Correlation relationships of processes in the combustion engine in the RDE test
[ 1 ] Instytut Napędów i Lotnictwa, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ P ] employee
2024
Journal year: 2024 | Journal number: no. 4 (199)
scientific article
english
- correlation
- Real Driving Emissions test (RDE)
- pollutant emission
- fuel mass consumption
- engine operating state
EN The article presents considerations on the processes taking place in the combustion engine in the 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 mass consumption, and the vehicle velocity, which determines the engine operating conditions. The RDE test was carried out using PEMS (Portable Emissions Measurement System) equipment, and the following variables were recorded: vehicle velocity, control, engine 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 mass 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 traffic 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 mass consumption were determined in relation to the average vehicle velocity, and based on these results, the exhaust emissions and fuel mass consumption characteristics were created. Correlational studies of the considered variables were also performed. Pearson's linear correlation coefficients for the combinations of the measured variables were determined.
112 - 125
CC BY (attribution alone)
open journal
original author's version
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