Neural Network Prediction of Engine Performance for Second Pulse Fire/No Fire Decision Making in Dual Pulse Laser Ignited Engines

Laser Ignition Conference (LIC) 2015 © OSA 2015 Th4A.3

Vincent Page1), Hua Cheng1), Tom Shenton1), Elliott Lyon2), Zheng Kuang2), Geoff Dearden2)

1). Powertrain Control Group, Centre for Engineering Dynamics, University of Liverpool, Liverpool L69 3GH, UK

2). Laser Group, Centre for Material and Structures, University of Liverpool, Liverpool L69 3GQ, UK,

Abstract:

The benefits of firing the second laser pulse controlled by predicting the performance of a cycle from the cylinder pressure earlier in the cycle are investigated using methods that uses curve matching and neural networks