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Real Time Energy Management Control Strategies for an Electrically Supercharged Gasoline Hybrid Vehicle
Technical Paper
2020-01-1009
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The high level of electric power available on a Hybrid Electric Vehicle (HEV) enables the introduction of electrical auxiliaries in addition or in substitution to the ones currently available on a conventional powertrain. Among these auxiliaries, electric Superchargers (eSC) for the improvement of the vehicle performance or electrically heated catalysts for the reduction of the light-off time of the after-treatment may dramatically affect the Energy Management System (EMS) of an HEV. Moreover, since these devices are only fluid-dynamically, but not mechanically, linked to the powertrain, they are traditionally neglected in the optimization of the powersplit between internal combustion engine and electric machines by the EMS. The aim of the current work is the development of an EMS that is able to consider in real time the overall electric energy consumption of the entire powertrain. More in detail, this activity focuses on the refinement of the Equivalent Consumption Minimization Strategy (ECMS) including the power required by an eSC installed on a turbocharged gasoline engine. This innovative EMS is tested by means of numerical simulation on a small SUV (Sport Utility Vehicle) featuring a 48 V electric network over Type Approval and Real Driving Emissions (RDE) driving cycles. The novel EMS shows promising results in terms of eSC energy management and vehicle fuel consumption compared with the baseline.
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Citation
Accurso, F., Zanelli, A., Rolando, L., and Millo, F., "Real Time Energy Management Control Strategies for an Electrically Supercharged Gasoline Hybrid Vehicle," SAE Technical Paper 2020-01-1009, 2020, https://doi.org/10.4271/2020-01-1009.Data Sets - Support Documents
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References
- Millo , F. , Mallamo , F. , Pautasso , E. , and Ganio Mego , G. The Potential of Electric Exhaust Gas Turbocharging for HD Diesel Engines SAE Technical Paper 2006-01-0437 2006 https://doi.org/10.4271/2006-01-0437
- Wei , W. , Zhuge , W. , Zhang , Y. , and He , Y. Comparative Study on Electric Turbo-Compounding Systems for Gasoline Engine Exhaust Energy Recovery ASME Turbo Expo 2010: Power for Land, Sea, and Air October 2010 531 539
- Zhuge , W. , Huang , L. , Wei , W. , Zhang , Y. et al. Optimization of an Electric Turbo Compounding System for Gasoline Engine Exhaust Energy Recovery SAE Technical Paper 2011-01-0377 2011 https://doi.org/10.4271/2011-01-0377
- Vitek , O. and Macek , J. Thermodynamic Potential of Electrical Turbocharging for the Case of Small Passenger Car ICE under Steady Operation SAE Technical Paper 2017-01-0526 2017 https://doi.org/10.4271/2017-01-0526
- Spinner , G. , Dahinten , F. , Dauscher , S. , and Münz , S. Electrified Boosting Systems in Today's and Future Automotive Applications 2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) April 2018 1 5
- Zanelli , A. , Millo , F. , Barbolini , M. , and Neri , L. Assessment Through Numerical Simulation of the Impact of a 48 V Electric Supercharger on Performance and CO2 Emissions of a Gasoline Passenger Car SAE Technical Paper 2019-01-1284 2019 https://doi.org/10.4271/2019-01-1284
- Zanelli , A. , Millo , F. , and Barbolini , M. Driving Cycle and Elasticity Manoeuvres Simulation of a Small SUV Featuring an Electrically Boosted 1.0 L Gasoline Engine SAE Technical Paper 2019-24-0070 2019 https://doi:10.4271/2019-24-0070
- Millo , F. , Accurso , F. , Zanelli , A. , and Rolando , L. Numerical Investigation of 48 V Electrification Potential in Terms of Fuel Economy and Vehicle Performance for a Lambda-1 Gasoline Passenger Car Energies 12 2998 2019
- Griefnow , P. , Andert , J. , Xia , F. , Klein , S. et al. Real-Time Modeling of a 48V P0 Mild Hybrid Vehicle with Electric Compressor for Model Predictive Control SAE Technical Paper 2019-01-0350 2019 https://doi:10.4271/2019-01-0350
- Schaub , J. , Frenken , C. , Holderbaum , B. , Griefnow , P. , Savelsberg , R. , Coppin , O. 2017 FEV ECObrid - A 48V Mild Hybrid Concept for Passenger Car Diesel Engines Liebl , J. , Beidl , C. Internationaler Motorenkongress 2017, Proceedings 10.1007/978-3-658-17109-4_15
- Liu , Y. , Wang , Y.Y. , and Canova , M. Distributed Model Predictive Control of an Electrically Boosted Diesel Engine Air Path System 2018 Annual American Control Conference (ACC) June 2018 2461 2466
- Ebbesen , S. , Salazar , M. , Elbert , P. , Bussi , C. , and Onder , C.H. Time-Optimal Control Strategies for a Hybrid Electric Race Car IEEE Transactions on Control Systems Technology 26 1 233 247 2017
- Salazar , M. , Elbert , P. , Ebbesen , S. , Bussi , C. , and Onder , C.H. Time-Optimal Control Policy for a Hybrid Electric Race Car IEEE Transactions on Control Systems Technology 25 6 1921 1934 2017
- Salazar , M. , Balerna , C. , Elbert , P. , Grando , F.P. , and Onder , C.H. Real-Time Control Algorithms for a Hybrid Electric Race Car Using a Two-Level Model Predictive Control Scheme IEEE Transactions on Vehicular Technology 66 12 10911 10922 2017
- Paganelli , G. , Guerra , T.M. , Delprat , S. , Santin , J.J. et al. Simulation and Assessment of Power Control Strategies for a Parallel Hybrid Car Proc. Inst. Mech. Eng. Part D J. Automobil. Eng. 214 705 717 2000
- Nazari , S. , Middleton , R. , Siegel , J. , and Stefanopoulou , A. Equivalent Consumption Minimization Strategy for a Power Split Supercharger SAE Technical Paper 2019-01-1207 2019 https://doi.org/10.4271/2019-01-1207
- https://www.dieselnet.com/standards/cycles/index.php 2019
- Clairotte , M. , Valverde , V. , Bonnel , P. , Giechaskiel , B. et al. Joint Research Centre 2017 Light-Duty Vehicles Emissions Testing Luxembourg Publications Office of the European Union 2018 978-92-79-90601-5
- Scharf , J. , Thewes , M. , Balazs , A. , Fh , D. , Lückenbach , S. , and Speckens , F. All Clean Gasoline Hybrid Powertrains-Real Driving Emissions, Lambda = 1 & Euro 7 Proceedings of the Aachen Colloquium Automobile and Engine Technology Aachen, Germany October 8-10 2018 935 956
- Glahn , C. , Koenigstein , D.A. , and Hermann , I. Future for All?-Lambda-1-Combustion Systems of Small Powertrains for the High Volume Market Proceedings of the Aachen Colloquium Automobile and Engine Technology Aachen, Germany October 8-10, 2018 913 934
- Millo , F. , Di Lorenzo , G. , Servetto , E. , Capra , A. et al. Analysis of the Performance of a Turbocharged S.I. Engine under Transient Operating Conditions by Means of Fast Running Models SAE Int. J. Engines 6 2 968 978 2013 https://doi.org/10.4271/2013-01-1115
- https://wiki.unece.org/display/trans/Gearshift+calculation+tool 2019
- Commission https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:L:2017:175:TOC 2019
- Onori , S. , Serrao , L. , and Rizzoni , G. Hybrid Electric Vehicles: Energy Management Strategies 13 Berlin, Heidelberg Springer 2016
- Griefnow , P. , Andert , J. , Birmes , G. , and Pischinger , S. Optimierungsbasiertes Energiemanagement Für 48-V-Mildhybrid-Antriebe ATZ Extra 24 42 47 2019 10.1007/s35778-019-0015-5