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Implementation of energy management strategy of hybrid power source for electrical vehicle.

Authors :
Marzougui, Hajer
Kadri, Ameni
Martin, Jean-Philippe
Amari, Mansour
Pierfederici, Serge
Bacha, Faouzi
Source :
Energy Conversion & Management. Sep2019, Vol. 195, p830-843. 14p.
Publication Year :
2019

Abstract

• An energy management of FC/SC/Bat hybrid vehicle is proposed. • The energy management strategy is based on a combination between three methods. • An interleaved boost converter and two bidirectional buck-boost converters are used. • The fast source (SC) is used to control the energy stored in the DC bus. • The experimental results exhibit the effectiveness of the proposed strategy. Managing the energy is one of the most important issues for the efficiency of vehicular applications using hybrid electric power systems. This paper deals with an analysis of an energy management for hybrid power system, which consists of fuel cell, ultra-capacitor and battery and dedicated to electrical vehicles. Thus, an energy management method is applied in order to split the energy flow between the three used sources. This strategy is based on a combination of three control methods; a fuzzy logic control, a flatness control and rule-based algorithm. For the fuzzy logic, the main idea is inspired from rule-based algorithms except that it is more flexible and less aggressive. The second technic is an innovative control using the flatness property for a Fuel cell/ supercapacitor/ Battery hybrid power system. For the rules based algorithm, it uses a supercapacitor state-of-charge control principle. Then, an experimental validation is done for the energy management method to show the efficiency of the proposed control strategy in term of the well share of the energy between sources to satisfy the load demand. A dSpace real-time card is used for management algorithm implementation and data acquisition. The obtained experimental results prove the efficiency and the validity of the proposed supervisor. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01968904
Volume :
195
Database :
Academic Search Index
Journal :
Energy Conversion & Management
Publication Type :
Academic Journal
Accession number :
137825813
Full Text :
https://doi.org/10.1016/j.enconman.2019.05.037