A diesel engine air path model with a WG and an ETV for exhaust temperature controller design and embedded control

2022 ◽  
pp. 095440702110692
Author(s):  
Michael Thiel ◽  
Bernd Tibken
Keyword(s):  
Diesel Engine ◽  
Real Time ◽  
System Analysis ◽  
Test Bench ◽  
Controller Design ◽  
Optimization Problems ◽  
Electronic Control Unit ◽  
Path Model ◽  
Parameter Determination ◽  
Online Computation

In this paper a mean value model of a turbocharged diesel engine air path with an electric wastegate (WG) and an exhaust throttle valve (ETV) is presented. The model is designed with regard to system analysis, controller design, and real-time feasibility. That means, care is taken to ensure that the model contains the relevant dynamics on the one hand and that the requirements for computing power and memory (RAM) are kept as low as possible on the other hand. New approaches for modeling the ETV and the exhaust gas temperature are presented. The latter is formulated via an artificial neural network (ANN) computed outside the model. The ANN is integrated into the model in such a way that the differentiation of the model still provides meaningful results for controller design. Thus, this model may also be used for online computation of nonlinear model predictive controllers (MPC) or nonlinear state observers. The parameters of the model are determined using GT-Power simulation data covering the entire working range of the engine. Only measured variables that are also accessible on the engine test bench are used. All optimization problems to be solved within the parameter determination are presented. It is analyzed which sensors are suitable to support the model in an implementation on an electronic control unit (ECU), and the effect without and with sensor correction is shown in a dynamic test bench measurement. Furthermore, the properties of the generated C code are presented, which are the number of mathematical operations, the runtimes, and the stack size. An evaluation of the real time capability is given based on eigenvalue analyses and the properties of the C code .

scholarly journals Efficient Real-Time Controller Design Test Bench for Power Converter Applications

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jahangeer Badar ◽  
Faheem Akhtar ◽  
Hafiz Mudassir Munir ◽  
Syed Sabir Hussain Bukhari ◽  
Jong-Suk Ro
Keyword(s):  
Real Time ◽  
Test Bench ◽  
Controller Design ◽  
Power Converter

REAL-TIME NONLINEAR INDIVIDUAL CYLINDER AIR FUEL RATIO OBSERVER ON A DIESEL ENGINE TEST BENCH

2005 ◽  
Vol 38 (1) ◽  
pp. 194-199 ◽  
Author(s):  
Jonathan Chauvin ◽  
Philippe Moulin ◽  
Gilles Corde ◽  
Nicolas Petit ◽  
Pierre Rouchon
Keyword(s):  
Diesel Engine ◽  
Real Time ◽  
Test Bench ◽  
Engine Test ◽  
Engine Test Bench ◽  
Fuel Ratio

scholarly journals An Economical and Precise Cooling Model and Its Application in a Single-Cylinder Diesel Engine

2021 ◽  
Vol 11 (15) ◽  
pp. 6749
Author(s):  
Zhifeng Xie ◽  
Ao Wang ◽  
Zhuoran Liu
Keyword(s):  
Diesel Engine ◽  
Cooling System ◽  
Combustion Engine ◽  
Electronic Control Unit ◽  
Total Power ◽  
Dynamical Characteristic ◽  
Water Jacket ◽  
Single Cylinder ◽  
Pump Speed ◽  
Total Power Consumption

The cooling system is an important subsystem of an internal combustion engine, which plays a vital role in the engine’s dynamical characteristic, the fuel economy, and emission output performance at each speed and load. This paper proposes an economical and precise model for an electric cooling system, including the modeling of engine heat rejection, water jacket temperature, and other parts of the cooling system. This model ensures that the engine operates precisely at the designated temperature and the total power consumption of the cooling system takes the minimum value at some power proportion of fan and pump. Speed maps for the cooling fan and pump at different speeds and loads of engine are predicted, which can be stored in the electronic control unit (ECU). This model was validated on a single-cylinder diesel engine, called the DK32. Furthermore, it was used to tune the temperature of the water jacket precisely. The results show that in the common use case, the electric cooling system can save the power of 255 W in contrast with the mechanical cooling system, which is about 1.9% of the engine’s power output. In addition, the validation results of the DK32 engine meet the non-road mobile machinery China-IV emission standards.

scholarly journals Assessment of an electrical coolant pump on a heavy-duty diesel engine

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Markus Kiesenhofer
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Carbon Dioxide Emissions ◽  
Test Bench ◽  
Engine Test ◽  
The European Union ◽  
Engine Test Bench ◽  
Commercial Vehicles ◽  
Coolant Pump ◽  
Vehicle Class

AbstractHybridization of the drive train in commercial vehicles is a key solution toward meeting the strict future requirements to reduce carbon dioxide emissions within the European Union. In order to decrease fleet consumption a large number of different hybrid systems are already available in series in the passenger car sector. Due to the cheap and powerful 48 volt hybrid components and the lower hazard potential compared to high voltage, future commercial vehicles could also benefit from the 48V technology and contribute to lower fleet fuel consumption. Therefore, a complete 48V mild hybrid system was built on the diesel engine test bench as part of a research project. This paper highlights the utilization of a powerful 48V-motor to propel the coolant pump on a diesel engine of the 13-L commercial vehicle class. Three different drive variants of the coolant pump were implemented and measured on the diesel engine test bench. MATLAB®/Simulink®-simulations were conducted to assess the possible fuel savings in three different driving cycles. This paper provides a summary and interpretation of the measurement and simulation results. The simulation studies predict a decrease of fuel consumption of up to 0.94%. Furthermore, the additional advantages of electrified coolant pumps based on 48V are discussed.

scholarly journals Diagnostics and Prognostics of Energy Conversion Processes via Knowledge-Based Systems

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 1
Author(s):  
Roberto Melli ◽  
Enrico Sciubba
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Real Time ◽  
System Analysis ◽  
Intelligent System ◽  
Time Derivative ◽  
Time History ◽  
Control Procedure ◽  
Time Data ◽  
Ongoing Research

This paper presents a critical and analytical description of an ongoing research program aimed at the implementation of an expert system capable of monitoring, through an Intelligent Health Control procedure, the instantaneous performance of a cogeneration plant. The expert system is implemented in the CLIPS environment and is denominated PROMISA as the acronym for Prognostic Module for Intelligent System Analysis. It generates, in real time and in a form directly useful to the plant manager, information on the existence and severity of faults, forecasts on the future time history of both detected and likely faults, and suggestions on how to control the problem. The expert procedure, working where and if necessary with the support of a process simulator, derives from the available real-time data a list of selected performance indicators for each plant component. For a set of faults, pre-defined with the help of the plant operator (Domain Expert), proper rules are defined in order to establish whether the component is working correctly; in several instances, since one single failure (symptom) can originate from more than one fault (cause), complex sets of rules expressing the combination of multiple indices have been introduced in the knowledge base as well. Creeping faults are detected by analyzing the trend of the variation of an indicator over a pre-assigned interval of time. Whenever the value of this ‘‘discrete time derivative’’ becomes ‘‘high’’ with respect to a specified limit value, a ‘‘latent creeping fault’’ condition is prognosticated. The expert system architecture is based on an object-oriented paradigm. The knowledge base (facts and rules) is clustered—the chunks of knowledge pertain to individual components. A graphic user interface (GUI) allows the user to interrogate PROMISA about its rules, procedures, classes and objects, and about its inference path. The paper also presents the results of some simulation tests.

Experimental Research on Diesel Engine Friction and Wear Based on Ferrographic Analysis

2015 ◽  
Vol 778 ◽  
pp. 195-198 ◽  
Author(s):  
Hai Bing Xiao
Keyword(s):  
Diesel Engine ◽  
Wear Mechanism ◽  
Friction And Wear ◽  
Test Bench ◽  
Particle Morphology ◽  
Wear Particle ◽  
Engine Test Bench ◽  
Experimental Scheme ◽  
Wear Monitoring ◽  
Engine Friction

This paper deals with the study of diesel engine friction and wear. The friction and wear mechanism of diesel engine was studied and the wear factors of diesel engine friction and wear was analyzed. According to the diesel engine test bench, diesel engine experimental scheme of oil testing was designed during running-in stage. Studies have shown that wear particle morphology of diesel engine from ferrographic analysis can reflect the degree of wear and wear mechanism during running-in stage, wear particle changed during running-in stage. Ferrographic monitoring is an effective method for diesel engine friction and wear monitoring.

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