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) …
Model predictive control of internal combustion engines: A review and future directions
An internal combustion engine (ICE) is a highly nonlinear dynamic and complex
engineering system whose operation is constrained by operational limits, including …
engineering system whose operation is constrained by operational limits, including …
Deep learning based model predictive control for compression ignition engines
Abstract Machine learning (ML) and a nonlinear model predictive controller (NMPC) are
used in this paper to minimize the emissions and fuel consumption of a compression ignition …
used in this paper to minimize the emissions and fuel consumption of a compression ignition …
End-to-end deep neural network based nonlinear model predictive control: experimental implementation on diesel engine emission control
In this paper, a deep neural network (DNN)-based nonlinear model predictive controller
(NMPC) is demonstrated using real-time experimental implementation. First, the emissions …
(NMPC) is demonstrated using real-time experimental implementation. First, the emissions …
Low Temperature Combustion Modeling and Predictive Control of Marine Engines
A Modabberian, X Storm, AM Shamekhi, A Vasudev… - Applied Sciences, 2024 - mdpi.com
The increase of popularity of reactivity-controlled compression ignition (RCCI) is attributed to
its capability of achieving ultra-low nitrogen oxides (NO x) and soot emissions with high …
its capability of achieving ultra-low nitrogen oxides (NO x) and soot emissions with high …
Cylinder Pressure Feedback Control for Ideal Thermodynamic Cycle Tracking: Towards Self-learning Engines
M Vlaswinkel, F Willems - IFAC-PapersOnLine, 2023 - Elsevier
To meet increasingly strict future greenhouse gas and pollutant emission targets,
development time and costs of heavy-duty internal combustion engines will reach …
development time and costs of heavy-duty internal combustion engines will reach …
Towards real-time combustion phase estimation for linear RCCI model-predictive control design
A Modabberian, X Storm, A Vasudev, K Zenger… - IFAC-PapersOnLine, 2023 - Elsevier
Reactivity controlled compression ignition (RCCI) technology has gained in popularity due
to its ability to achieve low level NO x and soot emissions with relatively high brake thermal …
to its ability to achieve low level NO x and soot emissions with relatively high brake thermal …
CFD-based Data-driven Modeling of Reactivity and Stratification Dynamics for RCCI Engine Control
Abstract Reactivity Controlled Compression Ignition (RCCI) is a Low-Temperature
Combustion (LTC) regime that provides thermal efficiency and emissions benefits compared …
Combustion (LTC) regime that provides thermal efficiency and emissions benefits compared …
[PDF][PDF] Integration of Deep Learning and Nonlinear Model Predictive Control in Emission reduction of Compression Ignition Combustion Engines: A Simulative Study
Abstract Machine learning (ML) and nonlinear model predictive control (NMPC) are used in
this paper to minimize the emissions and fuel consumption of a compression ignition engine …
this paper to minimize the emissions and fuel consumption of a compression ignition engine …
A Generalized Additive Modeling Framework Approach for RCCI Combustion Phasing Prediction
KL Ankobea-Ansah, CM Hall - Internal …, 2024 - asmedigitalcollection.asme.org
Abstract Reactivity Controlled Compression Ignition (RCCI) represents a promising
combustion strategy in internal combustion (IC) engines, offering high efficiency alongside …
combustion strategy in internal combustion (IC) engines, offering high efficiency alongside …