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Optimal Online Energy Management for Diesel HEV: Robustness to Real Driving Conditions
Technical Paper
2013-01-1471
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper addresses the robustness of an optimal online energy management for diesel hybrid electric vehicle (HEV). Optimal strategy is based on the Equivalent Consumption Minimization Strategy (ECMS). Optimal torque split between engine and electric motor is found by minimizing fuel consumption and Nitrogen Oxides (NOx) emissions. Online adaptation is made in order to ensure battery charge sustainability and good driveability when driving conditions are unknown. The strategy is tested in simulation over one hundred driving cycles representative of real-world conditions. Results obtained with the online strategy are compared with those of an offline optimal strategy (knowing the driving cycle a priori). Even if a slight degradation is noticed in comparison to optimal case, fuel economy and NOx reduction - provided by hybridization - are conserved with the online strategy.
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Topic
Citation
Thibault, L. and Leroy, T., "Optimal Online Energy Management for Diesel HEV: Robustness to Real Driving Conditions," SAE Technical Paper 2013-01-1471, 2013, https://doi.org/10.4271/2013-01-1471.Also In
References
- Chasse , A. , Pognant-Gros , P. , and Sciarretta , A. Online Implementation of an Optimal Supervisory Control for a Parallel Hybrid Powertrain SAE Int. J. Engines 2 1 1630 1638 2009 10.4271/2009-01-1868
- Delprat , S. , Guerra , T.M. and Rimaux , J. Optimal Parallel Powertrain: from a Global Optimization to Real-Time Control Strategy in Proceedings of the 18 th Electric Vehicle Symposium EVS15 Bruxelles 2001
- Grondin , O. , Thibault , L. , Moulin , P. , Chasse , A. and Sciarretta , A. Energy management strategy for Diesel hybrid vehicle Proceedings of the 7 th IEEE Vehicle Power and Propulsion Conference 2011
- Grondin , O. , Thibault , L. and Quérel , C. Transient torque Control of a Diesel Hybrid Powertrain for NO x Limitation in Proceedings of the 3 th IFAC Workshop on Engine and Powertrain Control Simulation and Modeling 2012
- Guzzella , L. and Sciarretta , A. Vehicle propulsion systems: introduction to modeling and optimization Springer Verlag 2 nd ed. 2007
- Johnson , V. , Wipke , K. , and Rausen , D. HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions SAE Technical Paper 2000-01-1543 2000 10.4271/2000-01-1543
- Kirschbaum , F. , Back , M. and Hart M. Determination of the fuel-optimal trajectory for a vehicle along a known route In IFAC 15th Triennial World Congress 15 1505 1505 2002
- Kolmanovsky , I. , Siverguina , I. and Lygoe , B. Optimization of Powertrain operating policy for feasibility assessment and calibration: stochastic dynamic programming approach Proceedings of the American Control Conference 2002
- Leroy , T. , Malaizé , J. and Corde , G. Towards Real-Time Optimal Energy Management of HEV Powertrains Using Stochastic Dynamic Programming in Proceedings of the 8 th IEEE Vehicle Power and Propulsion Conference 2012
- Musardo , C. , Rizzoni , G. and Staccia , B. A-ECMS: An adaptive algorithm for hybrid electric vehicle energy management Proceedings of the 44th IEEE Conference on Decision and Control 2005
- Musardo , C. , Staccia , B. , Midlam-Mohler , S. , Guezennec , Y. and Rizzoni , G. Supervisory control for NO x reduction of an HEV with a mixed mode HCCI/CIDI Engine Proceedings of the American Control Conference 2005
- Opila , D.F. , Wang , X. , McGee , R. , Cook , J.A. and Grizzle , JW. Fundamental structural limitations of an industrial energy management controller architecture for hybrid vehicles In ASME Dynamic Systems and Control Conference 2009
- Sundstrom , O. and Guzzella , L. A generic dynamic programming matlab function In Control Applications (CCA) & Intelligent Control (ISIC) 2009 IEEE 1625 1630 IEEE 2009
- Thibault , L. , Grondin , O. , Querel , C. , and Corde , G. Energy Management Strategy and Optimal Hybridization Level for a Diesel HEV SAE Int. J. Alt. Power. 1 1 260 271 2012 10.4271/2012-01-1019
- Wiartalla , A. , Severin , C. , Rosefort , Y. and Kemper , H. Diesel Hybrid and Exhaust Aftertreatment - Synergies and Optimization Potentials MinNox, 2nd International Conference 2008