Abstract
A new procedure, based on measurement of intake CO2 concentration and ambient humidity was developed and assessed in this study for different diesel engines in order to evaluate the oxygen concentration in the intake manifold. Steady-state and transient datasets were used for this purpose. The method is very fast to implement since it does not require any tuning procedure and it involves just one engine-related input quantity. Moreover, its accuracy is very high since it was found that the absolute error between the measured and predicted intake O2 levels is in the ±0.15% range. The method was applied to verify the performance of a previously developed NOx model under transient operating conditions. This model had previously been adopted by the authors during the IMPERIUM H2020 EU project to set up a model-based controller for a heavy-duty diesel engine. The performance of the NOx model was evaluated considering two cases in which the intake O2 concentration is either derived from engine-control unit sub-models or from the newly developed method. It was found that a significant improvement in NOx model accuracy is obtained in the latter case, and this allowed the previously developed NOx model to be further validated under transient operating conditions.
Highlights
Academic Editor: EvangelosAmong the different techniques that are currently being investigated to improve the performance and reduce the environmental impact of the transport sector, the model-based control methodology represents an area of interest for both industry and academia
It was found that a significant improvement in nitrogen oxide (NOx) model accuracy is obtained in the latter case, and this allowed the previously developed NOx model to be further validated under transient operating conditions
The results of the procedure were compared with those derived from the methodology reported in [22], which is based on the use of a detailed combustion reaction to evaluate the intake charge composition and requires the measurement of all the main chemical species at the engine exhaust, together with the intake CO2 concentration
Summary
Among the different techniques that are currently being investigated to improve the performance and reduce the environmental impact of the transport sector, the model-based control methodology represents an area of interest for both industry and academia. This interest can be confirmed by several studies that have recently been reported in the literature. In [3], the authors described a hierarchical-model predictive-control framework that can be used to coordinate the power split and the thermal management of the exhaust in diesel hybrid electric vehicles, with the aim of reducing fuel consumption and optimizing the exhaust temperature. In [6], the authors conducted a thorough review of model predictive
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