Abstract Engine tests are both costly and time consuming in developing a new internal combustion engine. Therefore, it is of great importance to predict engine characteristics with high accuracy using artificial intelligence. Thus, possible reduce testing costs speed up the development process. Deep Learning an effective intelligence method that shows performance many research areas through its...

In the context of modern engine control, one important variable is the individual Air Fuel Ratio (AFR) which is a good representation of the produced torque. It results from various inputs such as injected quantities, boost pressure, and the exhaust gas recirculation (EGR) rate. Further, for forthcoming HCCI engines and regeneration filters (Particulate filters, DeNOx), even slight AFR unbalanc...

High-speed Chemical Species Tomography (CST) using near-IR absorption has recently been demonstrated in a multi-cylinder gasoline SI engine running on retail fuel. Many of the inherent advantages of the CST technique would be even more marked in CI engines, for example in HCCI engines where mixture preparation involves residual species, and in diesel engines where gross inhomogeneities over lar...

Modeling engines using physics-based approaches is a traditional and widely-accepted method for predicting in-cylinder pressure the start of combustion (SOC). However, developing such intricate models typically demands significant effort, time, knowledge about underlying physical processes. In contrast, machine learning techniques have demonstrated their potential building that are not only rap...