A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers

Bayat, Pezhman; Baghramian, Alfred

doi:10.1016/j.ijhydene.2020.05.274

Cited by 23 publications

(6 citation statements)

References 39 publications

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“…Priyadarshi et al [39] proposed the firefly optimization algorithm with asymmetrically designed inputs/outputs membership functions (MF), showcasing its effectiveness in improving performance. Several other optimization algorithms have been proposed for FLC design, including elitist invasive weeds optimization (EIWO) [40], modified hybrid shuffled frogs leaping optimizers algorithm (MSFLA) [41], differential evaluations optimizations algorithm (DEOA), and the hybrid BAT optimizer algorithm [42].…”

Section: Literature Reviewmentioning

confidence: 99%

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Robust Fuzzy Logic MPPT Using Gradient-Based Optimization for PEMFC Power System

Rezk,

Aly,

Ghoniem

2023

Sustainability

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In this study, the design of fuzzy logic control (FLC) systems for proton exchange membrane fuel cells (PEMFCs) maximum power point tracking (MPPT) is improved. The improvement is made possible by using a gradient-based optimizer (GBO), which maximizes the FLC systems’ freedom and flexibility while enabling accurate and speedy tracking. During optimization, the parameters of the FLC membership functions are considered choice variables, and the error integral is assigned to be the objective function. The proposed GBO-FLC method’s results are contrasted with those of other computational methods. The results demonstrated that the proposed GBO-FLC beats the other strategies regarding mean, median, variance, and standard deviation. A thorough comparison between the regular FLC and the upgraded FLC was conducted using a variety of scenarios with varied temperatures and water content. The results demonstrate that the suggested FLC-based GBO design provides a dependable MPPT solution in PEMFCs. The advancement of FLC systems through optimizing power generation in fuel cells is made possible by this work, opening the door for more effective and reliable alternative energy sources.

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Section: Literature Reviewmentioning

confidence: 99%

“…The electrical characteristics of PEMFC can be modeled using Equation ( 2): The activation polarization is denoted as V a , the ohmic polarization as V o , and the concentration loss as V c . The thermodynamic potential is represented as E Nernest [40]. This can be deduced from Equation ( 3):…”

Section: Model Of Pemfcmentioning

confidence: 99%

Robust Fuzzy Logic MPPT Using Gradient-Based Optimization for PEMFC Power System

Rezk,

Aly,

Ghoniem

2023

Sustainability

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“…FLC with optimized design was introduced in [29] for optimizing system response. The elitist invasive-weed optimizer (EIWO) has been utilized for optimum design of FLC in PEMFC applications [30]. The hybrid modified shuffled-frog leaping optimization algorithm (MSFLA) with FLC has been presented in [31].…”

Section: Introductionmentioning

confidence: 99%

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

et al. 2021

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Fuel cell (FC) represents one of the promising efficient solutions for future energy supply. Improving performance and integration methods of FCs via maximum power point tracking (MPPT) and high boosting factor inverters are key requirements for research in renewable energy fields. Recently, hybrid FC-battery structures have shown wide applications in several areas. Accordingly, marine predators algorithm (MPA) is proposed in this article for optimizing the design of reduced sensor fuzzy-logic based MPPT scheme. The proposed scheme inherits the following benefits: reduced sensors and hence reduced costs, more flexibility and smooth performance due to fuzzy-logic based MPPT, and optimized design method of fuzzy-logic based MPPT through MPA method. Moreover, a high boosting ratio inverter is introduced in this article based on using the switched capacitor multilevel inverter (SCMLI). The proposed system achieves self capacitor voltage control without complex control or extra sensors. The proposed hybrid FC-battery system has been validated at various operating points. In addition, comprehensive comparisons with existing schemes in the literature are provided in the paper. The superiority of the proposed scheme has been verified with robust, fast and accurate tracking, reduced cost, flexible, simple, and smooth output waveforms. The proposed method achieves the lowest output power fluctuations with fast tracking speed compared to the studied classical methods.INDEX TERMS Battery, fuel cells (FCs), fuzzy logic control, marine predators algorithm, maximum power point tracking, stand alone applications.

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“…The application of type-2 FLC for MPPT has been presented in. 38 Additionally, hybrid FLC systems have been introduced in literature for fuel cell applications. 39,40 In Reference 41, a fractional order FLC method has been presented for TEG systems.…”

Section: Introductionmentioning

confidence: 99%

A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

Aly

Rezk

2021

Int J Energy Res

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A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers

Cited by 23 publications

References 39 publications

Robust Fuzzy Logic MPPT Using Gradient-Based Optimization for PEMFC Power System

Robust Fuzzy Logic MPPT Using Gradient-Based Optimization for PEMFC Power System

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

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