Modelling of motor vehicle operation for the evaluation of pollutant emission and fuel consumption
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Automotive Industry Institute in Warsaw.
Engine and Chassis Laboratory at Automotive Industry Institute in Warsaw.
Faculty of Automotive and Construction Machinery Engineering at Warsaw University of Technology.
Liquid Fuels and Bio-economy Department at Automotive Industry Institute in Warsaw.
Publication date: 2017-11-01
Combustion Engines 2017,171(4), 156–163
A novel approach to modelling of motor vehicle operation by employing special test cycles threated as realizations of the stochastic process of vehicle velocity is presented. The families of test cycles were designed to simulate driving conditions in street congestion, urban, extra-urban, and high-speed traffic. The data necessary for the development of test cycles was obtained in the empirical investigations conducted in real road traffic. The recorded velocity time-histories were analysed in the time, frequency, and process value domains. Fragments of the velocity vs. time curves, representative for the considered driving conditions, were selected to design test cycles. The statistical examination of those test cycles demonstrated that individual process realizations are similar to each other and to all the process realizations recorded during the empirical tests.
ANDRÉ, M. The ARTEMIS European driving cycles for measuring car pollutant emissions. Science of the Total Environment. 2004, 334-335, 73-84.
BANDO, M., HASEBE, K., NAKAYAMA, A. et al. Dynamical model of traffic congestion and numerical simulation. Physical Review E. 1995, 51(2), 1035-1042.
BARLOW, T.J., LATHAM, S., MCCRAE, I.S., BOUTLER, P.G. A reference book of driving cycles for use in the measurement of road vehicle emission: version 3. TRL, United Kingdom 2009.
BARTH, M., SCORA, G., YOUNGLOVE, T. Estimating emissions and fuel consumption for different levels of freeway congestion. Transportation Research Record: Journal of the Transportation Research Board. 1999, 1664, 47-57.
BENDAT, J.S., PIERSOL, A.G. Random data: analysis & measurement procedures. Wiley, New York 1966.
BUWAL, INFRAS. Luftschadstoffemissionen des Strassenverkehrs 1950-2010: BUWAL-Bericht Nr. 255. BUWAL, Bern 1995.
CHŁOPEK, Z. Modelling of exhaust emission processes in the conditions of operation of combustion engines in mobile applications. Publishing House of the Warsaw University of Technology. Warszawa 1999.
CHŁOPEK, Z. The cognitive interpretation of the Monte Carlo method for the technical applications. Eksploatacja i Niezawodnosc – Maintenance and Reliability. 2009, 43(3), 38-46.
CHŁOPEK, Z. The research of the probabilistic characteristics of exhaust emissions from vehicle engines. Combustion Engines. 2011, 144(1), 49-56.
CHŁOPEK, Z., BIEDRZYCKI, J., LASOCKI, J., WÓJCIK, P. Investigation of the motion of motor vehicles in Polish conditions. The Archives of Automotive Engineering – – Archiwum Motoryzacji. 2013, 60(2), 3-20.
CHŁOPEK, Z., BIEDRZYCKI, J., LASOCKI, J., WÓJCIK, P. Investigation of pollutant emissions from a motor vehicle engine in tests simulating real vehicle use in road traffic conditions. Combustion Engines. 2013, 154(3), 202-207.
CHŁOPEK, Z., BIEDRZYCKI, J., LASOCKI, J., WÓJCIK, P. Pollutant emissions from combustion engine of motor vehicle tested in driving cycles simulating real-world driving conditions. Proceedings of the Institute of Vehicles. 2013 92(1), 65-74.
DELPHI. 2016/2017 Worldwide Emission Standards: Passenger Cars and Light Duty. 2016.
EEA. EMEP/CORINAIR Emission Inventory Guidebook – 2007.
GONG, Q., MIDLAM-MOHLER, S., MARANO, V., RIZZONI, G. An iterative markov chain approach for generating vehicle driving cycles. SAE International Journal of Engines. 2011, 4(1), 1035-1045.
JACOBS, P.A. A random measure model for the emission of pollutants by vehicles on a highway. Stochastic Processes and their Applications. 1974, 2(2), 163-176.
KELLER, M., WÜTHRICH, P. Handbook emission factors for road transport 3.1/3.2: Quick Reference. INFRAS AG, Bern 2014.
LEE, T.-K., FILIPI, Z.S. Synthesis of real-world driving cycles using stochastic process and statistical methodology. International Journal of Vehicle Design. 2011, 57(1), 17-36.
LIN, J., NIEMEIER, D.A. An exploratory analysis comparing a stochastic driving cycle to California’s regulatory cycle. Atmospheric Environment. 2002, 36(38), 5759-5770.
LYONS, T.J., KENWORTHY, J.R., AUSTIN, P.I., NEWMAN, P.W.G. The development of a driving cycle for fuel consumption and emissions evaluation. Transportation Research Part A: General. 1986, 20(6), 447-462.
METROPOLIS, N., ULAM, S. The Monte Carlo method. Journal of the American Statistical Association. 1949, 247(44), 335-341.
MILLER, A.J. Road traffic flow considered as a stochastic process. Mathematical Proceedings of the Cambridge Philosophical Society. 1962, 58(2), 312-325.
NOLLET, V., SCHADKOWSKI, C., HUE, S. et al. Elaboration d'un cadastre d'émissions de polluants primaires dans la region Nord-Pas-de-Calais: Les transports automobiles. Pollution atmosphérique. 2000, 165, 109-119.
PAPOULIS, A., PILLAI, S.U. Probability, random variables and stochastic processes. McGraw-Hill, New York 2002.
SAVITZKY, A., GOLAY, M.J.E. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry. 1964, 36(8), 1627-1639.
SCHWARZ, W. Consistent engine and vehicle modeling for real life fuel consumption and emission predictions. Paper presented at the AVL Sweden Seminar, Göteborg, November 7th 2012.
SOUFFRAN, G., MIÈGEVILLE, L., GUÉRIN, P. Simulation of real-world vehicle missions using a stochastic Markov model for optimal design purposes. IEEE Transactions on Vehicular Technology. 2011, 61(8), 1-6.
TONG, H.Y., HUNG, W.T., CHEUNG, C.S. Development of a driving cycle for Hong Kong. Atmospheric Environment. 1999, 33(15), 2323-2335.
TREIBER, M., HENNECKE, A., HELBING, D. Congested traffic states in empirical observations and microscopic simulations. Physical Review E. 2000, 62, 1805-824.
TRYON, R.C. Cluster analysis: correlation profile and orthometric (factor) analysis for the isolation of unities in mind and personality. Edwards Brothers, Ann Arbor 1939.
TUKEY, J.W. An introduction to the calculations of numerical spectrum analysis. In: Spectral Analysis of Time Series, edited by B. Harris, 25-46. Wiley, New York 1967.