Analysis of the Influence of Driving Style and Type of Fuel on Pollutant Emissions in a Passenger Car
Artykuł w czasopiśmie
MNiSW
100
Lista 2024
| Status: | |
| Autorzy: | Kozłowski Edward, Zimakowska-Laskowska Magdalena, Wiśniowski Piotr, Żbik Ksawery, Matijošius Jonas, Ornycz Olga |
| Dyscypliny: | |
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| Rok wydania: | 2026 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 3 |
| Wolumen/Tom: | 21 |
| Strony: | 67 - 79 |
| Impact Factor: | 0,6 |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 3 września 2026 |
| Abstrakty: | angielski |
| This paper presents the results of an emission analysis for a passenger vehicle powered by two different fuels: gasoline and liquefied petroleum gas (LPG). The study was conducted under real-world driving conditions and encompassed variable traffic environments and diverse driving styles. The main objective was to determine how the vehicle's operating dynamics, represented by speed and acceleration, affect the emission of selected pollutants. Special attention was given to how fuel type influences emission characteristics across different engine operating states. Linear interpolation methods and advanced visualization tools in 2D and 3D spaces were applied to process the data. This approach allowed the relationships between vehicle dynamics and the emissions of key exhaust components, including CO, HC, NOx, and CO₂, to be analyzed in detail. The analysis also incorporated the distribution of measurement points within the speed–acceleration domain and examined emission variability in response to changing engine loads. The comparison of results obtained for gasoline- and LPG-fueled operation allowed the identification of distinct emission patterns depending on the fuel used and the vehicle's operational conditions. Unlike many previous comparisons that rely on averaged indicators or non-repeatable real-world driving, this study evaluates gasoline and LPG under a strictly reproduced speed–acceleration profile, thereby isolating the fuel effect from driver variability. The combined use of emission maps in the velocity–acceleration domain and probability-weighted metrics (expected value and variability) enables the identification of fuel-specific emission hotspots under transient urban driving conditions. The results show that LPG operation may produce higher transient CO, NOx, and HC emissions than gasoline under the same driving dynamics. |
