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Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

Author

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  • Farouk Odeim

    (Chair of Energy Technology, University of Duisburg-Essen, Lotharstr. 1, 47057 Duisburg, Germany)

  • Jürgen Roes

    (Chair of Energy Technology, University of Duisburg-Essen, Lotharstr. 1, 47057 Duisburg, Germany)

  • Angelika Heinzel

    (Chair of Energy Technology, University of Duisburg-Essen, Lotharstr. 1, 47057 Duisburg, Germany)

Abstract

In this paper, an experimental fuel cell/battery/supercapacitor hybrid system is investigated in terms of modeling and power management design and optimization. The power management strategy is designed based on the role that should be played by each component of the hybrid power source. The supercapacitor is responsible for the peak power demands. The battery assists the supercapacitor in fulfilling the transient power demand by controlling its state-of-energy, whereas the fuel cell system, with its slow dynamics, controls the state-of-charge of the battery. The parameters of the power management strategy are optimized by a genetic algorithm and Pareto front analysis in a framework of multi-objective optimization, taking into account the hydrogen consumption, the battery loading and the acceleration performance. The optimization results are validated on a test bench composed of a fuel cell system (1.2 kW, 26 V), lithium polymer battery (30 Ah, 37 V), and a supercapacitor (167 F, 48 V).

Suggested Citation

  • Farouk Odeim & Jürgen Roes & Angelika Heinzel, 2015. "Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System," Energies, MDPI, vol. 8(7), pages 1-26, June.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:7:p:6302-6327:d:51640
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