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Optimal Energy Management Strategy for Energy Efficiency Improvement and Pollutant Emissions Mitigation in a Range-Extender Electric Vehicle
Technical Paper
2021-24-0103
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The definition of the energy management strategy for a hybrid electric vehicle is a key element to ensure maximum energy efficiency. The ability to optimally manage the on-board energy sources, i.e., fuel and electricity, greatly affects the final energy consumption of hybrid powertrains. In the case of plug-in series-hybrid architectures, such as Range-Extender Electric Vehicles (REEVs), fuel efficiency optimization alone can result in a stressful operation of the range-extender engine with an excessively high number of start/stops. Nonetheless, reducing the number of start/stops can lead to long periods in which the engine is off, resulting in the after-treatment system temperature to drop and higher emissions to be produced at the next engine start. In this work, Dynamic Programming is used to define the optimal energy management strategy for the REEV with a multi-objective cost function that takes into account not only fuel consumption, but also engine start/stops and pollutant emissions. To this aim, experimental data has been used to estimate emissions and develop a thermal model for the after-treatment system. Specifically, a Class 6 pick-up and delivery truck with a plug-in series-hybrid architecture has been modeled in a backward simulator using experimental performance maps. The results show that the optimal energy management strategy with respect to fuel consumption alone is a “blended” strategy. Conversely, the optimal strategy for minimum emissions and reduced start/stops is found to be a charge-depleting (pure electric) strategy with a one-time recharge. When the conflicting objectives of minimum fuel consumption, low number of engine start/stops, and reduced emissions are included in a single cost function for multi-objective optimization, the results show that a trade-off solution can be selected, for which the fuel consumption is near-optimal (less than 5% increase), the engine start/stops are low, and the pollutant emissions are reduced (by more than 50%).
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Villani, M., Shiledar, A., Zhao, T., Lana, C. et al., "Optimal Energy Management Strategy for Energy Efficiency Improvement and Pollutant Emissions Mitigation in a Range-Extender Electric Vehicle," SAE Technical Paper 2021-24-0103, 2021, https://doi.org/10.4271/2021-24-0103.Data Sets - Support Documents
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References
- Silvas , E. , Hofman , T. , Murgovski , N. , Etman , L.F.P. et al. Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles IEEE Trans Veh Technol 66 2016 57 70 https://doi.org/10.1109/TVT.2016.2547897
- Patil , R.M. , Filipi , Z. , and Fathy , H.K. Comparison of Supervisory Control Strategies for Series Plug-In Hybrid Electric Vehicle Powertrains Through Dynamic Programming IEEE Trans Control Syst Technol 22 2014 502 509 https://doi.org/10.1109/TCST.2013.2257778
- Rodrigues , M. , King , S. , Scott , D. , and Wang , D. Advanced Energy Management Strategies for Range Extended Electric Vehicle SAE Technical Paper 2015-26-0121 2015 https://doi.org/10.4271/2015-26-0121
- Jeffers , M.A. , Miller , E. , Kelly , K. , Kresse , J. et al. Development and Demonstration of a Class 6 Range-Extended Electric Vehicle for Commercial Pickup and Delivery Operation SAE Int. J. Adv. & Curr. Prac. in Mobility 2 3 2020 1602 1608 https://doi.org/10.4271/2020-01-0848
- Onori , S. , Serrao , L. , and Rizzoni , G. Hybrid Electric Vehicles: Energy Management Strategies SpringerBriefs Control. Autom. Robot. Springer Publishing Company 2016 1 112 https://doi.org/10.1007/978-1-4471-6781-5
- Sciarretta , A. and Guzzella , L. Optimal Energy-Management Strategies IEEE Control Syst 27 2007 60 70 https://doi.org/10.1109/MCS.2007.338280
- Tribioli , L. , Barbieri , M. , Capata , R. , Sciubba , E. et al. A Real Time Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Optimal Control theory Energy Procedia 45 2014 949 958 https://doi.org/10.1016/j.egypro.2014.01.100
- Onori , S. and Tribioli , L. Adaptive Pontryagin’s Minimum Principle Supervisory Controller Design for the Plug-in Hybrid GM Chevrolet Volt Appl Energy 147 2015 224 234 https://doi.org/10.1016/j.apenergy.2015.01.021
- Maamria , D. , Sciarretta , A. , Chaplais , F. , and Petit , N. Online Energy Management System (EMS) Including Engine and Catalyst Temperatures for a Parallel HEV IFAC-PapersOnLine 50 2017 8913 8920 https://doi.org/10.1016/j.ifacol.2017.08.1291
- Johri , R. and Filipi , Z. Optimal Energy Management of a Series Hybrid Vehicle with Combined Fuel Economy and Low-Emission Objectives Proc Inst Mech Eng Part D J Automob Eng 228 2014 1424 1439 https://doi.org/10.1177/0954407014522444
- Jung , D. , Ahmed , Q. , Zhang , X. , and Rizzoni , G. Mission-Based Design Space Exploration for Powertrain Electrification of Series Plugin Hybrid Electric Delivery Truck SAE Technical Paper 2018-01-1027 2018 https://doi.org/10.4271/2018-01-1027
- Anil , V. , Zhao , T. , Zhao , M. , Villani , M. et al. Powertrain Design Optimization for a Range-Extended Electric Pickup and Delivery Truck SAE Int J Commer Veh 13 2020 189 203 https://doi.org/10.4271/02-13-03-0014
- Rizzoni , G. , Guzzella , L. , and Baumann , B.M. Unified Modeling of Hybrid Electric Vehicle Drivetrains IEEE/ASME Trans Mechatronics 4 1999 246 257 https://doi.org/10.1109/3516.789683
- Sundström , O. and Guzzella , L. A Generic Dynamic Programming Matlab Function Proc IEEE Int Conf Control Appl 2009 1625 1630 https://doi.org/10.1109/CCA.2009.5281131