Title :
Dynamic Modeling and Simulation of PEM Fuel Cells Based on BP Neural Network
Author :
Xu, Lamei ; Xiao, Jinsheng
Author_Institution :
Sch. of Autom., Wuhan Univ. of Technol., Wuhan, China
Abstract :
The operation principles of proton exchange membrane (PEM) fuel cell system relate to thermodynamics, electrochemistry, hydrodynamics, mass transfer theory, which form a complex nonlinear system, and it is different to establish its mathematical model. This paper utilizes the approach and self-study ability of artificial neural network to build a model of nonlinear system, and adapts the modified BP to build a dynamic model of PEM fuel cell. The model makes use of the 4000 groups´ experimental data as training specimens. Current density, flow rate and pressure of air and hydrogen as inputs of the model, voltage as the output . It is helpful for improving the performance of cells and optimizing control of cells.
Keywords :
backpropagation; current density; neural nets; power engineering computing; proton exchange membrane fuel cells; BP neural network; PEM fuel cells; artificial neural network; complex nonlinear system; current density; electrochemistry; flow rate; hydrodynamics; mass transfer theory; proton exchange membrane fuel cell system; thermodynamics; Adaptation model; Artificial neural networks; Atmospheric modeling; Biological neural networks; Fuel cells; Mathematical model; Training;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873328