Machine learning for guiding high-temperature PEM fuel cells with greater power density. [PDF]
Briceno-Mena LA +3 more
europepmc +1 more source
Parametric Reconstruction and Pore-Scale Transport Analysis of Microporous Layers in PEM Fuel Cells. [PDF]
Sun S, Li L, Wang H, Yang G.
europepmc +1 more source
Hybrid parameter estimation and sensitivity analysis of PEM fuel cells using Rüppell's fox optimizer and Sobol metrics. [PDF]
Draz A +4 more
europepmc +1 more source
Ionic Liquid in Phosphoric Acid-Doped Polybenzimidazole (PA-PBI) as Electrolyte Membranes for PEM Fuel Cells: A Review. [PDF]
Seng LK, Masdar MS, Shyuan LK.
europepmc +1 more source
Advanced modeling and parameter estimation of PEM fuel cells using the g-function and self-adaptive differential evolution algorithm. [PDF]
Ćalasan M +4 more
europepmc +1 more source
HGOA-based framework for multi-objective optimization and performance prediction of PEM fuel cells. [PDF]
Kamal +5 more
europepmc +1 more source
A Novel Method to Indirectly Measure Electro-osmotic Drag and Back Diffusion From Total Water Flow Experiments in PEM Fuel Cells. [PDF]
Ingarra NA, Kobus KCJ.
europepmc +1 more source
Alginate-tungsten trioxide-reduced graphene-based membranes for PEM fuel cells operating above the boiling point of water. [PDF]
Nimir W +4 more
europepmc +1 more source
Model-based analysis of Electrochemical Pressure Impedance Spectroscopy (EPIS) for PEM Fuel Cells
Electrochemical impedance spectroscopy (EIS) is a widely-used diagnostic technique to characterize electrochemical processes. It is based on the dynamic analysis of two electrical observables, that is, current and voltage.
Grübl, Daniel +2 more
core
Thermal Transient Performance of PEM Fuel Cells in Aerospace Applications: A Numerical Study. [PDF]
Seddiq M, Alnajideen M, Navaratne R.
europepmc +1 more source

