Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis - Université d'Orléans Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Intelligent Vehicles Année : 2019

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Résumé

The focus of this work is to exploit the potential of model predictive control for the energy management of hybrid electric vehicles. The global framework covers the power distribution between the internal combustion engine and the electric machine(s) in order to minimize the fuel consumption. Current technologies allow the forecast of speed profile and road grade making predictive control a viable solution. The gears within the prediction model are assumed to be pre-calculated at a higher level and therefore, only the torque split problem needs to be addressed by the energy management mechanism. Engine stop can improve fuel gain which is even more noticeable for hybrid vehicles and hence, its inclusion is naturally considered in the present study. Furthermore, optimization of the speed profile is addressed by introducing the freewheeling functionality.
Fichier principal
Vignette du fichier
predictive_control_framework_for_hev.pdf (827.88 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02461608 , version 1 (08-04-2020)

Identifiants

Citer

Nicoleta Stroe, Sorin Olaru, Guillaume Colin, Karim Ben-Cherif, Yann Chamaillard. Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis. IEEE Transactions on Intelligent Vehicles, 2019, 4 (2), pp.220-231. ⟨10.1109/TIV.2019.2904416⟩. ⟨hal-02461608⟩
64 Consultations
160 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More