Operational optimization and real-time control of fuel-cell systems

2009 ◽  
Vol 193 (1) ◽  
pp. 258-268 ◽  
Author(s):  
J. Hasikos ◽  
H. Sarimveis ◽  
P.L. Zervas ◽  
N.C. Markatos
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Real Time Control ◽  
Cell Systems ◽  
Time Control ◽  
Operational Optimization

Dynamic Test and Real-time Control Platform of Anode Recirculation for PEM Fuel Cell Systems

2006 ◽  
Vol 3 (3) ◽  
pp. 333-345 ◽  
Author(s):  
Cheng Bao ◽  
Kexun Zhang ◽  
Minggao Ouyang ◽  
Baolian Yi ◽  
Pingwen Ming
Keyword(s):  
Neural Network ◽  
Fuel Cell ◽  
Real Time ◽  
Test Bench ◽  
Future Application ◽  
Real Time Control ◽  
Cell Systems ◽  
Time Control ◽  
Injection Pump ◽  
Wide Range

Anode recirculation is essential to the pure-hydrogen proton exchange membrane fuel cell system. Keeping the pressure difference between the anode and the cathode is also important to the membrane health. In this paper, a dynamic platform was designed for the recirculation test of injection pump and real-time control of the anode pressure tracking. The test bench can work in a wide range of conditions for high- and low-pressure application. Based on the MATLAB/xPC Target environment, some S functions were written to drive the PC board for the hardware-in-loop application. Then an analytical full-order and a reduced-order model were built with good accuracy. By linearization of the nonlinear dynamic model, a linear quadratic Gaussian algorithm based on state feedback was used for set-point tracking. Moreover, an adaptive fuzzy neural network with an on-line neural network identifier was also designed to improve the control robustness. The foundation of the test bench and realization of the real-time control algorithms are meaningful to the future application in fuel cell systems.

Development of a Multiphysical 2-D Model of a PEM Fuel Cell for Real-Time Control

2018 ◽  
Vol 54 (5) ◽  
pp. 4864-4874 ◽  
Author(s):  
Daming Zhou ◽  
Fei Gao ◽  
Ahmed Al-Durra ◽  
Elena Breaz ◽  
Alexandre Ravey ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Pem Fuel Cell ◽  
Real Time Control ◽  
Time Control ◽  
D Model

Real time control of air feed system in a PEM fuel cell by means of an adaptive neural-network

2014 ◽  
Vol 39 (29) ◽  
pp. 16750-16762 ◽  
Author(s):  
Victor M. Sanchez ◽  
Romeli Barbosa ◽  
L.G. Arriaga ◽  
Juan M. Ramirez
Keyword(s):  
Neural Network ◽  
Fuel Cell ◽  
Real Time ◽  
Pem Fuel Cell ◽  
Real Time Control ◽  
Feed System ◽  
Adaptive Neural Network ◽  
Time Control

Development of a Quasi 2-D Modeling of Tubular Solid-Oxide Fuel Cell for Real-Time Control

2014 ◽  
Vol 29 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Fei Gao ◽  
Marcelo Godoy Simoes ◽  
Benjamin Blunier ◽  
Abdellatif Miraoui
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Real Time Control ◽  
Time Control

A Distributed Real-Time Control System for PEM Fuel Cell Engine

2009 ◽  
Author(s):  
Jianqiu Li ◽  
Liangfei Xu ◽  
Jianfeng Hua ◽  
Minggao Ouyang
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Real Time ◽  
Pem Fuel Cell ◽  
Area Network ◽  
Real Time Control ◽  
Beijing City ◽  
City Bus ◽  
Time Control ◽  
The Individual

A real time distributed control system for a 100Kw PEM fuel cell engine will be presented in this paper. The fuel cell engine is successful applied to a demonstration city bus in Beijing city for the Olympic Games. The framework of the control system, which is based on the Time Trigger Controller Area Network (TTCAN), will be presented in this paper. The control task schedule and optimize of TTCAN are analyzed. The individual and flexible output power control of the FC blocks is discussed and then the improved solution is presented.

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