Skip to Main content Skip to Navigation
Journal articles

Predictive energy management for hybrid vehicle

Abstract : 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.
Document type :
Journal articles
Complete list of metadata
Contributor : Ifsttar Cadic Connect in order to contact the contributor
Submitted on : Tuesday, October 29, 2013 - 8:28:21 AM
Last modification on : Tuesday, October 19, 2021 - 6:38:20 PM




Saida Kermani, Sebastien Delprat, Thierry-Marie Guerra, Rochdi Trigui, Bruno Jeanneret. Predictive energy management for hybrid vehicle. Control Engineering Practice, Elsevier, 2012, 20 (4), pp. 408-420. ⟨10.1016/j.conengprac.2011.12.001⟩. ⟨hal-00877628⟩



Les métriques sont temporairement indisponibles