Portable direct hydrogen fed PEM fuel cell model and experimental verification

The gas diffusion layer (GDL) in a proton exchange membrane (PEM) fuel cell has a porous structure with anisotropic and non-homogenous properties. The objective of this research is to develop a PEM fuel cell model where transport phenomena in the GDL are simulated based on GDL’s pore structure. The GDL pore structure was obtained by using a scanning electron microscope (SEM). GDL’s cross-section view instead of surface view was scanned under the SEM. The SEM image was then processed using an image processing tool to obtain a two dimensional computational domain. This pore structure model was then coupled with an electrochemical model to predict the overall fuel cell performance. The transport phenomena in the GDL were simulated by solving the Navier-Stokes equation directly in the GDL pore structure. By comparing with the testing data, the fuel cell model predicted a reasonable fuel cell polarization curve. The pore structure model was further used to calculate the GDL permeability. The numerically predicted permeability was close to the value published in the literature. A future application of the current pore structure model is to predict GDL thermal and electric related properties.

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Passivity based control of a distributed PEM fuel cell model

Journal of Process Control ◽

10.1016/j.jprocont.2009.11.008 ◽

2010 ◽

Vol 20 (3) ◽

pp. 292-313 ◽

Cited By ~ 19

Author(s):

Michael Mangold ◽

Andreas Bück ◽

Richard Hanke-Rauschenbach

Keyword(s):

Fuel Cell ◽

Cell Model ◽

Pem Fuel Cell ◽

Passivity Based Control

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A three-dimensional PEM fuel cell model with consistent treatment of water transport in MEA

Journal of Power Sources ◽

10.1016/j.jpowsour.2006.07.022 ◽

2006 ◽

Vol 162 (1) ◽

pp. 426-435 ◽

Cited By ~ 57

Author(s):

Hua Meng

Keyword(s):

Fuel Cell ◽

Water Transport ◽

Cell Model ◽

Three Dimensional ◽

Pem Fuel Cell ◽

Consistent Treatment

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Pore Structure Modeling of Flow in Gas Diffusion Layers of Proton Exchange Membrane Fuel Cells

Journal of Fuel Cell Science and Technology ◽

10.1115/1.4005613 ◽

2012 ◽

Vol 9 (2) ◽

Cited By ~ 1

Author(s):

Z. Shi ◽

X. Wang

Keyword(s):

Fuel Cell ◽

Pore Structure ◽

Proton Exchange Membrane ◽

Cell Model ◽

Transport Phenomena ◽

Pem Fuel Cell ◽

Gas Diffusion ◽

Proton Exchange ◽

Structure Model ◽

Exchange Membrane

The gas diffusion layer (GDL) in a proton exchange membrane (PEM) fuel cell has a porous structure with anisotropic and non-homogenous properties. The objective of this research is to develop a PEM fuel cell model where transport phenomena in the GDL are simulated based on GDL’s pore structure. The GDL pore structure was obtained by using a scanning electron microscope (SEM). GDL’s cross-section view instead of surface view was scanned under the SEM. The SEM image was then processed using an image processing tool to obtain a two-dimensional computational domain. This pore structure model was then coupled with an electrochemical model to predict the overall fuel cell performance. The transport phenomena in the GDL were simulated by solving the Navier-Stokes equation directly in the GDL pore structure. By comparing with the testing data, the fuel cell model predicted a reasonable fuel cell polarization curve. The pore structure model was further used to calculate the GDL permeability. The numerically predicted permeability was close to the value published in the literature. A future application of the current pore structure model is to predict GDL thermal and electric related properties.

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A PEM Fuel-Cell Model Featuring Oxygen-Excess-Ratio Estimation and Power-Electronics Interaction

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2009.2026363 ◽

2010 ◽

Vol 57 (6) ◽

pp. 1914-1924 ◽

Cited By ~ 62

Author(s):

Carlos Andres Ramos-Paja ◽

Roberto Giral ◽

Luis Martinez-Salamero ◽

Jenny Romano ◽

Alfonso Romero ◽

...

Keyword(s):

Fuel Cell ◽

Power Electronics ◽

Cell Model ◽

Pem Fuel Cell ◽

Ratio Estimation ◽

Oxygen Excess ◽

Oxygen Excess Ratio

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Tuning of PEM fuel cell model parameters for prediction of steady state and dynamic performance under various operating conditions

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2012.11.102 ◽

2013 ◽

Vol 38 (5) ◽

pp. 2370-2386 ◽

Cited By ~ 19

Author(s):

K. Latha ◽

S. Vidhya ◽

B. Umamaheswari ◽

N. Rajalakshmi ◽

K.S. Dhathathreyan

Keyword(s):

Steady State ◽

Fuel Cell ◽

Cell Model ◽

Dynamic Performance ◽

Pem Fuel Cell ◽

Operating Conditions ◽

Model Parameters

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Thermal and Electrical Parameter Identification of a Proton Exchange Membrane Fuel Cell Using Genetic Algorithm

Energies ◽

10.3390/en11082099 ◽

2018 ◽

Vol 11 (8) ◽

pp. 2099 ◽

Cited By ~ 11

Author(s):

H. Ariza ◽

Antonio Correcher ◽

Carlos Sánchez ◽

Ángel Pérez-Navarro ◽

Emilio García

Keyword(s):

Fuel Cell ◽

Proton Exchange Membrane ◽

Cell Model ◽

Electrical Parameter ◽

Real Data ◽

Pem Fuel Cell ◽

Proton Exchange ◽

Physical Models ◽

Real Behavior ◽

Exchange Membrane

Proton Exchange Membrane Fuel Cell (PEMFC) fuel cells is a technology successfully used in the production of energy from hydrogen, allowing the use of hydrogen as an energy vector. It is scalable for stationary and mobile applications. However, the technology demands more research. An important research topic is fault diagnosis and condition monitoring to improve the life and the efficiency and to reduce the operation costs of PEMFC devices. Consequently, there is a need of physical models that allow deep analysis. These models must be accurate enough to represent the PEMFC behavior and to allow the identification of different internal signals of a PEM fuel cell. This work presents a PEM fuel cell model that uses the output temperature in a closed loop, so it can represent the thermal and the electrical behavior. The model is used to represent a Nexa Ballard 1.2 kW fuel cell; therefore, it is necessary to fit the coefficients to represent the real behavior. Five optimization algorithms were tested to fit the model, three of them taken from literature and two proposed in this work. Finally, the model with the identified parameters was validated with real data.

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Two-Stage Design of Linear Feedback Controllers for a Proton Exchange Membrane Fuel Cell

Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems ◽

10.1115/dscc2015-9973 ◽

2015 ◽

Cited By ~ 2

Author(s):

Verica Radisavljevic-Gajic ◽

Patrick Rose ◽

Garrett M. Clayton

Keyword(s):

Fuel Cell ◽

Time Scale ◽

Proton Exchange Membrane ◽

Cell Model ◽

Pem Fuel Cell ◽

Proton Exchange ◽

Linear Feedback ◽

Fast Time ◽

State Variables ◽

Exchange Membrane

The paper considers the eighth-order proton exchange membrane (PEM) fuel-cell mathematical model and shows that it has a multi-time scale property, indicating that the dynamics of three model state space variables operate in the slow time scale and the dynamics of five state variables operate in the fast time scale. This multi-scale nature allows independent controllers to be designed in slow and fast time scales using only corresponding reduced-order slow (of dimension three) and fast (of dimension five) sub-models. The presented design facilitates the design of hybrid controllers, for example, the linear-quadratic optimal controller for the slow subsystem and the eigenvalue assignment controller for the fast subsystem. The design efficiency and its high accuracy are demonstrated via simulation on the considered PEM fuel cell model.

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