Design and optimization of bio-inspired wave-like channel for a PEM fuel cell applying genetic algorithm

Energy ◽  
2020 ◽  
Vol 192 ◽  
pp. 116670 ◽  
Author(s):  
Genchun Cai ◽  
Yunmin Liang ◽  
Zhichun Liu ◽  
Wei Liu
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Design And Optimization

scholarly journals Realisation of Optimal Parameters of PEM Fuel Cell Using Simple Genetic Algorithm (SGA) and Simulink Modeling

2019 ◽  
Vol 8 (6) ◽  
pp. 1542-1548 ◽  
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Absolute Error ◽  
Parameter Extraction ◽  
Cell Parameters ◽  
Simple Genetic Algorithm ◽  
Fitting Method ◽  
Proposed Model ◽  
Curve Fitting Method

A methodology to solve parameter extraction of PEM Fuel cell by an optimisation process using simple genetic algorithm and Simulink is proposed. The results are validated using the traditional curve fitting method where in the initial values are compared with the existing curve for its convergence and exactitude. In this work the modelling and extensive simulation of the PEM Fuel cell has been undertaken using MATLAB-SIMULINK. The steps have been elaborated further in order to explain the incorporation and efficacy of Genetic algorithm codes in FC model. Simple Genetic Algorithm (SGA) is a reliable methodology towards optimisation of fuel cell parameters. It is inferred from the simulated results that the process is precise and absolute error is generated to showcase the subtleness of the algorithm. The proposed model can be utilised to study and develop steady state performances of PEMFC stacks

Toward Developing a Computational Capability for PEM Fuel Cell Design and Optimization

2010 ◽  
Author(s):  
Ken S. Chen ◽  
Brian Carnes ◽  
Fangming Jiang ◽  
Gang Luo ◽  
Chao-Yang Wang
Keyword(s):  
Fuel Cell ◽  
Cell Model ◽  
Polymer Electrolyte Membrane ◽  
Three Dimensional ◽  
Pem Fuel Cell ◽  
Department Of Energy ◽  
Cell Design ◽  
Two Phase ◽  
Design And Optimization ◽  
Computational Capability

In this paper, we report the progress made in our project recently funded by the US Department of Energy (DOE) toward developing a computational capability, which includes a two-phase, three-dimensional PEM (polymer electrolyte membrane) fuel cell model and its coupling with DAKOTA (a design and optimization toolkit developed and being enhanced by Sandia National Laboratories). We first present a brief literature survey in which the prominent/notable PEM fuel cell models developed by various researchers or groups are reviewed. Next, we describe the two-phase, three-dimensional PEM fuel cell model being developed, tested, and later validated by experimental data. Results from case studies are presented to illustrate the utility of our comprehensive, integrated cell model. The coupling between the PEM fuel cell model and DAKOTA is briefly discussed. Our efforts in this DOE-funded project are focused on developing a validated computational capability that can be employed for PEM fuel cell design and optimization.

scholarly journals Comparative study of PEM fuel cell parameter extraction using Genetic Algorithm

2015 ◽  
Vol 6 (4) ◽  
pp. 1187-1194 ◽  
Author(s):  
N. Rajasekar ◽  
Basil Jacob ◽  
Karthik Balasubramanian ◽  
K. Priya ◽  
K. Sangeetha ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Comparative Study ◽  
Cell Parameter ◽  
Pem Fuel Cell ◽  
Parameter Extraction

scholarly journals Fuel Cell Impedance Model Parameters Optimization using a Genetic Algorithm

2017 ◽  
Vol 7 (1) ◽  
pp. 184
Author(s):  
Mohamed Sélmene Ben Yahia ◽  
Hatem Allagui ◽  
Arafet Bouaicha ◽  
Abdelkader Mami
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Impedance Spectroscopy ◽  
Pem Fuel Cell ◽  
Complex Model ◽  
Parameters Optimization ◽  
Model Parameters ◽  
Good Precision ◽  
Impedance Model ◽  
Cell Impedance

<p>The objective of this paper is the PEM fuel cell impedance model parameters<strong> </strong>identification. This work is a part of a larger work which is the diagnosis of the fuel cell which deals with the optimization and the parameters identification of the impedance complex model of the Nexa Ballard 1200 W PEM fuel cell. The method used for the identification is a sample genetic algorithm and the proposed impedance model is based on electric parameters, which will be found from a sweeping of well determined frequency bands. In fact, the frequency spectrum is divided into bands according to the behavior of the fuel cell. So, this work is considered a first in the field of impedance spectroscopy So, this work is considered a first in the field of impedance spectroscopy. Indeed, the identification using genetic algorithm requires experimental measures of the fuel cell impedance to optimize and identify the impedance model parameters values. This method is characterized by a good precision compared to the numeric methods. The obtained results prove the effectiveness of this approach.</p>

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