Improving prediction accuracy of ignition model by weighting using machine learning
Compression auto-ignition engines have a high potential to achieve both high thermal efficiency and low emission of harmful exhaust gases, but they have a problem of difficult control of ignition and combustion.To realize such control, model-based control has attracted much attention, which requires an ignition model with high prediction accuracy a