Development of new improved energy management strategies for electric vehicle battery/supercapacitor hybrid energy storage system

Hybrid energy storage systems (HESS) are used to optimize the performances of the embedded storage system in electric vehicles. The hybridization of the storage system separates energy and power sources, for example, battery and supercapacitor, in order to use their characteristics at their best. Th...

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Bibliographic Details
Published in:Energy efficiency 2018-04, Vol.11 (4), p.823-843
Main Authors: Rizoug, Nassim, Mesbahi, Tedjani, Sadoun, Redha, Bartholomeüs, Patrick, Le Moigne, Philippe
Format: Article
Language:English
Subjects:
Batteries
Computer simulation
Economics and Management
Electric vehicles
Embedded systems
Energy
Energy Efficiency
Energy management
Energy Policy
Energy storage
Engineering Sciences
Environment
Environmental Economics
Hybrid systems
Hybrid vehicles
Optimization
Original Article
Power sources
Renewable and Green Energy
Storage systems
Supercapacitors
Sustainable Development
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Summary:Hybrid energy storage systems (HESS) are used to optimize the performances of the embedded storage system in electric vehicles. The hybridization of the storage system separates energy and power sources, for example, battery and supercapacitor, in order to use their characteristics at their best. This paper deals with the improvement of the size, efficiency, or cost of the embedded source using new management strategies for HESS. In addition, one of the most important advantages of this novel strategies is the improvement of battery lifetime. As a result of this development, significant reductions in the cost and optimizing the performance of electric vehicles can be achieved. Simulation results show that the RMS (root mean square) power of battery is effectively reduced, and the quantity of charge can be considered as main factor in the concepts of embedded energy management. Experimental validation is achieved with a low power test bench, where the battery and supercapacitor are emulated by power electronic devise with electrical models of the storage system implemented in software environment. The experimental results verify the proposed energy management strategies through demonstrating the decreasing of the power constraint applied to the battery.
ISSN:1570-646X
1570-6478
DOI:10.1007/s12053-017-9602-8