Smart rule-based diesel engine control strategies by means of predictive driving information

2019 ◽  
Vol 20 (10) ◽  
pp. 1047-1058 ◽  
Author(s):  
Giovanni Vagnoni ◽  
Markus Eisenbarth ◽  
Jakob Andert ◽  
Giuseppe Sammito ◽  
Joschka Schaub ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Control Strategies ◽  
Control Unit ◽  
Future Research ◽  
Engine Control ◽  
Test Cycle ◽  
Rule Based ◽  
Prediction Horizon ◽  
Light Duty ◽  
Path Control

The increasing connectivity of future vehicles allows the prediction of the powertrain operational profiles. This technology will improve the transient control of the engine and its exhaust gas aftertreatment systems. This article describes the development of a rule-based algorithm for the air path control, which uses the knowledge of upcoming driving events to reduce especially [Formula: see text] and particulate (soot) emissions. In the first section of this article, the boosting and the lean [Formula: see text] trap systems of a diesel powertrain are investigated as relevant sub-systems for shorter prediction horizons, suitable for Car-to-X communication range. Reference control strategies, based on state-of-the-art engine control unit algorithms and suitable predictive control logics, are compared for the two sub-systems in a model in the loop simulation environment. The simulation driving cycles are based on Worldwide harmonized Light-duty Test Cycle and Real Driving Emissions regulations. Due to the shorter, and consequently more probable, prediction horizon and the demonstrated emission improvements, a dedicated rule-based algorithm for the air path control is developed and benchmarked in the Worldwide harmonized Light-duty Test Cycle as described in the second part of this article. Worldwide harmonized Light-duty Test Cycle test results show an improvement potential for engine-out soot and [Formula: see text] emissions of up to 5.2% and 1.2%, respectively, for the air path case and a reduction of the average fuel consumption in Real Driving Emissions of up to 1% for the lean NOx trap case. In addition, the developed rule-based algorithm allows the adjustment of the desired NOx–soot trade-off, while keeping the fuel consumption constant. The study concludes with brief recommendations for future research directions, as for example, the introduction of a prediction module for the estimation of the vehicle operational profile in the prediction horizon.

scholarly journals Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty Vehicles

2022 ◽  
Vol 12 (2) ◽  
pp. 803
Author(s):  
Ngo Le Huy Hien ◽  
Ah-Lian Kor
Keyword(s):  
Carbon Dioxide ◽  
Fuel Consumption ◽  
Carbon Dioxide Emissions ◽  
Polynomial Regression ◽  
Control Strategies ◽  
Future Research ◽  
Light Duty ◽  
The Government ◽  
Government Of Canada ◽  
Light Duty Vehicles

Due to the alarming rate of climate change, fuel consumption and emission estimates are critical in determining the effects of materials and stringent emission control strategies. In this research, an analytical and predictive study has been conducted using the Government of Canada dataset, containing 4973 light-duty vehicles observed from 2017 to 2021, delivering a comparative view of different brands and vehicle models by their fuel consumption and carbon dioxide emissions. Based on the findings of the statistical data analysis, this study makes evidence-based recommendations to both vehicle users and producers to reduce their environmental impacts. Additionally, Convolutional Neural Networks (CNN) and various regression models have been built to estimate fuel consumption and carbon dioxide emissions for future vehicle designs. This study reveals that the Univariate Polynomial Regression model is the best model for predictions from one vehicle feature input, with up to 98.6% accuracy. Multiple Linear Regression and Multivariate Polynomial Regression are good models for predictions from multiple vehicle feature inputs, with approximately 75% accuracy. Convolutional Neural Network is also a promising method for prediction because of its stable and high accuracy of around 70%. The results contribute to the quantifying process of energy cost and air pollution caused by transportation, followed by proposing relevant recommendations for both vehicle users and producers. Future research should aim towards developing higher performance models and larger datasets for building APIs and applications.

Analysis of emissions from various driving cycles based on real driving measurements obtained in a high-altitude city

2020 ◽  
Vol 234 (6) ◽  
pp. 1563-1571 ◽  
Author(s):  
Meng Lyu ◽  
Xiaofeng Bao ◽  
Yunjing Wang ◽  
Ronald Matthews
Keyword(s):  
High Altitude ◽  
Real World ◽  
Vehicle Emissions ◽  
Control Strategies ◽  
Driving Cycle ◽  
Specific Power ◽  
Test Cycle ◽  
Light Duty ◽  
And Control ◽  
Light Duty Vehicles

Vehicle emissions standards and regulations remain weak in high-altitude regions. In this study, vehicle emissions from both the New European Driving Cycle and the Worldwide harmonized Light-duty driving Test Cycle were analyzed by employing on-road test data collected from typical roads in a high-altitude city. On-road measurements were conducted on five light-duty vehicles using a portable emissions measurement system. The certification cycle parameters were synthesized from real-world driving data using the vehicle specific power methodology. The analysis revealed that under real-world driving conditions, all emissions were generally higher than the estimated values for both the New European Driving Cycle and Worldwide harmonized Light-duty driving Test Cycle. Concerning emissions standards, more CO, NOx, and hydrocarbons were emitted by China 3 vehicles than by China 4 vehicles, whereas the CO2 emissions exhibited interesting trends with vehicle displacement and emissions standards. These results have potential implications for policymakers in regard to vehicle emissions management and control strategies aimed at emissions reduction, fleet inspection, and maintenance programs.

scholarly journals Exhaust emission and fuel consumption characteristics of light duty under different driving cycles

2021 ◽  
Vol 268 ◽  
pp. 01050
Author(s):  
Peilin Geng ◽  
Le Liu ◽  
Yuwei Wang ◽  
Xionghui Zou
Keyword(s):  
Fuel Consumption ◽  
Large Displacement ◽  
Exhaust Emission ◽  
Small Displacement ◽  
Control Technology ◽  
Test Cycle ◽  
Testing Conditions ◽  
Driving Cycles ◽  
Light Duty ◽  
The Difference

This paper focuses on light duty of china 6 with the same emission control technology. three vehicles, with different engine displacements, were selected to study the emission and fuel consumption characteristics under three test cycles of NEDC, WLTC and CLTC. The results show that the emissions of CO, THC and NOx under WLTC cycle are minimum, compared with the NEDC and CLTC circulation. with the decrease of the engine displacement, the difference of CO and THC emissions increases among different cycles, which shows small displacement engine vehicles are greatly affected by driving cycles. Compared with other testing conditions, the PN emissions are relatively larger, but the difference of PN emissions is very small among the three test cycles.The fuel consumption of the WLTC test cycle is the smallest among the three cycles. As the engine displacement decreases, the fuel consumption difference decreases, indicating that the fuel consumption of large displacement engine vehicles is greatly affected by the cycle condition.

scholarly journals Comparative analysis of automatic transmission and manual transmission behaviour on the worldwide harmonized light duty test cycle

2018 ◽  
Vol 184 ◽  
pp. 01020
Author(s):  
Norbert Bagameri ◽  
Bogdan Varga ◽  
Aron Csato ◽  
Dan Moldovanu
Keyword(s):  
Fuel Consumption ◽  
World Wide ◽  
Dynamic Models ◽  
Driving Cycle ◽  
Manual Transmission ◽  
Test Cycle ◽  
Vehicle Model ◽  
Light Duty ◽  
The World ◽  
Avl Cruise

The European Commission has been actively involved in the development of the World-wide harmonized Light duty Test Cycle (WLTC). The aim of that project was to develop a harmonized light duty test cycle, that represents the average driving characteristics around the world and to have a legislative world-wide-harmonized procedure put in place from 2017 and onwards for determining the level of CO2 emissions. This work presents the results of the effect of automatic and manual transmissions as a drivetrain of a light duty vehicle on WLTC driving cycle. AVL Cruise software was used as simulation platform to analyse the CO2 level and fuel consumption of dynamic vehicle model using different type of drivetrains. At first the simulation tool and the most influential parameters of the driving cycle procedure are described. In the second phase various components and modules for both dynamic models using automatic and manual transmission, as well as the respective input parameters, were defined. Analyses are based on a developed dynamic vehicle model in AVL Cruise. Finally, the simulation results were evaluated and presented for the two dynamic models according to a legislative driving cycle to provide the basis fuel consumption and exhaust gas emissions.

scholarly journals Adaptive calibration for reduced fuel consumption and emissions

2016 ◽  
Vol 230 (14) ◽  
pp. 2002-2014 ◽  
Author(s):  
Carlos Guardiola ◽  
Benjamín Pla ◽  
Pau Bares ◽  
Harald Waschl
Keyword(s):  
Control Unit ◽  
Experimental Tests ◽  
Pollutant Emission ◽  
Engine Control ◽  
Additional Information ◽  
Adaptive Calibration ◽  
Light Duty ◽  
Good Potential ◽  
Emission Limits ◽  
Fuel Consumption And Emissions

This paper presents a model-based approach for continuously adapting an engine calibration to the traffic and changing pollutant emission limits. The proposed strategy does not need additional experimental tests beyond those required by the traditional calibration approach. The method utilises information currently available in the engine control unit to adapt the engine control to the particular driving patterns of a given driver. Additional information about the emissions limits should be provided by an external structure if an adaptation to the pollutant immission is required. The proposed strategy has been implemented in a light-duty diesel engine, and showed a good potential to keep NO x emissions around a defined limit.

In-Cylinder Pressure Measurement: Requirements for On-Board Engine Control

2008 ◽  
Vol 130 (3) ◽  
Author(s):  
Fabrizio Ponti
Keyword(s):  
Data Storage ◽  
Control Strategies ◽  
Electronic Control Unit ◽  
Low Cost ◽  
Low Frequency ◽  
Control Unit ◽  
Engine Control ◽  
Cylinder Pressure ◽  
Diagnostic Strategies ◽  
Denox Catalysts

During these last years, passenger vehicles have been equipped with an increasing number of sensors, in an effort to monitor and control their behavior in terms of global performance and emissions. This, together with constantly increasing electronic control unit computing power and data storage capabilities, allowed the development of more efficient engine-vehicle control strategies. In this perspective, new sensors will be employed as soon as their use will be shown to be necessary to design new engine control and diagnostic strategies, and their cost and expected life will be compatible with on-board application. A sensor that has been largely studied in recent years is the in-cylinder pressure one: advanced engine control strategies that make use of the signal coming from such a sensor have been investigated, while reliable and low-cost sensors are being developed to survive for the vehicle life the harsh on-board environment. The signal coming from the in-cylinder pressure is, in fact, very rich in information and could be used, for example, to improve engine torque management (by directly computing the instantaneous indicated torque), to improve air∕fuel ratio control, misfire and knock detection capabilities, engine emission estimation (to be used for DeNOx catalysts purging management as an example), residual gas fraction estimation, etc. Many sensor concepts have been developed, although none seems to actually fully meet both the precision and low-cost requirements necessary for on-board application. This work deals with defining the sensor precision characteristics necessary to effectively implement the aforementioned engine control and diagnostic capabilities improvements. In particular, it will be shown that only the low-frequency signal content has to be precisely measured and is critical for certain application. In addition, the importance of a correct reference of the in-cylinder pressure signal is discussed, and a novel methodology to quickly obtain this information once the engine has been setup with a proper in-cylinder pressure sensor is discussed.

Sign in / Sign up

Export Citation Format

Share Document