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    Proposed hysteresis energy management strategy based on storage system efficiency for hybrid electric vehicle
    (Elsevier, 2022) Aouzellag, Haroune; Amrouche, Bessam; Iffouzar, Koussaila; Aouzellag, Djamal
    Varieties of energy management strategies have been developed to control the flow of energy between the traction system and different sources. Many of these control techniques consider as inputs variables the state of charge of the energy storage system (ESS), and the required power by the vehicle to provide the optimal fuel cell power reference. This paper proposes an energy management strategy that gathers the state of charge and the required power using the expression of the ESS converter efficiency as a sole input variable of the energy management. The latter is based on hysteresis control that allows generating the reference power of the fuel cell for each level of the converter efficiency. The topology of the electric vehicle is composed with the proton exchange membrane fuel cell as the main source and ultra-capacitor devices as the auxiliary source. Simulation results show that the proposed strategy allows energy distribution between the sources and the traction system while respecting the constraints on the different systems. Therefore, the energy consumption is reduced by using the fuel cell system and the storage converter on their high efficiencies
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    Strategy for Optimization of Energy Management Based on Fuzzy Logic in an FCEV with a Contribution of a Photovoltaic Source
    (Springer, 2021) Belhad, Said; Ghedams, Kaci; Larabi, Zina
    In this article, we will study how to increase fuel economy, in a fuel cell/battery (FC + B) and fuel cell/battery/photovoltaic source (FC + B + PV) configuration in a hybrid vehicle with fuel cell. Hybrid vehicle models (FC + B) and (FC + B + PV) will be designed under Simulink/Matlab use a new hybrid approach based on the battery’s soc based on the availability of sunshine so the availability of the PV source. The results show that the proposed control of this strategy can meet the energy needs for good optimization in energy management. Comprehensive comparisons of this energy management strategy based on the control and monitoring of the fuel consumption of the fuel cell according to the chosen driving cycles. Therefore, the proposed strategy will provide a novel approach for advanced of energy management optimization system.