PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation

Ćalasan, Martin; Micev, Mihailo; Hasanien, Hany M.; Abdel Aleem, Shady H.E.

doi:10.1016/j.energy.2023.130130

Cited by 10 publications

(2 citation statements)

References 38 publications

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“…The drawbacks mentioned in that reference are: (1) GA has weak exploitation capability, (2) Harmony Search Algorithm (HSA) suffers from premature convergence. Reference [26] presents two novel iterative techniques for solving a critical nonlinear equation in PEMFC modeling, along with a hybrid optimization algorithm that outperforms existing methods in estimating PEMFC parameters for enhanced model accuracy. In reference [27], a semi-empirical PEMFC model is implemented using novel grey wolf optimization algorithm.…”

Section: B Literature Reviewmentioning

confidence: 99%

Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

Alqahtani,

Hasanien,

Alharbi

et al. 2024

IEEE Access

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Proton Exchange Membrane Fuel Cells (PEMFCs) play a crucial role in the advancement of clean hydrogen vehicles. Their ability to convert hydrogen into electricity makes them promising candidates to replace conventional engines. However, optimizing their performance and efficiency necessitates accurate modeling techniques capable of simulating their behavior. In this context, this paper proposes an advanced approach for precise parameter estimation in PEMFC models. Employing an Enhanced Walrus Optimization (EWO) algorithm integrated with Lévy flight exploration, the approach tackles the inherent nonlinearity of PEMFC systems. The technique aims to minimize the squared error between measured and simulated terminal voltage, thereby ensuring superior accuracy and robustness compared to established algorithms. The effectiveness of the proposed model is validated through comparisons between theoretical simulations and experimental measurements. The findings demonstrate the efficacy of the EWO algorithm, consistently outperforming previously published algorithms and achieving notably lower errors. Moreover, the incorporation of Lévy flights enhances the algorithm's capabilities, leading to expedited convergence and more accurate parameter estimations. Beyond facilitating precise parameter estimation, this enhanced modeling strategy opens avenues for refining design and optimization strategies in fuel cell research and development. The major contributions of this paper include the enhancement of the WO algorithm, evaluation of theoretical model accuracy, and robustness assessment of the EWO in optimizing the PEMFC model. By furnishing accurate models validated through experimental evidence, this enhanced modeling strategy paves the way for refining design and optimization strategies in fuel cell research and development.

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Section: B Literature Reviewmentioning

confidence: 99%

Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

Alqahtani,

Hasanien,

Alharbi

et al. 2024

IEEE Access

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show abstract

“…2 The proton exchange membrane (PEM), a crucial component in PEMFCs that selectively allows protons generated from cathodic reactions to transfer to the anode while maintaining battery reaction continuity, plays a vital role. 3 Currently, perfluorinated Nafion membranes are extensively used as PEM materials owing to their excellent chemical stability and performance under mild conditions. However, Nafion tends to dehydrate under low humidity or high temperature environments leading to reduced water content and undesirable proton conductivity.…”

Section: Introductionmentioning

confidence: 99%

A [V₆B₂₀]-based architecture incorporating two types of organic amine ligands: innovative additives for enhancing the proton conductivity of Nafion membrane

Liu,

Ma,

Zhou

et al. 2024

J. Mater. Chem. C

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Enhanced manta ray foraging optimization algorithm involving fuzzy-based fitness-distance balance method for estimation of unidentified parameters of PEMFC model

Ozkaya,

Duman,

Isen

2024

Electr Eng

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PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation

Cited by 10 publications

References 38 publications

Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

A [V₆B₂₀]-based architecture incorporating two types of organic amine ligands: innovative additives for enhancing the proton conductivity of Nafion membrane

Enhanced manta ray foraging optimization algorithm involving fuzzy-based fitness-distance balance method for estimation of unidentified parameters of PEMFC model

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PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation

Cited by 10 publications

References 38 publications

Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

A [V6B20]-based architecture incorporating two types of organic amine ligands: innovative additives for enhancing the proton conductivity of Nafion membrane

Enhanced manta ray foraging optimization algorithm involving fuzzy-based fitness-distance balance method for estimation of unidentified parameters of PEMFC model

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A [V₆B₂₀]-based architecture incorporating two types of organic amine ligands: innovative additives for enhancing the proton conductivity of Nafion membrane