An empirical model for the carbon dioxide emissions of a diesel engine

Pennycott, A, Zhang, Q, Brace, CJ, Burke, RD and Akehurst, S (2012) An empirical model for the carbon dioxide emissions of a diesel engine Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 226 (11). pp. 1507-1513.

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Abstract

Carbon dioxide emissions from vehicles are a particular focus and challenge for automotive designers and manufacturers due to increasingly stringent engine emissions legislation. In addition to the potential environmental impacts, the rate of carbon dioxide production is strongly indicative of the efficiency and therefore fuel economy of an engine at its different operating conditions.In this paper, a neural network model is developed in order to predict the carbon dioxide production rate from a number of engine variables including engine speed, torque, temperature and parameters controlling fuel injection timing. The model structure accurately predicts the rate of carbon dioxide production and has applications in future efficiency and emissions optimisation during engine design and also in online engine control. © 2012 University of Bath.

Item Type:	Article
Authors :	Name Email ORCID Pennycott, A a.pennycott@surrey.ac.uk UNSPECIFIED Zhang, Q UNSPECIFIED UNSPECIFIED Brace, CJ UNSPECIFIED UNSPECIFIED Burke, RD UNSPECIFIED UNSPECIFIED Akehurst, S UNSPECIFIED UNSPECIFIED
Date :	1 November 2012
Identification Number :	https://doi.org/10.1177/0954407012444524
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:47
Last Modified :	17 May 2017 12:47
URI:	http://epubs.surrey.ac.uk/id/eprint/836735

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