Fractional order model for diagnosis of flooding and drying of the proton exchange membrane fuel cell

Author(s):  
Slimane Laribi ◽  
Khaled Mammar ◽  
Fatima Zohra Arama ◽  
Touhami Ghaitaoui
2021 ◽  
Vol 100 ◽  
pp. 104193
Author(s):  
Dalia Yousri ◽  
Seyedali Mirjalili ◽  
J.A. Tenreiro Machado ◽  
Sudhakar Babu Thanikanti ◽  
Osama elbaksawi ◽  
...  

2012 ◽  
Vol 19 (9) ◽  
pp. 2572-2577 ◽  
Author(s):  
A. Bakhtiar ◽  
Young-Bok Kim ◽  
Jin-Kwang You ◽  
Jung-In Yoon ◽  
Kwang-Hwan Choi

2013 ◽  
Author(s):  
Khaled Mammar ◽  
Belkacem Ould-Bouamama

Electrochemical impedance spectroscopy (EIS) is a very powerful tool for exploitation as a rich source of Proton Exchange Membrane Fuel Cell (PEMFC) diagnostic information. A primary goal of this work was to develop a suitable PEMFC impedance model, which can be used in the analysis for flooding and drying of fuel cell. For this one a novel optimization method based on factorial Design methodology is used. It was applied for parametric analysis of electrochemical impedance Thus it is possible to evaluate the relative importance of each parameter to the simulation accuracy. Furthermore this work presents an analysis of the PEMFC impedance behavior in the case of flooding and drying.


2019 ◽  
Vol 14 (3) ◽  
Author(s):  
Srinivasarao Divi ◽  
Shantanu Das ◽  
G. Uday Bhaskar Babu ◽  
S.H. Sonawane

Abstract In this work, fractional order PIλDµ (FOPID) controller designed to enhance the dynamic performance of the Proton Exchange Membrane (PEM) fuel cell. The control objective is to regulate the supply manifold pressure on cathode side to maintain oxygen excess ratio of the PEM fuel cell. The higher order PEM fuel cell model is approximated to First order plus time delay (FOPTD) model for controller design and analysis. The proposed FOPID controller is designed based on minimization of Integral Absolute Error (IAE) with pre specified maximum sensitivity (Ms) as a constraint. Uncertainty and measurement noise analysis is carried out to verify the robustness of the designed controller. The simulation results of proposed FOPID controller is compared with other designing methods. Based on minimization of IAE value, the SP 1.4 FOPID controller produces IAE value of 0.255 where as AMIGO 1.4 tuning method and ZN based FOPID tuning methods produces 0.263 and 3.817 respectively for perfect case. Based on maximum sensitivity Ms is 1.4, the SP 1.4 FOPID controller produces Ms of 1.4 where as AMIGO 1.4 PID and ZN based FOPID tuning methods produces Ms of 1.5 and 1.25 respectively for perfect case, which indicates that the proposed SP 1.4 FOPID controller is robust. The proposed SP 1.4 FOPID provides better values (rise time of 0.331 sec, settling time of 0.692 sec and percentage of peak overshoot of 0.797 for perfect case) when compared with other methods. From simulation results, for the control of supply manifold pressure of PEM fuel cell, the proposed fractional-order PID controllers improves the closed loop performance in terms of rise time, settling time and percentage of peak overshoot when compared to the integer-order PID controllers.


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