Optimal Sizing of Energy Storage Systems Using Frequency-Separation-Based Energy Management for Fuel Cell Hybrid Electric Vehicles

The current development of fuel cell hybrid electric vehicles is facing many technical challenges, evolving the power sources, the power electronic configuration, the energy management strategy, and the control techniques. Among these challenges rises the optimal sizing issue as fuel cell hybrid ele...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2018-10, Vol.67 (10), p.9337-9346
Main Authors: Snoussi, Jamila, Elghali, Seifeddine Ben, Benbouzid, Mohamed, Mimouni, Mohamed Faouzi
Format: Article
Language:English
Subjects:
Automatic
Batteries
Configuration management
Electric power
electric storage systems
Electric vehicles
Energy management
Energy storage
Engineering Sciences
frequency energy management
fuel cell hybrid electric vehicle
Fuel cells
Hybrid electric vehicles
Hybrid systems
Hydrogen
multi-objective grey wolf optimizer
Multiple objective analysis
Optimal sizing
Power sources
Separation
Sizing
Storage systems
Supercapacitors
Vehicle dynamics
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Summary:The current development of fuel cell hybrid electric vehicles is facing many technical challenges, evolving the power sources, the power electronic configuration, the energy management strategy, and the control techniques. Among these challenges rises the optimal sizing issue as fuel cell hybrid electric vehicle efficiency is highly dependent on the on-board energy storage system. Thus, this paper focuses on the optimal sizing of the hybrid energy storage systems by considering the energy management strategy based on frequency separation. Best solutions are computed for different load profiles through a multi-objective grey wolf optimizer. Then, the obtained results are presented and discussed.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2018.2863185