Modeling of Nexa-1.2kW Proton Exchange Membrane Fuel Cell Power Supply Using Swarm Intelligence

  • Tata Venkat DixitEmail author
  • Anamika Yadav
  • Shubhrata Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 711)


The heuristic approach of simulator design based on swarm intelligence of Nexa-1.2kW Ballard proton exchange membrane fuel cell (PEMFC) has been presented. The parameters of the Nexa-1.2kW PEMFC simulator are determined using particle swarm optimization (PSO) algorithm. The results of PEMFC simulator are experimentally verified. Further, the discrete PI controlled SEPIC converter has been used for interconnecting a fuel cell to a load. The fuel cell simulator, converter integration, and its control are implemented in MATLAB/SIMULINK environment. Finally, the effect of load variation and stack temperature on fuel cell power conditioning unit has been investigated. The rise in stack temperature results in slight reduction in cell current and considerable rise in terminal voltage of the fuel cell.


Nexa-1.2kW PEM fuel cell SEPIC PSO 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Tata Venkat Dixit
    • 1
    Email author
  • Anamika Yadav
    • 1
  • Shubhrata Gupta
    • 1
  1. 1.Department of Electrical EngineeringNational Institute of TechnologyRaipurIndia

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