Correlation relationships of processes in the combustion engine in the RDE test
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1
Automotive Development Institute in Bielsko-Biała, BOSMAL, Poland
2
Warsaw, Institute of Environmental Protection – National Research Institute, Poland
3
Faculty of Civil and Transport Engineering, Institute of IC Engines and Powertrains;
Poznan University of Technology, Poland
These authors had equal contribution to this work
Submission date: 2024-07-22
Final revision date: 2024-08-26
Acceptance date: 2024-09-02
Online publication date: 2024-10-01
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ABSTRACT
The article presents considerations on the processes taking place in the combustion engine in the in real driving operating conditions of a vehicle performing the RDE (Real Driving Emissions) test. The tests were carried out using a passenger car with a spark-ignition engine. The processes considered in the article were related to the engine operating states, exhaust emissions and fuel consumption, and the vehicle speed, which determines the engine operating conditions. The RDE test were carried out using PEMS (Portable Emissions Measurement System) equipment, and the following variables were recorded: vehicle speed, control, rotational speed, relative torque and relative engine power, emission pollutant intensity of: carbon monoxide, hydrocarbons, nitrogen oxides and carbon dioxide, the intensity of particle number and the fuel consumption intensity. The recorded signals were digitally processed, and the statistical properties of the variables and the mutual relation between the engine operating states were examined. The properties of the measured variables were investigated in the entire RDE test and in its constituent phases: the first, corresponding to vehicle movement in cities, the second – outside cities, and the third – on highways and expressways. The pollutant specific distance emission and the particle number specific distance as well as the specific distance fuel consumption were determined in relation to the average vehicle speed, and based on these results, the exhaust emissions and fuel consumption characteristics were created. Correlational studies of the considered variables were also performed. Pearson's linear correlation coefficients for the measured variables combinations were determined.
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