Rule-Based Energy Management Strategy for ...
Document type :
Communication dans un congrès avec actes
Permalink :
Title :
Rule-Based Energy Management Strategy for a Parallel Hybrid Electric Vehicle Deduced from Dynamic Programming
Author(s) :
Pam, Abdoulaye [Auteur]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Sherpa Engineering
Bouscayrol, Alain [Auteur]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Fiani, Philippe [Auteur]
Sherpa Engineering
Noth, Frederic [Auteur]
Sherpa Engineering
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Sherpa Engineering
Bouscayrol, Alain [Auteur]

Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Fiani, Philippe [Auteur]
Sherpa Engineering
Noth, Frederic [Auteur]
Sherpa Engineering
Conference title :
2017 IEEE Vehicle Power and Propulsion Conference (VPPC)
City :
Belfort
Country :
France
Start date of the conference :
2017-12-11
Book title :
2017 IEEE Vehicle Power and Propulsion Conference (VPPC)
Publisher :
IEEE
HAL domain(s) :
Sciences de l'ingénieur [physics]/Energie électrique
English abstract : [en]
To ensure the highest energy efficiency of Hybrid Electric Vehicles, optimizing their Energy Management Strategy (EMS) is required. Unfortunately, most of the methods for optimal EMS like Dynamic Programming (DP) cannot ...
Show more >To ensure the highest energy efficiency of Hybrid Electric Vehicles, optimizing their Energy Management Strategy (EMS) is required. Unfortunately, most of the methods for optimal EMS like Dynamic Programming (DP) cannot be used in real time. Rule-based EMS are well known to be easily usable in real time. The objective of this paper is to achieve a rule-based EMS of a parallel Hybrid Electric Vehicle, deduced from DP. In that aims, Energetic Macroscopic Representation of the powertrain is used to develop a backward model.Show less >
Show more >To ensure the highest energy efficiency of Hybrid Electric Vehicles, optimizing their Energy Management Strategy (EMS) is required. Unfortunately, most of the methods for optimal EMS like Dynamic Programming (DP) cannot be used in real time. Rule-based EMS are well known to be easily usable in real time. The objective of this paper is to achieve a rule-based EMS of a parallel Hybrid Electric Vehicle, deduced from DP. In that aims, Energetic Macroscopic Representation of the powertrain is used to develop a backward model.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Research team(s) :
Équipe Commande
Submission date :
2020-05-15T13:28:32Z
2022-03-10T13:00:18Z
2022-03-10T13:00:18Z