Prediction of real-time NO based on the in-cylinder pressure in Diesel engines

2013 ◽  
Vol 34 (2) ◽  
pp. 3075-3082 ◽  
Author(s):  
Wonah Park ◽  
Junyong Lee ◽  
Kyoungdoug Min ◽  
Jun Yu ◽  
Seungil Park ◽  
...  
Keyword(s):  
Real Time ◽  
Diesel Engines ◽  
Cylinder Pressure

In-cylinder pressure sensor–based NOx model for real-time application in diesel engines

2017 ◽  
Vol 19 (3) ◽  
pp. 293-307 ◽  
Author(s):  
Hoon Cho ◽  
Brien Fulton ◽  
Devesh Upadhyay ◽  
Thomas Brewbaker ◽  
Michiel van Nieuwstadt
Keyword(s):  
Real Time ◽  
Diesel Engines ◽  
Pressure Measurements ◽  
Cylinder Pressure ◽  
Performance Bounds ◽  
Dimensional Model ◽  
Heavy Duty ◽  
Light Duty ◽  
Proposed Model ◽  
Real Time Application

A real-time implementable, zero-dimensional model for predicting engine-out emissions of nitrogen oxides using in-cylinder pressure measurements is developed. The model is an extension of existing works in open literature that align well with the objectives of real-time implementation. The proposed model uses a simplified Zeldovich NOx mechanism that uses combustion-related parameters derived from simplified thermodynamic and combustion sub-models. The performance of the model is discussed for both a heavy-duty and a light-duty diesel engines. The model behavior is evaluated under input uncertainty so as to provide realistic performance bounds.

Real-Time Combustion Phase Detection Using Central Normalized Difference Pressure in CRDI Diesel Engines

2012 ◽  
Vol 134 (8) ◽  
Author(s):  
Jongsuk Lim ◽  
Seungsuk Oh ◽  
Jeasung Chung ◽  
Myoungho Sunwoo
Keyword(s):  
Real Time ◽  
Diesel Engines ◽  
Fuel Efficiency ◽  
Operating Conditions ◽  
Boost Pressure ◽  
Cylinder Pressure ◽  
Phase Detection ◽  
Pressure Data ◽  
Maximum Value ◽  
Combustion Phase

To develop eco-friendly diesel engines, accurate combustion phase control is important due to its significant effects on harmful emissions and fuel efficiency. In order to accurately control the combustion phase, the detection of the combustion phase should precede control system design. Currently, combustion phase detection is done by the location of 50% mass fraction burned (MFB50), because of its close correlation with emissions and fuel efficiency. However, this method is not easily implemented in real-time applications because the calculation of MFB50 requires a large amount of in-cylinder pressure data and an excessive computational load. For this reason, a combustion phase indicator with a simple algorithm is required for real-time combustion control. In this study, we propose a new combustion phase indicator, called the “Central normalized difference pressures (CNDP).” The CNDP indicates the center of the two crank angles where the normalized difference pressure between firing pressure and motoring pressure (NDP) reaches 90% of the maximum value before peak (NDPbp90), and 70% of the maximum value after peak (NDPap70). The NDPbp90 and NDPap70 are highly correlated with MFB50 and the correlation is enhanced as the center between the two points obtained. The CNDP is represented by a fixed quadratic polynomial with MFB50 that robust to changes in various engine operating conditions such as engine speed, main injection timing, injected fuel quantity, fuel-rail pressure, exhaust gas recirculation (EGR) rate and boost pressure. Furthermore, in performance evaluation, the CNDP requires remarkably fewer in-cylinder pressure data samples, calculation steps and less computation time compared to MFB50. These results show great potential for the CNDP to be a substitute for the MFB50 since the proposed combustion phase detection algorithm can be used effectively for real-time combustion phase detection and control.

Real-Time Diagnosis of the Exhaust Recirculation in Diesel Engines Using Least-Squares Parameter Estimation

2009 ◽  
Vol 132 (1) ◽  
Author(s):  
Javad Mohammadpour ◽  
Karolos Grigoriadis ◽  
Matthew Franchek ◽  
Benjamin J. Zwissler
Keyword(s):  
Diesel Engine ◽  
Least Squares ◽  
Real Time ◽  
Diesel Engines ◽  
Least Squares Method ◽  
Recursive Least Squares ◽  
Low Flow ◽  
Robust Version ◽  
Orifice Flow ◽  
Gas Recirculation

In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck.

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