Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Controlling Fuel Cells with Chaotic Models

Author : Rafael M Gutierrez 1 Jose L Cruz 2 Andres I Hernandez 3 Marie C Pera 4

Date of Publication :11th April 2023

Abstract: The Proton Exchange Membrane Fuel Cell (PEMFC) is the most widely fuel cell used today despite its limitations of efficiency and lifetime. Since it has been proven that the PEMFC voltage shows chaotic behavior under certain operating conditions, the development of nonlinear models with chaotic solution should be an important new tool to improve their control and therefore the efficiency, effectivity and pertinent applications of this kind of fuel cells. In this work we propose a procedure to build nonlinear models from time series of the voltage generated by PEMFC at different operational conditions. The procedure starts with a qualitative and quantitative identification of chaotic content of a given time series, continuous highlighting such chaotic content by a feedback procedure of digital filters and ends by capturing and controlling the chaotic behavior with a 3D nonlinear dynamical system with chaotic solutions. When the operation parameters of the PEMFC correspond to a chaotic behavior of the voltage, the fuel cell achieves a robust dynamical equilibrium where the efficiency and durability can be increased.

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