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Modelling of Hybrid Electric Vehicle Powertrains - Factors That Impact Accuracy of CO₂ Emissions
ISSN: 0148-7191, e-ISSN: 2688-3627
Published January 15, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Modelling is widely used for the development of hybrid electric vehicle (HEV) powertrain technologies, since it can provide accurate prediction of fuel consumption and CO₂ emissions, for a fraction of the resources required in experiments. For comparison of different technologies or powertrain parameters, the results should be accurate relative to each other, since powertrains are simulated under identical model details and simulation parameters. However, when CO₂ emissions of a vehicle model are simulated under a driving cycle, significant deviances may occur between actual tests and simulation results, compromising the integrity of simulations. Therefore, this paper investigates the effects of certain modelling and simulation parameters on CO₂ emission results, for a parallel HEV under three driving cycles (NEDC, WLTC and RTS95 to simulate real driving emissions (RDE)). A sensitivity analysis on battery state of charge levels (SOC), control systems, component data resolutions, warm-up phase, time-step, driver controller behavior and 0D vs 1D simulation parameters is carried out and their effect on CO₂ emission results are investigated. While any change in one of the parameters may result in either a lower or higher CO₂ value, their cumulative effect on simulation results may result in significant differences of up to +-15%. Unfortunately, it is not hard to overlook the effect of these parameters and conduct powertrain simulations without taking this into account. By identifying key parameters and quantifying their effect on simulation results, this paper aims to improve the accuracy of HEV powertrain simulations to provide more reliable results.
CitationMamikoglu, S. and Dahlander, P., "Modelling of Hybrid Electric Vehicle Powertrains - Factors That Impact Accuracy of CO₂ Emissions," SAE Technical Paper 2019-01-0080, 2019, https://doi.org/10.4271/2019-01-0080.
Data Sets - Support Documents
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- Regulation (EU) No. 333/2014, Amending Regulation (EC) No. 443/2009 to define the modalities for reaching the 2020 target to reduce CO₂ emissions from new passenger cars, Mar. 11, 2014.
- Gao, D., Mi, C., and Emadi, A. , “Modelling and Simulation of Electric and Hybrid Vehicles,” Proceedings of the IEEE 4:95, Apr. 2007, doi:10.1109/JPROC.2006.890127.
- Regulation No. 101 of the Economic Commission for Europe of the United Nations (UN/ECE), “Uniform provisions concerning the approval of passenger cars powered by an internal combustion engine only, or powered by a hybrid electric power train with regard to the measurement of the emission of carbon dioxide and fuel consumption and/or the measurement of electric energy consumption and electric range, and of categories M1 and N1 vehicles powered by an electric power train only with regard to the measurement of electric energy consumption and electric range,” Official Journal of the European Union, June 19, 2007.
- Tsokolis, D., Tsiakmakis, S., Dimaratos, A., Fontaras, G. et al. , “Fuel Consumption and CO₂ Emissions of Passenger Cars over the New Worldwide Harmonized Test Protocol,” Applied Energy 179(2016):1152-1165, 2016.
- Taylor, R. , “Tribology and Energy Efficiency: From Molecules to Lubricated Contacts to Complete Machines,” Faraday Discussions, Jan. 2012, doi:10.1039/C2FD00122E.
- Irimescu, A., Mihon, L., and Padure, G. , “Automotive Transmission Efficiency Measurement Using a Chassis Dynamometer,” International Journal of Automotive Technology, Jan. 2011, doi:10.1007/s12239−011−0065−1.
- Cubito, C., Millo, F., Boccardo, G., Di Pierro, G. et al. , “Impact of Different Driving Cycles and Operating Conditions on CO₂ Emissions and Energy Management Strategies of a Euro-6 Hybrid Electric Vehicle,” Energies, Oct. 13, 2017, doi:10.3390 / en10101590.
- Pavlovic, J., Marotta, A., Ciuffo, B., and Serra, S. , “Correction of Test Cycle Tolerances: Evaluating the Impact on CO₂ Results,” Transportation Research Procedia 14, 2016, doi:10.1016/j.trpro.2016.05.250.
- Zemen, J., Papadimitriou, I., Watanabe, K., Kubo, M. et al. , “Modelling and Optimization of Plug-In Hybrid Electric Vehicle Fuel Economy,” SAE Technical Paper 2012-01-1018, 2012, doi:10.4271/2012-01-1018.
- Bidarvatan, M. and Shahbakhti, M. , “Analysis and Control of Torque Split in Hybrid Electric Vehicles by Incorporating Powertrain Dynamics,” Journal of Dynamic Systems Measurement and Control, Apr. 2018.
- Nüesch, T., Cerofolini, A., Mancini, G., and Cavina, N. , “Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle,” Energies, May 2014, doi:10.3390/en7053148.
- Finesso, R., Spessa, S., and Venditti, M. , “Robust Equivalent Consumption-Based Controllers for a Dual-Mode Diesel Parallel HEV,” Energy Conversion and Management, 2016.
- Enang, W., Bannister, C., Brace, C., and Vagg, C. , “Modelling and Heuristic Control of a Parallel Hybrid Electric Vehicle,” Journal of Automotive Engineering, 2015, doi:10.1177/0954407014565633.