Combustion simulation of turbocharger HSDI Diesel engines during transient operation using neural networks

被引：48

作者：

Galindo, J ^{[1
]}

Luján, JM ^{[1
]}

Serrano, JR ^{[1
]}

Hernández, L ^{[1
]}

机构：

[1] Univ Politecn Valencia, CMT Motores Term, Valencia 46022, Spain

来源：

APPLIED THERMAL ENGINEERING | 2005年 / 25卷 / 5-6期

关键词：

combustion characterisation; neural network simulation; reciprocating internal combustion engines; diesel engines transient behaviour;

D O I：

10.1016/j.applthermaleng.2004.08.004

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The purpose of this investigation is to develop a procedure to simulate, with a fast and simple empirical model, the rate of combustion in Diesel engines during transient operation, with the further goal of including this simulation in a given one-dimensional gas dynamic model for global transient behaviour prediction. Due to the nature of transient phenomena, this simulation has to be performed for a wide range of engine conditions and that is why the route followed in this study was to apply the self-adjusting capability of neural networks (NN) to relate engine operating conditions with the parameters of combustion heat release laws. Finally, for a given turbocharged Diesel engine, the rates of heat release obtained with the NN methodology have been compared to the rates obtained experimentally, the temporal evolution of some combustion parameters have been analysed and the influence of NN combustion simulation in global transient modelling has been presented. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：877 / 898

页数：22

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