scholarly journals Temperature Optimization and Control of Optimal Performance for a 300W Open Cathode Proton Exchange Membrane Fuel Cell

2012 ◽  
Vol 29 ◽  
pp. 179-183 ◽  
Author(s):  
Qi Li ◽  
Weirong Chen ◽  
Shukui Liu ◽  
Zuchang Gao ◽  
Shunfeng Yang
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Optimal Performance ◽  
Temperature Optimization ◽  
Optimization And Control ◽  
And Control ◽  
Exchange Membrane

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.

scholarly journals Modelling and control of a grid-tied power conditioning unit for a megawatt fuel cell system

2020 ◽  
Vol 9 (1) ◽  
pp. 149
Author(s):  
Khlid Ben Hamad ◽  
Mohamed Tariq Kahn
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Clean Energy ◽  
Cell System ◽  
Proton Exchange ◽  
Energy Sources ◽  
Power Conditioning ◽  
Fuel Cell Stack ◽  
And Control ◽  
Exchange Membrane

It is a reality that future development in the energy sector is founded on the utilization of renewable and sustainable energy sources. These energy sources can empower to meet the double targets of diminishing greenhouse gas emissions and ensuring reliable and cost-effective energy supply. Fuel cells are one of the advanced clean energy technologies and have demonstrated their ability to be a decent substitute to address the above-mentioned concerns. They are viewed as reliable and efficient technologies to operate either tied or non-tied to the grid and power applications ranging from domestic, commercial to industrial. Among different fuel cell technologies, proton exchange membrane is the most attractive. Its connection to the utility grid requires that the power conditioning system serving as the interface between the stack and the grid operates accordingly. This study aims to model and control a power conditioning system for the grid-connection of a megawatt fuel cell stack. Besides the grid, the system consists of a 1.54 MW/1400 V DC proton exchange membrane fuel cell stack, a 1.3 MW/600 V three-level diode clamped inverter and an LCL filter which is designed to reduced harmonics and meet the standards such as IEEE 519 and IEC 61000-3-6. The power conditioning control scheme comprises voltage and current regulators to provide a good power factor and satisfy synchronization requirements with the grid. The frequency and phase are synchronized with those of the grid through a phase-locked-loop. The modelling and simulation are performed using Matlab/Simulink. The results show good performance of the proposed microgrid as well as the inverter design and control approach with a low total harmonic distortion of about 0.35% for the voltage and 0.19% for the current.   

scholarly journals Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5022
Author(s):  
Samuel Raafat Fahim ◽  
Hany M. Hasanien ◽  
Rania A. Turky ◽  
Abdulaziz Alkuhayli ◽  
Abdullrahman A. Al-Shamma’a ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Cell Model ◽  
Search Algorithm ◽  
Nonlinear Models ◽  
Proton Exchange ◽  
Hunger Games ◽  
And Control ◽  
Exchange Membrane

This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing proton exchange membrane fuel cells (PEMFCs). The PEMFC model has many parameters that are linked in a nonlinear manner, as well as a set of constraints. The HGS was used with the aforementioned model to test its performance against nonlinear models. The main aim of the optimization problem was to obtain accurate values of PEMFC parameters. The proposed heuristic algorithm was used with two commercial PEMFCs: the Ballard Mark V and the BCS 500 W. The simulation results obtained using the HGS-based model were compared to the experimental results. The effectiveness of the proposed model was verified under various temperature and partial pressure conditions. The numerical output results of the HGS-based fuel cell model were compared with other optimization algorithm-based models with respect to their efficiency. Moreover, the parametric t-test and other statistical analysis methods were employed to check the robustness of the proposed algorithm under various independent runs. Using the proposed HGS-based PEMFC model, a model with very high precision could be obtained, affecting the operation and control of the fuel cells in the simulation analyses.

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