Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition

Résumé

This article presents a novel approach to design an optimum energy management for a series plug-in hybrid electric vehicle based on driving cycle recognition. Thanks to an intensive study of driver habits, an important part of cycles is predictable. Optimized energy management can be developed for representative cycles via DP. Those results can be applied to the same cycle with slight adaptations thereafter with quality factors above 98%.
Fichier principal
Vignette du fichier
Joud2017.pdf (173.2 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03021702 , version 1 (05-01-2022)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Loïc Joud, Daniela Chrenko, Alan Keromnes, Rui da Silva, Luis Le Moyne. Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition. IEEE Vehicle Power and Propulsion Conference (VPPC 2017), Dec 2017, Belfort, France. ⟨10.1109/VPPC.2017.8331052⟩. ⟨hal-03021702⟩
41 Consultations
32 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More