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Equivalent Circuit Parameters Estimation for PEM Fuel Cell Using RBF Neural Network and Enhanced Particle Swarm Optimization
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes an equivalent circuit parameters measurement and estimation method for proton exchange membrane fuel cell (PEMFC).
The parameters measurement method is based on current loading technique; in current loading test a no load PEMFC is suddenly turned on to obtain the waveform of the transient terminal voltage.
After the equivalent circuit parameters were measured, a hybrid method that combines a radial basis function (RBF) neural network and enhanced particle swarm optimization (EPSO) algorithm is further employed for the equivalent circuit parameters estimation.
The RBF neural network is adopted such that the estimation problem can be effectively processed when the considered data have different features and ranges.
In the hybrid method, EPSO algorithm is used to tune the connection weights, the centers, and the widths of RBF neural network.
Together with the current loading technique, the proposed hybrid estimation method can effectively estimate the equivalent circuit parameters of PEMFC.
To verify the proposed approach, experiments were conducted to demonstrate the equivalent circuit parameters estimation of PEMFC.
A practical PEMFC stack was purposely created to produce the common current loading activities of PEMFC for the experiments.
The practical results of the proposed method were studied in accordance with the conditions for different loading conditions.
American Psychological Association (APA)
Chang, Wen-Yeau. 2013. Equivalent Circuit Parameters Estimation for PEM Fuel Cell Using RBF Neural Network and Enhanced Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010288
Modern Language Association (MLA)
Chang, Wen-Yeau. Equivalent Circuit Parameters Estimation for PEM Fuel Cell Using RBF Neural Network and Enhanced Particle Swarm Optimization. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1010288
American Medical Association (AMA)
Chang, Wen-Yeau. Equivalent Circuit Parameters Estimation for PEM Fuel Cell Using RBF Neural Network and Enhanced Particle Swarm Optimization. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010288
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010288