Fast and accurate estimation of PEMFCs model parameters using a dimension learning-based modified grey wolf metaheuristic algorithm

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116917 - 116917

Published: Feb. 1, 2025

Language: Английский

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Robust parameter estimation of proton exchange membrane fuel cell using Huber loss statistical function

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 323, P. 119231 - 119231

Published: Nov. 11, 2024

Language: Английский

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Optimizing parameter extraction in proton exchange membrane fuel cell models via differential evolution with dynamic crossover strategy

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135397 - 135397

Published: March 1, 2025

Language: Английский

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An efficient framework for proton exchange membrane fuel cell parameter estimation using numerous MH algorithms

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 216, P. 115603 - 115603

Published: April 8, 2025

Language: Английский

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Parameters optimization of PEMFC model based on gazelle optimization algorithm

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 87, P. 214 - 226

Published: Sept. 7, 2024

Language: Английский

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A novel leaf bionic flow field with structured multi-level channel based on Murray's law in proton exchange membrane fuel cell for enhanced mass transfer

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(11)

Published: Nov. 1, 2024

The design of flow field has a significant impact on the performance proton exchange membrane fuel cells (PEMFCs). In this study, novel leaf bionic is designed and optimized based Murray's law. power consumption ratio first used in PEMFC. Additionally, an evaluation criterion, mass transfer efficiency criterion (MTEEC), proposed to characterize efficiency, synergy theory analyze differences among various fields. results demonstrate that adding multi-level channel obstacles significantly enhances cell output reduces voltage losses regions. Applying law distribute improves uniformity oxygen concentration distribution alleviates under-rib water accumulation. Compared secondary stream (SSFF), structure mesh (SMLBFF) demonstrates nearly 19% increase current density at 0.45 V. SMLBFF exhibits 81.51% convective rate compared SSFF 0.4 Moreover, MTEEC shows improvements 179.68% 0.5 A/cm2 135.43% 1.0 A/cm2, SSFF.

Language: Английский

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Design and development of different adaptive MPPT controllers for renewable energy systems: a comprehensive analysis

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 16, 2024

As of now, all over the world is focusing on Electric Vehicle (EV) technology because its features are low environmental pollution, less maitainence cost required, high robustness, and good dynamic response. Also, EVs work continuously until input fuel provided to stack. Here, a Proton Exchange Membrane Fuel Cell (PEMFC) used as an source electric vehicle system merits fast startup, quick However, PEMFC gives nonlinear voltage versus current characteristics. result, extraction maximum power from stack very difficult. The main aim this study different Maximum Power Point Tracking Techniques (MPPT) for DC-DC converter-fed system. studied MPPT controllers Adjusted Step Value Perturb & Observe (ASV with P&O), Adaptive Size Incremental Conductance (ASS IC), Radial Basis Functional Network (RBFN), Step-Fuzzy Logic Controller (IS FLC), Continuous Variation based Particle Swarm Optimization (CSV PSO), Value-Cuckoo Search Algorithm CSA). selected controllers' comprehensive has been in terms extraction, tracking speed MPP, settling time output voltage, oscillations across design complexity. From performance results hybrid controllers, ASV CSA technique superior when equated other controllers.

Language: Английский

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A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 8, 2024

This research study presents the application of FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in context maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing three-level boost converter (TLBC). The proposed approach involves integration an intelligent fuzzy controller with predictive current control strategy order to improve performance MPP tracking. Initially, utilization logic data values obtained from PEMFC. (P-I) PEMFC polarization curve is determined, followed by selection reference current. A technique employs ensure voltage balance output capacitor converter. hardware-in-the-loop utilizes real-time and high-speed simulator, specifically PLECS RT Box 1, obtain findings. computational cost overall rather low, making it feasible construct using 1. new MPPT quickly finds (MPP) balances capacitors number different cells. suggested has been verified demonstrate rapid location, as well precise balancing robustness environmental variations. was tested found outperform conventional methods like Perturb Observe (P&O) Incremental Conductance (IC) terms duration, precision, balancing, achieving 15% reduction 5% deviation value voltage, superior stability under changing temperature pressure.

Language: Английский

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Optimization of material-energy Co-management in a proton exchange membrane fuel cell

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 101, P. 391 - 402

Published: Jan. 1, 2025

Language: Английский

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SOFCs integrated with SMES under dynamic power control using Chernobyl disaster optimizer

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 24, 2025

Language: Английский

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