RDE cycle simulation by 0D/1D models to investigate IC engine performance and cylinder-out emissions

Marinoni, Andrea; Onorati, Angelo; Montenegro, Gianluca; Sforza, Lorenzo; Cerri, Tarcisio; Olmeda, Pablo; Dreif, Amin

doi:10.1177/14680874221141936

Cited by 5 publications

(1 citation statement)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To provide a complete characterization of such an application, a 1D engine simulation is performed, resorting to a 1D thermo-fluid dynamic model (Gasdyn) capable of simulating the whole engine system with a limited computational time. The code allows one to determine the volumetric efficiency, torque, power, fuel consumption, pollutant emissions, and tailpipe noise on the basis of the operating conditions of the engine [19,20]. The 1D setup is made on a prototype engine for high-performance applications with the aim of comparing a base case with the case in which the POCS is inserted in the exhaust ducts.…”

Section: One-dimensional Performance Simulationmentioning

confidence: 99%

CFD Investigation of an Innovative Additive Manufactured POCS Substrate as Electrical Heated Solution for After-Treatment Systems

et al. 2023

Self Cite

View full text Add to dashboard Cite

In the last decade, additive manufacturing (AM) techniques have been progressively applied to the manufacturing of many mechanical components. Compared to traditional techniques, this technology is characterized by disruptive potential in terms of the complexity of the objects that can be produced. This opens new frontiers in terms of design flexibility, making it possible to create new components with optimized performances in terms of mechanical properties and weight. In this work, the focus is on a specific field of application: the development of novel porous media structures which can be the basis of advanced after-treatment systems for internal combustion engines. In particular, the possibility to design periodic open cellular structures (POCSs) that can be applied as catalytic substrates opens new perspectives in terms of flexibility and integrated functionalities. The present study investigates an innovative solution where the catalytic substrates are located in the pipes of the exhaust manifolds of a high-performance engine. A preliminary characterization of the pressure drop induced by the POCS structure is carried out, with a particular focus on the impact of the backpressure on the engine performances. Moreover, each POCS integrates an electrical circuit which is used to promote the heating of the device, with beneficial effects on the light-off of the catalytic reactions. An advanced CFD model is applied to evaluate the potential of the solution, comparing the pollutant conversion with that of the baseline configuration equipped with a standard after-treatment system solution.

show abstract

Section: One-dimensional Performance Simulationmentioning

confidence: 99%

CFD Investigation of an Innovative Additive Manufactured POCS Substrate as Electrical Heated Solution for After-Treatment Systems

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

Learning-Based Frameworks for Minimizing Pollutant Emissions in Hybrid Electric Vehicles for Dynamic Driving Conditions

Sundaram,

Gehra,

Heubaum

et al. 2023

2023 IEEE Vehicle Power and Propulsion Conference (VPPC)

View full text Add to dashboard Cite

Transient NOx emission modeling of a hydrogen-diesel engine using hybrid machine learning methods

Shahpouri,

Gordon,

Shahbakhti

et al. 2024

International Journal of Engine Research

View full text Add to dashboard Cite

One promising approach to reduce carbon foot print of internal combustion engines (ICEs) is using alternative fuels like hydrogen, particularly by converting medium and heavy-duty diesel engines to dual-fuel hydrogen-diesel engines. To minimize elevated NOx emissions from hydrogen-fueled engine, fast and accurate emission models are essential for engine model-based control and for engine calibration and optimization using hardware-in-the-loop (HIL) setups. In this study, a fast-response NOx emissions sensor is used to measure the transient NOx emissions from a dual-fuel hydrogen-diesel engine. Subsequently, steady-state models (SSMs), quasi steady-state models (QSSMs), and transient sequential models (TSMs) in the form of black-box (BB) and gray-box (GB) models are developed for transient NOx emissions prediction. GB models utilize both information from a one dimensional (1D) physical engine model and experimental data for training, while BB models only use experimental data. SSMs are optimized artificial neural networks (ANNs) trained using steady-state data, QSSMs are optimized ANNs trained using transient data, and TSMs are time-series networks trained using transient data. Long short-term memory (LSTM) and gated recurrent unit (GRU) networks are used as the time-series deep learning networks. The results showed that the 1D physical model has the poorest performance with successive model performance improvement from SSM to QSSM and from QSSM to TSM. The developed BB TSM model in this study can predict transient NOx emissions with an R2 value greater than 0.96 at 89,000 predictions per second which makes this model suitable for real-time engine model-based control where computational efficiency is crucial. The developed GB TSM model can predict transient NOx emissions with an R2 value greater than 0.97 but it is computationally more expensive. The extra accuracy of the GB TSM models makes them the best choice for HIL setups where more computational power is available, and accuracy is more crucial.

show abstract

RDE cycle simulation by 0D/1D models to investigate IC engine performance and cylinder-out emissions

Cited by 5 publications

References 45 publications

CFD Investigation of an Innovative Additive Manufactured POCS Substrate as Electrical Heated Solution for After-Treatment Systems

CFD Investigation of an Innovative Additive Manufactured POCS Substrate as Electrical Heated Solution for After-Treatment Systems

Learning-Based Frameworks for Minimizing Pollutant Emissions in Hybrid Electric Vehicles for Dynamic Driving Conditions

Transient NOx emission modeling of a hydrogen-diesel engine using hybrid machine learning methods

Contact Info

Product

Resources

About