Hc. Krijnsen et al., Evaluation of an artificial neural network for NOx emission prediction from a transient diesel engine as a base for NOx control, CAN J CH EN, 78(2), 2000, pp. 408-417
For an adequate control of the reductant flow in selective catalytic reduct
ion of NOx in diesel exhaust, a tool has to be available to predict accurat
ely and fast the engine's NOx emission, in this article the application of
a neural network is proposed. Measurements were performed on a transient di
esel engine. The average absolute deviation between the measured NOx emissi
on and the emission predicted by the neural network is 6.7%. The high accur
acy of the neural network predictions, combined with the short computation
times (0.2 ms/data point), makes the neural network a very promising tool i
n automotive NOx control.