Predictive energy management for hybrid vehicle

Hybrid vehicle control strategies are algorithms devoted to the energy management. At each sampling time they choose the powertrain operating point in order to minimize a criterion, usually the fuel consumption. In simulation, an optimization algorithm can be derived from the minimum principle. For...

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Bibliographic Details
Published in:Control engineering practice 2012-04, Vol.20 (4), p.408-420
Main Authors: Kermani, S., Delprat, S., Guerra, T.M., Trigui, R., Jeanneret, B.
Format: Article
Language:English
Subjects:
Algorithms
Driving conditions
Electric power
Energy management
Engineering Sciences
Hybrid electric vehicle
Hybrid vehicles
Mathematical models
Minimum principle
Optimal control
Optimization
Real time
Real time control
Strategy
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Summary:Hybrid vehicle control strategies are algorithms devoted to the energy management. At each sampling time they choose the powertrain operating point in order to minimize a criterion, usually the fuel consumption. In simulation, an optimization algorithm can be derived from the minimum principle. For real time control, a Model Predictive Control scheme can be used but it requires the prediction of the future driving conditions. Their time ordered prediction is very difficult. Moreover, if the optimal costate is constant, only the prediction of their distribution is sufficient and allows deriving a real time control strategy. Experimental results are provided to illustrate the benefits of this approach.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2011.12.001