Current stabilization in fuel cell/battery hybrid system using fuzzy-based controller

Rakhtala, Seyed Mehdi; Ghaderi, Reza; Ranjbar, A.; Fadaeian, T.; Niaki, Ali Nabavi

doi:10.1109/epec.2009.5420932

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Several sources contribute to irreversible losses in a practical fuel cell. The losses which are often called polarization over voltage, originate from three sources such as activation polarization, ohmic polarization and concentration polarization [14][15][16]. These losses results in a cell voltage for a fuel cell that is less than its ideal potential:…”

Section: Q Hmentioning

confidence: 99%

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Application of PEM Fuel Cell for Stand-alone Based on an Fuzzy PID Control

Rakhtala¹,

Shafiee²

2016

Bulletin EEI

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Due to increasing concerns on environmental pollution and depleting fossil fuels, fuel cell (FC) has received considerable attention as an alternative to the conventional energy systems. Fuel cells have numerous stand-alone and grid-connected applications. This paper presents the control of the stand-alone application based on fuzzy PID (FPID) controller. The aim of the paper is to achieve the control of the fuel cell for stand-alone with suitable power conditioning unit (PCU) that consists of the two stages of DC/DC converter and DC/AC inverter. An analysis of cascade structure based on FPID controller for a single phase inverter is done and comprises two feedback control loops. The inductor current and capacitor voltage are measured and feedback to the inner loop and the outer loop, respectively. The analytical models of the h PEM fuel cells is designed and simulated by developing a detailed simulation software using Matlab, Simulink and SimPowerSystems Blockset for portable applications. The PEM fuel cell model is validated with Nexa TM Power Module MAN5100078 by Ballard Power Systems at 80°C. In this paper shown that the proposed controller shows a robust behavior and good transient response.

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Section: Q Hmentioning

confidence: 99%

“…The combined effect of thermodynamics, mass transport kinetics and ohmic resistance determines the output voltage of the cell as [14][15][16][17]:…”

Section: Concentration Over Voltagementioning

confidence: 99%

Application of PEM Fuel Cell for Stand-alone Based on an Fuzzy PID Control

Rakhtala¹,

Shafiee²

2016

Bulletin EEI

Self Cite

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“…The output errorε =ŷ − y possesses the same relative degree sr 1 = 1 , r 2 = 2 , and r 3 = 3 with respect to v 1 , v 2 , and v 3 .…”

Section: Appendix 1 Proof Of Lemmamentioning

confidence: 99%

“…In comparison with regular power resources, this offers several advantages, such as high efficiency and a flexible modular structure [2]. However, as a drawback, the reaction time constant is dominated by temperature and oxygen starvation during rapid load transients [3]. Therefore, the proton exchange membrane fuel cell (PEMFC) performance is closely related to the type of control system.…”

Section: Introductionmentioning

confidence: 99%

Control of oxygen excess ratio in a PEM fuel cell system using high-order sliding-mode controller and observer

Rakhtala¹,

Noei²,

Ghaderi³

et al. 2015

Turk J Elec Eng & Comp Sci

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Abstract:The main objective of this manuscript is to design a high-order sliding-mode observer to provide finite time estimation of unmeasurable states (x 4 : oxygen mass, x 5 : nitrogen mass) together with the oxygen excess ratio (ratio of the input oxygen flow to the reacted oxygen flow in the cathode). This is done by applying second-order sliding modes through either super twisting or suboptimal controllers to control the proton exchange membrane fuel cell's breathing.The estimated oxygen excess ratio is controlled in a closed-loop system using 2 distinct sliding-mode approaches: a cascaded super twisting controller and a single-loop suboptimal structure. Simulation results are presented to make a quantitative comparison between the cascade and the single-loop configuration. The results verify that the cascade provides accurate reference tracking while the single-loop presents faster convergence.

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Modelling and Simulation of Proton Exchange Membrane Fuel Cell for Stand-Alone System

Singla

2018

Advances in Intelligent Systems and Computing

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Current stabilization in fuel cell/battery hybrid system using fuzzy-based controller

Cited by 6 publications

References 11 publications

Application of PEM Fuel Cell for Stand-alone Based on an Fuzzy PID Control

Application of PEM Fuel Cell for Stand-alone Based on an Fuzzy PID Control

Control of oxygen excess ratio in a PEM fuel cell system using high-order sliding-mode controller and observer

Modelling and Simulation of Proton Exchange Membrane Fuel Cell for Stand-Alone System

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