The development of advanced model-based engine control strategies, such as economic model predictive control (eMPC) for diesel engine fuel economy and emission optimization, requires accurate and low-complexity models for controller design validation. This paper presents the NOx and smoke emissions modeling of a light duty diesel engine equipped with a variable geometry turbocharger (VGT) and a high pressure exhaust gas recirculation (EGR) system. Such emission models can be integrated with an existing air path model into a complete engine mean value model (MVM), which can predict engine behavior at different operating conditions for controller design and validation before physical engine tests. The NOx and smoke emission models adopt an artificial neural network (ANN) approach with Multi-Layer Perceptron (MLP) architectures. The networks are trained and validated using experimental data collected from engine bench tests. Model inputs (including input delays) are selected based on physics-based analyses supplemented with data-driven cross-covariance studies. Special care is taken during the training process to avoid overfitting and ensure strong generalization performance. Various neural network architectures, including static networks, dynamic networks, and classifiers, are compared in terms of model complexity and accuracy. Simulation results indicate that MLP networks are capable of capturing the highly nonlinear engine NOx and smoke emissions at both steady state and transient conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Emissions Modeling of a Light-Duty Diesel Engine for Model-Based Control Design Using Multi-Layer Perceptron Neural Networks


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX™ 17: SAE World Congress Experience ; 2017



    Publication date :

    2017-03-28




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Light-Duty Diesel Engine Development Status and Engine Needs Part 3:Diesel exhaust emissions control technology

    Aerospace Corp.,East.Tech.Div.,El Segundo,US / DOE US Dep.of.Energ.,Automot.Technol.Dev.Div.,US | Automotive engineering | 1980


    Heavy-Duty Diesel Truck Emissions Modeling

    Abdelmegeed, Mohamed A. Elbadawy / Rakha, Hesham | Transportation Research Record | 2017


    Diesel Exhaust Emissions Control for Light Duty Vehicles

    Stroia, B. J. / Li, J. / Anderson, J. A. et al. | SAE Technical Papers | 2003


    Diesel exhaust emissions control for light duty vehicles

    Mital,R. / Li,J. / Huang,C. et al. | Automotive engineering | 2003


    Diesel Engine Exhaust Emissions Modelling Using Artificial Neural Networks

    Rachid, A. / Ouladsine, M. / Ouenou Gamo, S. | SAE Technical Papers | 1999