Comparison of Physics-Based, Semi-Empirical and Neural Network-Based Models for Model-Based Combustion Control in a 3.0 L Diesel Engine

Comparison of Physics-Based, Semi-Empirical and Neural Network-Based Models for Model-Based Combustion Control in a 3.0 L Diesel Engine

A comparison of four different control-oriented models has been carried out in this paper for the simulation of the main combustion metrics in diesel engines, i.e., combustion phasing, peak firing pressure, and brake mean effective pressure. The aim of the investigation has been to understand the po...

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Bibliographic Details
Main Authors: Song Hu, Stefano d’Ambrosio, Roberto Finesso, Andrea Manelli, Mario Rocco Marzano, Antonio Mittica, Loris Ventura, Hechun Wang, Yinyan Wang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
model-based
control
diesel engine
ANN
physics-based model
semi-empirical model
Online Access:https://www.mdpi.com/1996-1073/12/18/3423

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