Legislations for greenhouse gas and pollutant emissions from light-duty vehicles are
pushing the spark ignition engine to be cleaner and more efficient. As one of the promising …

To adequately elucidate the complex in-cylinder flow structures and its underlying effects on
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …

In the present study, a new combination of different available engine sensors along with an
exhaust gas temperature sensor is used as the input of an artificial neural network to …

This study presents a novel method based on the convolutional neural network to evaluate
knock probability. In this way, lots of data sets are extracted from the real driving conditions …

In the wake of previous works, the authors propose a new approach for the identification and
evolution of the flame front in an optical SI engine. Currently, it is an essential prerogative to …

To carry out increasingly sophisticated checks, which comply with international regulations
and stringent constraints, on-board computational systems are called upon to manipulate a …

Knock detection is critical to engine control as it prevents damage and ensures optimal
performance. However, it still presents significant challenges, particularly in alternative …

Currently, machine learning (ML) technologies are widely employed in the automotive field
for determining physical quantities thanks to their ability to ensure lower computational costs …

Abstract Machine learning (ML) techniques are increasingly spreading in the automotive
area. The advantage of using data-based algorithms is evidenced in the study of complex …

The design of internal combustion engine prechambers requires the consideration of a wide
range of parameters. Especially in large gas engines, the design of the prechamber has a …