Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
A review of the pre-chamber ignition system applied on future low-carbon spark ignition engines
S Zhu, S Akehurst, A Lewis, H Yuan - Renewable and Sustainable Energy …, 2022 - Elsevier
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 …
pushing the spark ignition engine to be cleaner and more efficient. As one of the promising …
[HTML][HTML] Machine learning for combustion
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …
chemical phenomena in time and length scales, including complex chemical reactions and …
Development of knock prediction technique in dual fuel engines and its mitigation with direct water injection
In the face of increasing emission restrictions and the parsimony of conventional fuels, dual
fuel engine is presented as a promising solution that is satisfactory for environmental and …
fuel engine is presented as a promising solution that is satisfactory for environmental and …
Influence of the wall temperatures of the combustion chamber and intake ports on the charge temperature and knock characteristics in a spark-ignited engine
Reducing wall temperatures is a promising method to suppress knocking behavior in spark-
ignited engine. However, this may increase undesirable heat loss which acts as …
ignited engine. However, this may increase undesirable heat loss which acts as …
Knock detection in combustion engine time series using a theory-guided 1-D convolutional neural network approach
This article introduces a method for the detection of knock occurrences in an internal
combustion engine (ICE) using a 1-D convolutional neural network trained on in-cylinder …
combustion engine (ICE) using a 1-D convolutional neural network trained on in-cylinder …
Knock detection in spark ignited heavy duty engines: An application of machine learning techniques with various knock sensor locations
Knock detection is critical to engine control as it prevents damage and ensures optimal
performance. However, it still presents significant challenges, particularly in alternative …
performance. However, it still presents significant challenges, particularly in alternative …
Detection of knocking combustion using the continuous wavelet transformation and a convolutional neural network
The phenomenon of knock is an abnormal combustion occurring in spark-ignition (SI)
engines and forms a barrier that prevents an increase in thermal efficiency while …
engines and forms a barrier that prevents an increase in thermal efficiency while …
Development of a tool for the preliminary design of large engine prechambers using machine learning approaches
S Posch, H Winter, J Zelenka, G Pirker… - Applied Thermal …, 2021 - Elsevier
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 …
range of parameters. Especially in large gas engines, the design of the prechamber has a …
Deep learning for knock occurrence prediction in SI engines
H Tajima, T Tomidokoro, T Yokomori - Energies, 2022 - mdpi.com
This research aims to predict knock occurrences by deep learning using in-cylinder pressure
history from experiments and to elucidate the period in pressure history that is most …
history from experiments and to elucidate the period in pressure history that is most …