Development of Real-Time Engine Control Using the In-Cylinder Pressure Signal in a Diesel Engine for Passenger Vehicle

2013 ◽  
Author(s):  
Seungeun Yu ◽  
Kyoungchan Han ◽  
Kihoon Nam ◽  
Dae Choi ◽  
Jun Yu
Keyword(s):  
Diesel Engine ◽  
Real Time ◽  
Engine Control ◽  
Cylinder Pressure ◽  
Passenger Vehicle ◽  
Pressure Signal

Real-time IMEP Estimation for Torque-based Engine Control using an In-cylinder Pressure Sensor

2009 ◽  
Author(s):  
Seungsuk Oh ◽  
Daekyung Kim ◽  
Junsoo Kim ◽  
Byounggul Oh ◽  
Kangyoon Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Engine Control ◽  
Cylinder Pressure

A graphic pattern feature-mapping-based data-driven condition monitoring method for diesel engine malfunction identification and classification

2018 ◽  
Vol 233 (1) ◽  
pp. 202-212 ◽  
Author(s):  
Yiqing Li ◽  
Wen Zhou ◽  
Yanyang Zi
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Data Driven ◽  
Injection System ◽  
Cylinder Pressure ◽  
Feature Mapping ◽  
Monitoring Method ◽  
Large Power ◽  
Pressure Signal ◽  
Graphic Pattern

Effective condition monitoring of diesel engine can ensure the reliability of large-power machines and prevent catastrophic consequences. Cylinder pressure is capable of reflecting the whole combustion process of diesel engine, and hence can help to identify the malfunctions of the diesel engine during operation. In this paper, a graphic pattern feature-mapping method is proposed for graphic pattern feature recognition in data-driven condition monitoring. The graphic feature extraction and recognition are linked by labeled feature-mapping. It is used for identifying the running condition of the diesel engine via analyzing the cylinder pressure signal of the diesel engine. The different types of the malfunctions which are caused by different parts of the diesel engine such as induction system, valve actuating mechanism, fuel system, fuel injection system, etc. can be identified just by cylinder pressure signal. The bench experiment of a large-power diesel engine is performed to validate this graphic pattern recognition method. The results show that it has good accuracy on multi-malfunction identification and classification when the engine operates at one speed and one load.

A Model-Based Methodology for Real-Time Estimation of Diesel Engine Cylinder Pressure

2011 ◽  
Vol 133 (3) ◽  
Author(s):  
Ahmed Al-Durra ◽  
Marcello Canova ◽  
Stephen Yurkovich
Keyword(s):  
Signal Processing ◽  
Diesel Engine ◽  
Real Time ◽  
Closed Loop ◽  
Operating Conditions ◽  
Recursive Least Squares ◽  
Cylinder Pressure ◽  
Combustion Control ◽  
Model Based ◽  
Crank Angle

Cylinder pressure is one of the most important parameters characterizing the combustion process in an internal combustion engine. The recent developments in engine control technologies suggest the use of cylinder pressure as a feedback signal for closed-loop combustion control. However, the sensors measuring in-cylinder pressure are typically subject to noise and offset issues, requiring signal processing methods to be applied to obtain a sufficiently accurate pressure trace. The signal conditioning implies a considerable computational burden, which ultimately limits the use of cylinder pressure sensing to laboratory testing, where the signal can be processed off-line. In order to enable closed-loop combustion control through cylinder pressure feedback, a real-time algorithm that extracts the pressure signal from the in-cylinder sensor is proposed in this study. The algorithm is based on a crank-angle based engine combustion of that predicts the in-cylinder pressure from the definition of a burn rate function. The model is then adapted to model-based estimation by applying an extended Kalman filter in conjunction with a recursive least-squares estimation scheme. The estimator is tested on a high-fidelity diesel engine simulator as well as on experimental data obtained at various operating conditions. The results obtained show the effectiveness of the estimator in reconstructing the cylinder pressure on a crank-angle basis and in rejecting measurement noise and modeling errors. Furthermore, a comparative study with a conventional signal processing method shows the advantage of using the derived estimator, especially in the presence of high signal noise (as frequently happens with low-cost sensors).

Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability

2017 ◽  
Vol 194 ◽  
pp. 55-70 ◽  
Author(s):  
Yuanyuan Tang ◽  
Jundong Zhang ◽  
Huibing Gan ◽  
Baozhu Jia ◽  
Yu Xia
Keyword(s):  
Diesel Engine ◽  
Real Time ◽  
Marine Diesel Engine ◽  
Cylinder Pressure ◽  
Engine Model ◽  
Marine Diesel ◽  
Prediction Capability
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