Limitations of Real-Time Engine-Out NOx Estimation in Diesel Engines 2017-01-0963
Many excellent papers have been written about the subject of estimating engine-out NOx on diesel engines based on real-time available data. The claimed accuracy of these models is typically around 6-10% on validation data sets with known inputs. This reported accuracy typically ignores input uncertainties, thus arriving at an optimistic estimate of the model accuracy in a real-time application. In our paper we analyze the effect of input uncertainty on the accuracy of engine-out NOx estimates via a numerical Monte Carlo simulation and show that this effect can be significant. Even though our model is based on an in-cylinder pressure sensor, this sensor is limited in its capability to reduce the effect of other measured inputs on the model.
Citation: Cho, H., Brewbaker, T., Upadhyay, D., Fulton, B. et al., "Limitations of Real-Time Engine-Out NOx Estimation in Diesel Engines," SAE Technical Paper 2017-01-0963, 2017, https://doi.org/10.4271/2017-01-0963. Download Citation
Author(s):
Hoon Cho, Thomas Brewbaker, Devesh Upadhyay, Brien Fulton, Michiel Van Nieuwstadt
Affiliated:
Ford Motor Company
Pages: 8
Event:
WCX™ 17: SAE World Congress Experience
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Diesel / compression ignition engines
Nitrogen oxides
Simulation and modeling
Pressure
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