Modeling and Parameters Identification of PEM Fuel Cell for Application to a Hybrid Vehicle System

Authors

  • Mohamed Sélmene Ben Yahia Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.
  • Wahib Andari Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.
  • Hatem Allagui Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.
  • Abdelkader Mami Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.

DOI:

https://doi.org/10.9734/bpi/rtcps/v8/1819B

Keywords:

Modelling, PEM fuel cell, parameters identification, hybrid vehicle system, genetic algorithm, least square

Abstract

In this chapter, we are interested in the study of instrumentation dedicated to the fuel cell especially that of the proton exchange membrane type PEM by measuring the complex impedance in order to anticipate the defects and avoid the severe problems of the stack such as the drowned or the reverse phenomenon. Thus, this work reviews the model description of the vehicle with a focus on architecture and modelling of the Powertrain. The power system of the fuel cell vehicle includes fuel cell system, DC/DC converter, the three phase inverter and the PM synchronous motor. Our Target is to minimize the hydrogen consumption of a Proton Exchange Membrane (PEM) Fuel Cell. In order to perform this goal, the system is controlled through an Energy Management Strategy (EMS), to minimize the fuel cell power demand transitions and therefore improves its durability. The proposed Energy management strategy is evaluated for the NEDC (New European Driving Cycle). The obtained results demonstrate the effectiveness of the proposed energy management strategy in reduction of the hydrogen consumption.

Published

2022-03-04

How to Cite

Mohamed Sélmene Ben Yahia, Wahib Andari, Hatem Allagui, & Abdelkader Mami. (2022). Modeling and Parameters Identification of PEM Fuel Cell for Application to a Hybrid Vehicle System . Research Trends and Challenges in Physical Science Vol. 8, 40–60. https://doi.org/10.9734/bpi/rtcps/v8/1819B