Torque balance control for light-duty diesel engines using an individual cylinder IMEP estimation model with a single cylinder pressure sensor

2016 ◽  
Vol 109 ◽  
pp. 440-448 ◽  
Author(s):  
Kyunghan Min ◽  
Jaesung Chung ◽  
Myoungho Sunwoo
Keyword(s):  
Pressure Sensor ◽  
Diesel Engines ◽  
Balance Control ◽  
Cylinder Pressure ◽  
Estimation Model ◽  
Single Cylinder ◽  
Light Duty

Real-time NOx estimation in light duty diesel engine with in-cylinder pressure prediction

2021 ◽  
pp. 146808742110157
Author(s):  
Youngbok Lee ◽  
Seungha Lee ◽  
Kyoungdoug Min
Keyword(s):  
Prediction Model ◽  
Real Time ◽  
Pressure Sensor ◽  
Design Stage ◽  
Lean Nox Trap ◽  
Nox Emissions ◽  
Cylinder Pressure ◽  
Estimation Model ◽  
Light Duty ◽  
Light Duty Vehicle

Recently, there have been numerous efforts to cope with automotive emission regulations. Various strategies to reduce engine-out NOx emissions and proper after-treatment systems, such as selective catalytic reduction (SCR) and lean NOx trap (LNT), have been taken into account in the engine research field. In this study, real-time engine-out NOx prediction model was established where zero-dimensional NO and NO2 models were combined with in-cylinder pressure model. During the procedure for estimating NO and NO2 (NOx), a real-time prediction model of in-cylinder pressure was applied so that the inputs to the NOx prediction model could be provided only by the data acquired from the engine control unit (ECU). This implies that an in-cylinder pressure sensor is not necessarily required to properly predict the engine-out NOx in real time. The real-time NOx estimation model was validated through the worldwide harmonized light-duty vehicle test cycle (WLTC) without a pressure sensor, and the total NOx error during the mode was comparable with the total NOx error of the portable NOx sensor. This real-time NOx estimation model can ultimately contribute to minimizing tail-pipe NOx emissions by influencing both emission calibration at the engine design stage and the management of NOx after-treatment systems where NOx conversion efficiency is heavily affected by the NO2/NO ratio.

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.

Prediction of In-Cylinder Pressure for Light-Duty Diesel Engines

2019 ◽  
Author(s):  
Youngbok Lee ◽  
Seungha Lee ◽  
Kyoungchan Han ◽  
Kyoungdoug Min
Keyword(s):  
Diesel Engines ◽  
Cylinder Pressure ◽  
Light Duty

Study on Ignition Timing Control for Diesel Engines Using In-Cylinder Pressure Sensor

2006 ◽  
Author(s):  
Mamoru Hasegawa ◽  
Yuichi Shimasaki ◽  
Satoshi Yamaguchi ◽  
Makoto Kobayashi ◽  
Hideki Sakamoto ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Diesel Engines ◽  
Cylinder Pressure ◽  
Ignition Timing ◽  
Timing Control

Robust cylinder pressure estimation in heavy-duty diesel engines

2017 ◽  
Vol 19 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Serkan Kulah ◽  
Alexandru Forrai ◽  
Frank Rentmeester ◽  
Tijs Donkers ◽  
Frank Willems
Keyword(s):  
Steady State ◽  
Pressure Sensor ◽  
Operating Conditions ◽  
Added Value ◽  
Cylinder Pressure ◽  
Heavy Duty ◽  
Adaptation Algorithm ◽  
Single Cylinder ◽  
Crank Angle ◽  
Heavy Duty Diesel

The robustness of a new single-cylinder pressure sensor concept is experimentally demonstrated on a six-cylinder heavy-duty diesel engine. Using a single-cylinder pressure sensor and a crank angle sensor, this single-cylinder pressure sensor concept estimates the in-cylinder pressure traces in the remaining cylinders by applying a real-time, flexible crankshaft model combined with an adaptation algorithm. The single-cylinder pressure sensor concept is implemented on CPU/field-programmable gate array–based hardware. For steady-state engine operating conditions, the added value of the adaptation algorithm is demonstrated for cases in which a fuel quantity change or start of injection change is applied in a single, non-instrumented cylinder. It is shown that for steady-state and transient engine conditions, the cylinder pressure traces and corresponding combustion parameters, indicated mean effective pressure, peak cylinder pressure, and crank angle at 50% heat release, can be estimated with 1.2 bar, 6.0 bar, and 1.1 CAD inaccuracy, respectively.

Modeling and validation of crankshaft speed fluctuations of a single-cylinder four-stroke diesel engine

2021 ◽  
pp. 095440702110262
Author(s):  
Mustafa Babagiray ◽  
Hamit Solmaz ◽  
Duygu İpci ◽  
Fatih Aksoy
Keyword(s):  
Diesel Engine ◽  
Dynamic Model ◽  
Moment Of Inertia ◽  
Mass Motion ◽  
Cylinder Pressure ◽  
Motion Equations ◽  
Single Cylinder ◽  
Mass Moment ◽  
Mass Moment Of Inertia ◽  
Speed Fluctuations

In this study, a dynamic model of a single-cylinder four-stroke diesel engine has been created, and the crankshaft speed fluctuations have been simulated and validated. The dynamic model of the engine consists of the motion equations of the piston, conrod, and crankshaft. Conrod motion was modeled by two translational and one angular motion equations, by considering the kinetic energy resulted from the mass moment of inertia and conrod mass. Motion equations involve in-cylinder gas pressure forces, hydrodynamic and dry friction, mass inertia moments of moving parts, starter moment, and external load moment. The In-cylinder pressure profile used in the model was obtained experimentally to increase the accuracy of the model. Pressure profiles were expressed mathematically using the Fourier series. The motion equations were solved by using the Taylor series method. The solution of the mathematical model was performed by coding in the MATLAB interface. Cyclic speed fluctuations obtained from the model were compared with experimental results and found compitable. A validated model was used to analyze the effects of in-cylinder pressure, mass moment of inertia of crankshaft and connecting rod, friction, and piston mass. In experiments for 1500, 1800, 2400, and 2700 rpm engine speeds, crankshaft speed fluctuations were observed as 12.84%, 8.04%, 5.02%, and 4.44%, respectively. In simulations performed for the same speeds, crankshaft speed fluctuations were calculated as 10.45%, 7.56%, 4.49%, and 3.65%. Besides, it was observed that the speed fluctuations decreased as the average crankshaft speed value increased. In the simulation for 157.07, 188.49, 219.91, 251.32, and 282.74 rad/s crankshaft speeds, crankshaft speed fluctuations occurred at rates of 10.45%, 7.56%, 5.84%, 4.49%, and 3.65%, respectively. The effective engine power was achieved as 5.25 kW at an average crankshaft angular speed of 219.91 rad/s. The power of friction loss in the engine was determined as 0.68 kW.

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