This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Implementation of an Optimal Control Like Energy Management for Hybrid Vehicles based on Driving Profiles
Technical Paper
2014-01-1903
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
In this paper an energy management is proposed which is optimal to certain driving scenarios which can be clustered into freeway, rural and urban situations. This strategy is non-predictive but uses information about the current driving situation provided by modern navigation systems to identify the current road type. Based on this information a set of simplified optimal control problems are solved offline via an indirect shooting algorithm. By relaxation of the problem formulation, the solutions of these optimal control problems can be stored into easily implementable maps. The energy management control is then determined from these maps during vehicle operation using the current road type, the vehicle speed and the required wheel-torque. The strategy is implemented in a dSPACE MicroAutoBox and validated on a near mass-production vehicle. The proposed methodology has shown fuel savings on a real world drive cycle. Additionally, robustness aspects have been considered in a MATLAB/Simulink based simulation environment. The proposed solution of the energy management problem is proven to be real-time applicable and very robust against driver's influence.
Recommended Content
Authors
Topic
Citation
Boehme, T., Sehnke, T., Schultalbers, M., and Jeinsch, T., "Implementation of an Optimal Control Like Energy Management for Hybrid Vehicles based on Driving Profiles," SAE Technical Paper 2014-01-1903, 2014, https://doi.org/10.4271/2014-01-1903.Also In
References
- Schouten , N. J. , Salman , M. A. , Kheir , N. A. Energy management strategies for parallel hybrid vehicles using fuzzy logic Control Engineering Practice 11 171 177 2003
- Back , M. Praediktive Antriebsregelung zum energieoptimalen Betrieb von Hybridfahrzeugen Ph.D dissertation Univerisity of Stuttgart 2005
- Borhan , H. A. , Vahidi , A. , Phillips , M. L. , Kuang , M. L. et al. Predictive Energy Management of a Power-Split Hybrid Electric Vehicle Proceedings of the American Control Conference St. Louis 3970 3976 2009
- Paganelli , G. , Guezennec , Y. , and Rizzoni , G. Optimizing Control Strategy for Hybrid Fuel Cell Vehicle SAE Technical Paper 2002-01-0102 2002 10.4271/2002-01-0102
- Sciaretta , A. , Back , M. , Guzzella , L. Optimal Control of Parallel Hybrid Electric Vehicles IEEE Transactions on Control Systems Technology 12 3 352 363 2004 10.1109/TCST.2004.824312
- Musardo , C. , Rozzoni , G. , Staccia , B. A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management Proceedings of the 44 th IEEE Conference on Decision and Control 1816 1823 2005 10.1109/CDC.2005.1582424
- Bengea , S. C. , DeCarlo , R. A. Optimal and Suboptimal Control of Switching Systems Proceedings of the 42 nd IEEE Conference on Decision and Control Maui, Hawaii 5295 5300 2003 10.1109/CDC.2003.1272479
- Sager , S. Numerical Methods for mixed-integer Optimal Control Problems Ph.D thesis University Heidelberg 2005
- Shaikh , M. S. Optimal control of hybrid systems: theory and algorithms Ph.D thesis Dept. of Elect. and Comp. Eng., McGill University Montreal 2004
- Schori , M. , Boehme , T. J. , Frank , B. , Schultalbers , M. Solution of a Hybrid Optimal Control Problem for a Parallel Hybrid Vehicle Proceedings of the 7 th IFAC Symposium on Advances in Automotive Control Tokyo, Japan 109 114 2013 10.3182/20130904-4-JP-2042.00036
- Schori , M. , Boehme , T. J. , Frank , B. , Schultalbers , M. Calibration of Parallel Hybrid Vehicles Based on Hybrid Optimal Control Theory Proceedings of the 9 th IFAC Symposium on Nonlinear Control Systems Toulouse, France 475 480 2013 10.3182/20130904-3-FR-2041.00086
- Pontryagin , L. S. , Boltyanskii , V. G. , Gamkrelidze , R. V. , Mishchenko , E. F. The Mathematical Theory of Optimal Processes John Wiley & Sons 1962
- Kim , N. , Lee , D. , Cha , S. W. , and Peng , H. Optimal Control of a Plug-In Hybrid Electric Vehicle (PHEV) Based on Driving Patterns International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium 2009
- Kim , N. , Cha , S. , Peng , H. Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principal IEEE Transaction on Control System Technology 1279 1287 2011
- Boehme , T. J. , Schori , M. , Frank , B. , Schultalbers , M et al. A Predictive Energy Management for Hybrid Vehicles Based on Optimal Control Theory Proceedings of the American Control Conference (ACC) Washington, DC 5984 5989 2013
- Chen , J.-S. , Salman , M. A. Learning Energy Management Strategy for Hybrid Electric Vehicles IEEE Conference on Vehicle Power and Propulsion 68 73 2005 10.1109/VPPC.2005.1554593
- Openstreetmap Wiki.openstreetmap.org/wiki/Srtm2Osm
- Ress , C. , Balzer , D. , Bracht , A. , Durekovic , S. et al. Advanced In-Vehicle Applications ADASIS Forum http://www.ertico.com/assets/pdf/ADASISv2-ITS-NY-Paper-Finalv4.pdf
- Boehme , T. , Held , F. , Rollinger , C. , Rabba , H. et al. Application of an Optimal Control Problem to a Trip-Based Energy Management for Electric Vehicles SAE Int. J. Alt. Power 2 1 115 126 2013 10.4271/2013-01-1465