engine [4]. Real Driving Emissions (RDE) measurements are performed and this makes calibration procedures even more complex and expensive
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