Predictive online control for hybrids: global optimality,robustness and realtime capability

In this paper an approach for the real time optimal control of vehicles with more than one source for providing traction power (e.g. HEVs) is presented. After a short classification of existing approaches and their respective characteristics the new modular concept as a combination of two algorithms is introduced. For the basic online management an equivalent consumption minimization strategy (ECMS) is implemented. The adaption towards changing driving conditions is realized by an independent calculation and adjustment of the main decision criterion of the ECMS towards the predicted operational profile using a calculation time optimized dynamic programming approach.

Disciplines : Transports terrestres. Transports routiers,Environnement,Ressources naturelles et énergie
Mots-clés : électromagnétisme,énergie,énergie renouvelable,environnement,industrie,innovation,perspective énergétique,pollution,qualité de l'air,ressources énergétiques,transport,voiture
Type de document : image en mouvement
Type de ressource : lecture
Niveau : higher education,master
Publics visés : learner,teacher
Auteurs ou éditeurs : Steffen Kutter,Lille1.tv - Université Lille 1