This content is not included in your SAE MOBILUS subscription, or you are not logged in.
A Comprehensive Hybrid Vehicle Model for Energetic Analyses on Different Powertrain Architectures
Technical Paper
2019-24-0064
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
In the global quest for preventing fossil fuel depletion and reducing air pollution, hybridization plays a fundamental role to achieve cleaner and more fuel-efficient automotive propulsion systems.
While hybrid powertrains offer many opportunities, they also present new developmental challenges. Due to the many variants and possible architectures, development issues, such as the definition of powertrain concepts and the optimization of operating strategies, are becoming more and more important.
The paper presents model-based fuel economy analyses of different hybrid vehicle configurations, depending on the position of the electric motor generator (EMG). The analyses are intended to support the design of powertrain architecture and the components sizing, depending on the driving scenario, with the aim of reducing fuel consumption and CO2 emissions.
The analyses are performed making use of a comprehensive vehicle model, based on a hybrid (black-box and lumped parameters) approach, of a medium passenger car equipped with a turbocharged Diesel engine. The model has been enhanced to account for the additional components of two different powertrain configurations: one with the EMG directly coupled to the crankshaft and the other with the EMG positioned downstream the gearbox.
Simulations have been carried out vs. standard and real driving cycles for two energy management strategies, namely a rule-based strategy (RBS) and an equivalent consumption minimization strategy (ECMS). The results allow evaluating the impact of powertrain configuration and component sizing on fuel economy and CO2 emissions, in case of urban and extra-urban routes.
Recommended Content
Authors
Topic
Citation
Cervone, D., Sessa, B., Arsie, I., Pianese, C. et al., "A Comprehensive Hybrid Vehicle Model for Energetic Analyses on Different Powertrain Architectures," SAE Technical Paper 2019-24-0064, 2019, https://doi.org/10.4271/2019-24-0064.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
[Unnamed Dataset 1] | ||
[Unnamed Dataset 2] | ||
[Unnamed Dataset 3] | ||
[Unnamed Dataset 4] | ||
[Unnamed Dataset 5] |
Also In
References
- Knetch, W. , “Diesel Engine Development in view of Reduced Emissions Standards,” Energy 33(2):264-271, 2008.
- Squaiella, L.L.F., Martins, C.A., and Lacava, P.T. , “Strategies for Emission Control in Diesel Engine to Meet Euro VI,” Fuel 104:183-193, 2013.
- Arsie, I., Di Iorio, S., and Vaccaro, S. , “Experimental Investigation of the Effects of AFR, Spark Advance and EGR on Nanoparticle Emissions in a PFI SI Engine,” Journal of Aerosol Science 64:1-10, 2013.
- Rossomando, B., Arsie, I., Meloni, E., Palma, V., and Pianese, C. , “Experimental Testing of a Low Temperature Regenerating Catalytic DPF at the Exhaust of a Light-Duty Diesel Engine,” SAE Technical Paper 2018-01-0351 , 2018, doi:10.4271/2018-01-0351.
- Lambert, C., Hammerle, R., McGill, R., Khair, M., and Sharp, C. , “Technical Advantages of Urea SCR for Light-Duty and Heavy-Duty Diesel Vehicle Applications,” SAE Technical Paper 2004-01-1292 , 2004, doi:10.4271/2004-01-1292.
- Guzzella L., Sciarretta A. , “Vehicle Propulsion Systems, Introduction to Modeling and Optimization”. Springer, 2012.
- Sciarretta, A. and Guzzella, L. , “Control of hybrid electric vehicles. Optimal Energy Management Strategies,” IEEE Control Systems Magazine 27(2):60-70, 2007.
- Rizzo, G., Sorrentino, M., and Arsie, I. , “Rule-based Optimization of Intermittent ICE Scheduling on a Hybrid Solar Vehicle,” SAE International Journal of Engines 2(2):521-529, 2010.
- Sciarretta, A., Back, M., and Guzzella, L. , “Optimal Control of Parallel Hybrid Electric Vehicles,” IEEE Transactions on Control Systems Technology 12(3):352-363, 2004.
- Paganelli G., Tateno M., Brahma A., Rizzoni G., and Guezennec Y. , “Control Development for a Hybrid-Electric Sport-Utility Vehicle: Strategy, Implementation and Field Test Results,” in Proc. of 2001 American Control Conference, Arlington, VA, 2001, 5064-5069 vol. 6. doi:10.1109/ACC.2001.945787.
- Kim, N., Cha, S.-W., and Peng, H. , “Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle,” IEEE Trans. Contr. Sys. Techn. 19:1279-1287, 2010.
- Liu, J. and Peng, H. , “Modeling and Control of a Power-Split Hybrid Vehicle,” IEEE Transactions on Control Systems Technology 16(6):1242-1251, 2008.
- Chasse, A. and Sciarretta, A. , “Supervisory Control of Hybrid Powertrains: An Experimental Benchmark of Offline Optimization and Online Energy Management,” Control Engineering Practice 19:1253-1265, 2011.
- Paganelli, G., Delprat, S., Guerra, T.M., Rimaux, J. and Santin, J.J. , “Equivalent Consumption Minimization Strategy for Parallel Hybrid Powertrains,” in Proc. of IEEE 55th Vehicular Technology Conference, Birmingham, AL, 2002, Vol. 4, 2076-2081, doi:10.1109/VTC.2002.1002989.