This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Control Strategy Optimization for a Series Hybrid Vehicle
Technical Paper
2006-01-0663
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper describes the development of an operating strategy for a series hybrid vehicle. The vehicle's powertrain consists of an Engine-Generator Unit (EGU), a buffer for energy storage (such as an electric battery), and a traction motor driving the wheels. The control strategy is developed so that to ensure gradual operation of the EGU along the steady-state Optimal Operating Points Line (OOP-Line) in the engine speed-torque map. The strategy functions as follows. It first determines a set-point for the state of charge of the energy buffer to minimize the probability of either discharging or overcharging it. This probability is estimated based on the statistics derived from the past history of the state of charge. Based on the difference between this set-point and estimated state of charge, the strategy calculates the power demand from the EGU which is then translated into engine torque and engine rotation speed demand so that the engine operation is maintained on the OOP-Line while delivering the requested power. The torque demand is delivered by the engine management system through the control of an engine electronic throttle while the generator voltage is adjusted to control the engine speed to the desired value. A simulation study, based on a control-oriented model of a series hybrid powertrain, is reported to illustrate the basic ideas. We also demonstrate via theoretical analysis that by periodically modulating the power output of the EGU the fuel consumption can be improved in the region where this fuel consumption is a concave function of the EGU power output. The series hybrid powertrain configuration is also relevant for fuel cells applications, and some of our considerations also extend to that case.
Recommended Content
Authors
Citation
Konev, A., Lezhnev, L., and Kolmanovsky, I., "Control Strategy Optimization for a Series Hybrid Vehicle," SAE Technical Paper 2006-01-0663, 2006, https://doi.org/10.4271/2006-01-0663.Also In
References
- Affani A. Bellini A. Concari C. Franceschini G. Lorenzani E. Tassoni C. EV Battery State of Charge: Neural Network Based Estimation Proceedings of IEEE Electric Machines and Drives Conference 2 684 688 2003
- Anatone M. Cipollone R. Donati A. Sciarretta A. Control-Oriented Modeling and Fuel Optimal Control of a Series Hybrid Bus SAE Paper 2005-01-1163
- Bernstein D.S. Gilbert E.G. Optimal Periodic Control: The π-test revisited IEEE Transactions on Automatic Control AC-25 4 1980
- Bhangu B. Bentley P. Stone D. Bingham C. Nonlinear Observers for Predicting State-of-Charge and State-of-Health of Lead-Acid Batteries for Hybrid-Electric Vehicles IEEE Transactions on Vehicular Technology 54 3 2005
- Brahma A. Guezennec Y. Rizzoni G. Optimal Energy Management in Series Hybrid Vehicle Proceedings of 2000 American Control Conference Chicago, IL 60 64
- Hochgraf C. Ryan M. Wiegman H. Engine Control Strategy for a Series Hybrid Electric Vehicle Incorporating Load-Leveling and Computer Controlled Energy Management SAE Paper 960230 1996
- Kolmanovsky I. Siverguina I. Lygoe B. Optimization of Powertrain Operating Policies For Feasibility Assessment and Calibration: Stochastic Dynamic Programming Approach,” Proceedings of 2002 American Control Conference 1425 1430 Anchorage, AK 8-10 May 2002
- Lin C. Peng H. Grizzle J. A Stochastic Control Strategy for Hybrid Electric Vehicles,” Proceedings of 2004 American Control Conference Boston, MA.
- Pukrushpan J.T. Peng H. Stefanopoulou A. Control-oriented Modeling and Analysis of Fuel Cell Breathing IEEE Control Systems Magazine 24 2 30 46 2004
- Pukrushpan J.T. Stefanopoulou A. Peng H. Control Of Fuel Cell Power Systems: Principles, Modeling, Analysis, and Feedback Design Springer 2004
- Rizzo G. Pianese C. A Stochastic Approach For Optimization of Open Loop Engine Control System Annals of Operation Research 31 545 568 1991
- Sun J. Kolmanovsky I. Load Governor for Fuel Cell Oxygen Starvation Protection: A Robust Nonlinear Reference Governor Approach IEEE Transactions on Control Systems Technology 13 6 2005
- Vahidi A. Kolmanovsky I. Stefanopoulou A. Constraint Management in Fuel Cell Systems: A Fast Reference Governor Approach Proceedings of 2005 American Control Conference Portland, Oregon