A new approach in improvement of mean value models for spark ignition engines using neural networks. Issue 12 (15th July 2015) - Shamekhi, Amir-Mohammad
Highlights We present a highly accurate, real-time control-oriented model for SI engines. Incorporating neural nets into mean value models, we achieve a grey-box extension. Neuro-MVM is much more accurate than MVM, and is also more reliable than a mere NN. The model precisely predicts transient conditions, in a wide range of reliability. This study reaches high levels of accuracy in designing neural networks.