A new methodology for uncertainties characterization in combustion diagnosis and thermodynamic modelling

被引：65

作者：

Benajes, Jesus ^{[1
]}

Olmeda, Pablo ^{[1
]}

Martin, Jaime ^{[1
]}

Carreno, Ricardo ^{[1
]}

机构：

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

来源：

APPLIED THERMAL ENGINEERING | 2014年 / 71卷 / 01期

关键词：

Combustion diagnosis; Thermodynamic modelling; Heat transfer; Pressure modelling; Heat release; Uncertainties adjustment; DIESEL-ENGINES COMBUSTION; HEAT-TRANSFER; PART; CYLINDER; SIMULATION; INJECTION; EMISSIONS; GASOLINE; LOAD;

D O I：

10.1016/j.applthermaleng.2014.07.010

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Combustion diagnosis based on in-cylinder pressure signals as well as 0D thermodynamic modelling, are widely used to study and optimize the combustion in reciprocating engines. Both approaches share some uncertainties regarding the sub-models and the experimental installation that, for the sake of accuracy, must be reduced as much as possible in order to obtain reliable results. A methodology, based on the sensitivity effect of such uncertainties on heat release and simulated pressure, is proposed to adjust their values. The methodology is capable of identifying the separate influence of each parameter and to provide a set of values thanks to the Multi-Variable linear regression (MLR) in motoring conditions. The method is flexible enough to deal with different number of uncertainties and can be applied to different engines and thermodynamic models. The final results of the adjustment are validated in combustion conditions, showing an improvement of the apparent combustion efficiency of about 7% with respect to the reference values. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：389 / 399

页数：11

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