Modeling and Performance Analysis of Polymer Electrolyte Membrane Fuel Cells

Polymer electrolyte membrane fuel cells (PEMFCs) convert chemical energy from hydrogen and oxygen into electrical power through electrochemical processes at relatively low temperatures. Modelling and performance analysis of PEMFCs span multiple scales, from microscopic descriptions of catalyst layers and membrane hydration to full-stack simulations under dynamic load profiles. Contemporary approaches integrate multi-physics phenomena—mass transport, charge conduction, heat transfer and two-phase water dynamics—into reduced-order or high-fidelity frameworks. Reduced-order and one-dimensional models enable real-time monitoring and control, exploiting spatio-temporal decoupling to achieve computational efficiency without sacrificing key transport interactions. Higher-dimensional and computational fluid dynamics (CFD) models capture inhomogeneities in reactant distribution, water accumulation and thermal gradients, guiding design of gas diffusion and flow-field architectures. Transient simulations under automotive driving cycles reveal the interplay between platinum oxide formation, water management and proton conductivity in defining voltage response. Sensitivity analysis and uncertainty quantification highlight the impact of membrane thickness, catalyst loading and hydration on performance metrics and durability. Together, these modelling efforts inform material selection, stack design and operational strategies, accelerating the deployment of PEMFCs in transport and stationary power applications while addressing global decarbonisation goals.

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Modeling and Performance Analysis of Polymer Electrolyte Membrane Fuel Cells publication trend

The graph below shows the total number of articles in modeling and performance analysis of polymer electrolyte membrane fuel cells across all publications each year (not limited to Nature Index journals).

Technical terms

Proton exchange membrane (PEM): thin polymer film that conducts protons from anode to cathode while blocking electrons and reactant gases.

Membrane electrode assembly (MEA): integrated unit comprising the PEM, catalyst layers and gas diffusion media where electrochemical reactions occur.

Computational fluid dynamics (CFD): numerical technique for simulating fluid flow, heat and species transport within fuel cell channels and porous layers.

Two-phase flow: simultaneous transport of liquid water and gas species in porous media and flow channels.

Non-isothermal model: simulation framework that accounts for temperature variations and heat generation within the fuel cell components.

References

1. Dynamic modeling of polymer electrolyte membrane fuel cells under real-world automotive driving cycle with experimental validation on segmented single cell. Renewable Energy (2024).
2. Modelling Methods and Validation Techniques for CFD Simulations of PEM Fuel Cells. Processes (2021).
3. A Mathematical Model toward Real-Time Monitoring of Automotive PEM Fuel Cells. Journal of The Electrochemical Society (2020).
4. A computationally efficient and high-fidelity 1D steady-state performance model for PEM fuel cells. Journal of Physics Energy (2023).
5. Sensitivity analysis and uncertainty quantification in predictive modeling of proton-exchange membrane electrolytic cells. Journal of Power Sources (2024).