Proton exchange membrane fuel cell — A smart drive algorithm

Derbeli, Mohamed; Sbita, Lassaâd; Farhat, Maissa; Barambones, Óscar

doi:10.1109/gecs.2017.8066167

Cited by 15 publications

(13 citation statements)

References 25 publications

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“…At the catalyst of the cathode, the electrons and the protons are combined with the presence of the oxygen to form water and heat [32,33]. The reaction equations are given in Equation (1)-(3) [27]:…”

Section: Proton Exchange Membrane (Pem) Fuel Cellmentioning

confidence: 99%

“…The results have shown that the production power can be enhanced by more than 10% using the proposed technique. Authors of [27], used two MPPT approaches based on fuzzy logic control (FLC) and P&O. Comparative results have shown the effectiveness of the proposed FLC in terms of reducing the unwanted oscillations around the operating power point.…”

Section: Introductionmentioning

confidence: 99%

“…The results have shown that the proposed neural network MPPT has tracked the maximum power point faster than the FLC. However, although authors of [18][19][20][21][22][23][24][25][26][27][28] proposed advanced algorithms, only simulation work has occurred. Therefore, with respect to state-of-the-art, a real-time implementation of a high order sliding mode based on QC is proposed to keep the fuel cell operating at an adequate power point.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of High Order Sliding Mode Control for PEMFC Power System

et al. 2020

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Fuel cells are considered as one of the most promising methods to produce electrical energy due to its high-efficiency level that reaches up to 50%, as well as high reliability with no polluting effects. However, scientists and researchers are interested more in proton exchange membrane fuel cells (PEMFCs). Thus, it has been considered as an ideal solution to many engineering applications. The main aim of this work is to keep the PEMFC operating at an adequate power point. To this end, conventional first-order sliding mode control (SMC) is used. However, the chattering phenomenon, which is caused by the SMC leads to a low control accuracy and heat loss in the energy circuits. In order to overcome these drawbacks, quasi-continuous high order sliding mode control (QC-HOSM) is proposed so as to improve the power quality and performance. The control stability is proven via the Lyapunov theory. The closed-loop system consists of a PEM fuel cell, a step-up converter, a DSPACE DS1104, SMC and QC-HOSM algorithms and a variable load resistance. In order to demonstrate the effectiveness of the proposed control scheme, experimental results are compared with the conventional SMC. The obtained results show that a chattering reduction of 84% could be achieved using the proposed method.

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Section: Proton Exchange Membrane (Pem) Fuel Cellmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of High Order Sliding Mode Control for PEMFC Power System

et al. 2020

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“…In the literature, a great number of classical MPPT methods have been reported . However, the most commonly used are fractional short or open-circuit (FSC, FOC) [7,8], perturb and observe (P&O) [9][10][11], voltage-and current-based MPPT [12], incremental conductance (Inc-Cond) [13][14][15], extremum seeking control (ESC) [16][17][18][19], sliding mode control (SMC) [20][21][22][23], current sweep (CS) [24], and fuzzy logic control (FLC) [25][26][27][28][29][30]. Smart and advanced computing techniques such as eagle strategy control (ESC), particle swarm optimization (PSO), neural network control (NNC), and genetic algorithms (GAs) have also been commonly used in the last few years [35][36][37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

“…The P&O and Inc-Cond techniques are widely used as conventional algorithms with certain features and drawbacks. The P&O algorithm has the drawback of oscillations around the operating power point, which yields a loss of a considerable amount of power [10]. Moreover, the response of the P&O technique is slow-moving under rapid changes in operating conditions.…”

Section: Introductionmentioning

confidence: 99%

A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System

2018

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Taking into account the limited capability of proton exchange membrane fuel cells (PEMFCs) to produce energy, it is mandatory to provide solutions, in which an efficient power produced by PEMFCs can be attained. The maximum power point tracker (MPPT) plays a considerable role in the performance improvement of the PEMFCs. Conventional MPPT algorithms showed good performances due to their simplicity and easy implementation. However, oscillations around the maximum power point and inefficiency in the case of rapid change in operating conditions are their main drawbacks. To this end, a new MPPT scheme based on a current reference estimator is presented. The main goal of this work is to keep the PEMFCs functioning at an efficient power point. This goal is achieved using the backstepping technique, which drives the DC–DC boost converter inserted between the PEMFC and the load. The stability of the proposed algorithm is demonstrated by means of Lyapunov analysis. To verify the ability of the proposed method, an extensive simulation test is executed in a Matlab–Simulink T M environment. Compared with the well-known proportional–integral (PI) controller, results indicate that the proposed backstepping technique offers rapid and adequate converging to the operating power point.

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An improved MPPT control-based ANFIS method to maximize power tracking of PEM fuel cell system

Tao

Wang

Muranaka

2022

Sustainable Energy Technologies and Assessments

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Proton exchange membrane fuel cell — A smart drive algorithm

Cited by 15 publications

References 25 publications

Design and Implementation of High Order Sliding Mode Control for PEMFC Power System

Design and Implementation of High Order Sliding Mode Control for PEMFC Power System

A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System

An improved MPPT control-based ANFIS method to maximize power tracking of PEM fuel cell system

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