Development and Validation of a Mean Value Engine Model for Integrated Engine and Control System Simulation

Author(s):  
Yongsheng He ◽  
Chan-Chiao Lin
2014 ◽  
Vol 54 (3) ◽  
pp. 240-247 ◽  
Author(s):  
Wojnar Sławomir ◽  
Boris Rohal-Ilkiv ◽  
Peter Šimončic ◽  
Marek Honek ◽  
Csambál Jozef

The aim of this paper is to present a simple model of the intake manifold dynamics of a spark ignition (SI) engine and its possible application for estimation and control purposes. We focus on pressure dynamics, which may be regarded as the foundation for estimating future states and for designing model predictive control strategies suitable for maintaining the desired air fuel ratio (AFR). The flow rate measured at the inlet of the intake manifold and the in-cylinder flow estimation are considered as parts of the proposed model. In-cylinder flow estimation is crucial for engine control, where an accurate amount of aspired air forms the basis for computing the manipulated variables. The solutions presented here are based on the mean value engine model (MVEM) approach, using the speed-density method. The proposed in-cylinder flow estimation method is compared to measured values in an experimental setting, while one-step-ahead prediction is illustrated using simulation results.


Author(s):  
Byungho Lee ◽  
Yann Guezennec ◽  
Giorgio Rizzoni ◽  
Doug Trombley

Due to the increasing demands on improved fuel economy and stringent government regulations on tailpipe emissions, many automotive industries and research institutes have been looking for alternative solutions, such as diesel engines, hybrid-electric vehicles, and fuel cell technologies, over conventional port fuel injection (PFI) gasoline engines to meet the demands. On the other hand, many people in the automotive community also realize that there are still a lot of room for improvements in gasoline engine technologies, such as utilizing direct injection and/or variable valve actuation. In order to fully realize the potential benefits of such advanced technologies in gasoline engines, a well-coordinated complex control system design is essential. This paper describes the development and validation of a control-oriented mean-value model for a spark-ignition direct-injection (SIDI) engine to assist and accelerate such coordinated control system design and calibration processes via use of an engine model. The performance and accuracy of the dynamic engine model are evaluated and validated against a set of data for an engine running on a transient driving cycle.


2010 ◽  
Vol 20-23 ◽  
pp. 599-604
Author(s):  
Chen Xi Gou ◽  
Bai Gen Cai ◽  
Tao Tang ◽  
Shang Guan Wei

Reliability of CTCS-3 train operation and control system is necessary to ensure train running safely and efficiently. Thus, train control system simulation should be used for lots of tests and validations. This paper is focus on the theory and period of fault injection systematically. According to characters of simulation of train control system and advantages of fault injection, application of fault injection in the field of train control system simulation is proposed for reliability test and to obtain system information after fault injection. Main structure and detailed functions, structures of fault injection system is designed and realized. This system could simulate system fault to cause rapid failure in train control system during the experiment. By analyzing the simulation result, the conclusion could be obtained that application of fault injection could help to improve reliability and fault tolerance of C3 simulation.


2015 ◽  
Vol 713-715 ◽  
pp. 734-738
Author(s):  
Cong Guan ◽  
Hui Chen ◽  
Hai Bo Gao

In this paper, a cycle mean value engine model was built, and the ship propulsion system model was developed by combining the engine model with propeller and ship model following a modular approach in MATLAB/Simulink environment. In addition, the fuzzy PID control theory was investigated and applied in the ship speed intelligent control system under different disturbance circumstances with emphasis at slow steaming condition. Finally, the simulation results indicate that the fuzzy PID controller can improve the dynamic performance of the ship speed control system, decrease oscillation as well as increase response speed.


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