Proton Exchange Membrane Fuel Cell System Identification and Control: Part II — H-Infinity Based Robust Control

2006 ◽  
Author(s):  
F. C. Wang ◽  
Y. P. Yang ◽  
H. P. Chang ◽  
Y. W. Ma ◽  
C. W. Huang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Robust Control ◽  
System Identification ◽  
Control Method ◽  
Cell Voltage ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Proton Exchange ◽  
Fuel Cell System ◽  
Highly Nonlinear

This paper applies robust control strategies to a PEM fuel-cell system. In Part I of this work [17], a PEM fuel cell was described as a two-input-two-output system with the inputs of hydrogen and air flow rates, and the outputs of cell voltage and current. From the responses, system identification techniques were adopted to model the system transfer function matrix. Then adaptive control methods were applied to control the system with encouraging results. In this paper, the H∞ robust control strategy is proposed due to the highly nonlinear and time-varying characteristics of the system. From the results, it is illustrated to be an efficient control method for the fuel cell systems.

Theoretical Analysis on the Autothermal Reforming Process of Ethanol as Fuel for a Proton Exchange Membrane Fuel Cell System

2006 ◽  
Vol 4 (4) ◽  
pp. 468-473 ◽  
Author(s):  
Alessandra Perna
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Autothermal Reforming ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Hydrogen Yield ◽  
Fuel Cell System ◽  
Exchange Membrane

The purpose of this work is to investigate, by a thermodynamic analysis, the effects of the process variables on the performance of an autothermal reforming (ATR)-based fuel processor, operating on ethanol as fuel, integrated into an overall proton exchange membrane (PEM) fuel cell system. This analysis has been carried out finding the better operating conditions to maximize hydrogen yield and to minimize CO carbon monoxide production. In order to evaluate the overall efficiency of the system, PEM fuel cell operations have been analyzed by an available parametric model.

Proton Exchange Membrane (PEM) Fuel Cell System Model for Automotive Vehicle Simulation and Control

2001 ◽  
Author(s):  
Daisie D. Boettner ◽  
Gino Paganelli ◽  
Yann G. Guezennec ◽  
Giorgio Rizzoni ◽  
Michael J. Moran
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Proton Exchange ◽  
System Model ◽  
System Efficiency ◽  
Fuel Cell System ◽  
Air Compressor ◽  
Exchange Membrane

Abstract This paper describes a Proton Exchange Membrane (PEM) fuel cell system model for automotive applications that includes an air compressor, cooling system, and other auxiliaries. The fuel cell system model has been integrated into a vehicle performance simulator that determines fuel economy and allows consideration of control strategies. Significant fuel cell system efficiency improvements may be possible through control of the air compressor and other auxiliaries. Fuel cell system efficiency results are presented for two limiting air compressor cases: ideal control and no control. Extension of the present analysis to hybrid configurations consisting of a fuel cell system and battery is currently under study.

scholarly journals Hierarchical Control of an Integrated Fuel Processing and Fuel Cell System

Materials ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 21 ◽  
Author(s):  
Markku Ohenoja ◽  
Mika Ruusunen ◽  
Kauko Leiviskä
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Hierarchical Control ◽  
Cell System ◽  
Proton Exchange ◽  
Hydrogen Purification ◽  
Fuel Cell System ◽  
Fuel Processing ◽  
Control Models

An advanced model-based control method for the integrated fuel processing and a fuel cell system consisting of ethanol reforming, hydrogen purification, and a proton exchange membrane fuel cell is presented. For process identification, a physical model of the process chain was constructed. Subsequently, the simulated process was approximated with data-driven control models. Based on these control models, a hierarchical control framework consisting of model predictive controller and a global optimization algorithm was introduced. The performance of the new control method was evaluated with simulations. Results indicate that the new optimization concept enables resource efficient and fast control of the studied energy conversion process. Fast and efficient fuel cell process could then provide sustainable power source for autonomous and mobile applications in the future.

Proton Exchange Membrane Fuel Cell System Identification and Control: Part I — System Dynamics, Modeling and Identification

2006 ◽  
Author(s):  
Yee-Pien Yang ◽  
Fu-Cheng Wang ◽  
Hsin-Ping Chang ◽  
Ying-Wei Ma ◽  
Chih-Wei Huang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
System Identification ◽  
Proton Exchange Membrane ◽  
Cell System ◽  
Proton Exchange ◽  
Time Varying ◽  
Fuel Cell System ◽  
And Control ◽  
Exchange Membrane ◽  
Auxiliary Input

This paper consists of two parts to address a systematic method of system identification and control of a proton exchange membrane (PEM) fuel cell. This fuel cell is used for communication devices of small power, involving complex electrochemical reactions of nonlinear and time-varying dynamic properties. From a system point of view, the dynamic model of PEM fuel cell is reduced to a configuration of two inputs, hydrogen and air flow rates, and two outputs, cell voltage and current. The corresponding transfer functions describe linearized subsystem dynamics with finite orders and time-varying parameters, which are expressed as discrete-time auto-regression moving-average with auxiliary input models for system identification by the recursive least square algorithm. In experiments, a pseudo random binary sequence of hydrogen or air flow rate is fed to a single fuel cell device to excite its dynamics. By measuring the corresponding output signals, each subsystem transfer function of reduced order is identified, while the unmodeled, higher-order dynamics and disturbances are described by the auxiliary input term. This provides a basis of adaptive control strategy to improve the fuel cell performance in terms of efficiency, transient and steady state specifications. Simulation shows the adaptive controller is robust to the variation of fuel cell system dynamics.

An Optimal Predictive Control of 0.75 kW PEM Fuel Cell Cogeneration With Home Appliances for Efficient PV Utilization

2016 ◽  
Author(s):  
Akira Yoshida ◽  
Jun Yoshikawa ◽  
Yu Fujimoto ◽  
Yoshiharu Amano
Keyword(s):  
Fuel Cell ◽  
Predictive Control ◽  
Control Method ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Fuel Cell System ◽  
Actual Measurement ◽  
Home Appliances ◽  
Optimal Predictive Control

This paper proposes an optimal predictive control of 0.75 kW PEM fuel-cell cogeneration with home appliances. This paper also models fuel cell system for design and operation evaluation of building equipment based on actual measurement of residential fuel cell system on sale. As one application of constructed model and proposed control method, this paper discusses concerning home EMS for efficient PV utilization.

scholarly journals Multivariable robust control of a proton exchange membrane fuel cell system

2008 ◽  
Vol 177 (2) ◽  
pp. 393-403 ◽  
Author(s):  
Fu-Cheng Wang ◽  
Hsuan-Tsung Chen ◽  
Yee-Pien Yang ◽  
Jia-Yush Yen
Keyword(s):  
Fuel Cell ◽  
Robust Control ◽  
Proton Exchange Membrane ◽  
Cell System ◽  
Proton Exchange ◽  
Fuel Cell System ◽  
Exchange Membrane
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