Real-Time Energy Management of ...
Document type :
Article dans une revue scientifique
DOI :
Permalink :
Title :
Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle
Author(s) :
Nguyen, Bao-Huy [Auteur]
Université de Sherbrooke [UdeS]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
German, Ronan [Auteur]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Trovao, Joao Pedro F. [Auteur]
Bouscayrol, Alain [Auteur]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Université de Sherbrooke [UdeS]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
German, Ronan [Auteur]

Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Trovao, Joao Pedro F. [Auteur]
Bouscayrol, Alain [Auteur]

Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Journal title :
IEEE Transactions on Vehicular Technology
Abbreviated title :
IEEE Trans. Veh. Technol.
Volume number :
68
Pages :
203-212
Publisher :
Institute of Electrical and Electronics Engineers (IEEE)
Publication date :
2019-01
ISSN :
0018-9545
English keyword(s) :
Energetic macroscopic representation
energy storage system
hardware–in–the–loop
optimal control
energy storage system
hardware–in–the–loop
optimal control
HAL domain(s) :
Sciences de l'ingénieur [physics]/Energie électrique
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]
English abstract : [en]
The combination of batteries and supercapacitors is promising in electric vehicles context to minimize battery aging. Such a system needs an energy management strategy (EMS) that distributes energy in real-time for real ...
Show more >The combination of batteries and supercapacitors is promising in electric vehicles context to minimize battery aging. Such a system needs an energy management strategy (EMS) that distributes energy in real-time for real driving cycles. Pontryagin’s minimum principle (PMP) is widely used in adaptive forms to develop real-time optimization-based EMSs thanks to its analytical approach. This methodology leads to an off-line optimal solution which requires an extra adaptive mechanism for real-time applications. In this paper, a simplification of the PMP method is proposed to avoid the adaptation mechanism in real-time. This new EMS is compared to well-known conventional strategies by simulation. Furthermore, experimental results are provided to assess the real-time operation of the proposed EMS. Simulation and experimental results prove the advantages of the proposed approach by a reduction up to 50% of the batteries rms current on a real-world driving cycle compared to a battery-only EV.Show less >
Show more >The combination of batteries and supercapacitors is promising in electric vehicles context to minimize battery aging. Such a system needs an energy management strategy (EMS) that distributes energy in real-time for real driving cycles. Pontryagin’s minimum principle (PMP) is widely used in adaptive forms to develop real-time optimization-based EMSs thanks to its analytical approach. This methodology leads to an off-line optimal solution which requires an extra adaptive mechanism for real-time applications. In this paper, a simplification of the PMP method is proposed to avoid the adaptation mechanism in real-time. This new EMS is compared to well-known conventional strategies by simulation. Furthermore, experimental results are provided to assess the real-time operation of the proposed EMS. Simulation and experimental results prove the advantages of the proposed approach by a reduction up to 50% of the batteries rms current on a real-world driving cycle compared to a battery-only EV.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
Centrale Lille
Arts et Métiers Sciences et Technologies
Junia HEI
Centrale Lille
Arts et Métiers Sciences et Technologies
Junia HEI
Research team(s) :
Équipe Commande
Submission date :
2023-12-31T17:45:57Z
2024-02-06T10:20:39Z
2024-02-06T10:20:39Z
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