RESEARCH PAPER
Investigation of exhaust emissions from the gasoline engine of a light duty vehicle in the Real Driving Emissions test
| 1 | Faculty of Mechanical Engineering, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Poland |
| 2 | The National Center for Emissions Management, The Institute of Environmental Protection, Poland |
| 3 | Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska, Poland |
| 4 | Faculty of Civil and Transport Engineering, Poznan University of Technology, Poland |
CORRESPONDING AUTHOR
Jerzy Merkisz
Faculty of Civil and Transport Engineering, Poznan University of Technology, pl. M. Skłodowskiej-Curie 5, 60-965, Poznań, Poland
Faculty of Civil and Transport Engineering, Poznan University of Technology, pl. M. Skłodowskiej-Curie 5, 60-965, Poznań, Poland
Submission date: 2023-04-26
Acceptance date: 2023-05-04
Online publication date: 2023-05-04
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):165880
HIGHLIGHTS
- The application of the Monte Carlo method to the results of empirical research in the RDE test turned out to be an effective way to determine the characteristics of pollutant emissions in the conditions of real car use.
- The scope of the article was to study the properties of a light duty vehicle combustion engine in conditions simulating its real operation.
KEYWORDS
TOPICS
ABSTRACT
The article contains the research results and analysis of the processes that take place as part of a gasoline engine light duty vehi-cle Real Driving Emissions test. Dimensionless characteristics of exhaust emission and fuel mass consumption in the RDE test were also determined: emission intensity, particle number emission intensity, fuel mass consumption intensity. An algorithm for determining the characteristics specific distance pollutant emission, specific distance particle number and specific distance fuel mass consumption in the vehicle speed domain in the RDE test was presented using the Monte Carlo method. The determined characteristics were approximated by polynomial functions in the form of sets of points. These relationships were characterized by a large dispersion of values, which was primarily due to the fact that the random values of the averaging limits contain very different engine operating conditions.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.