Activation of polymer electrolyte membrane fuel cells: Mechanisms, procedures, and evaluation

Pei, Pucheng; Fu, Xing; Zhu, Zijing; Ren, Peng; Chen, Dongfang

doi:10.1016/j.ijhydene.2022.05.228

Cited by 30 publications

(9 citation statements)

References 78 publications

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“…The PEMFC stack dimensions (cell area / number of cells) greatly influence the efficiency of a break-in protocol [28]. On large stacks, reactant, water and heat distribution is less uniform over the cell surface, resulting in longer activation times.…”

Section: Impact Of Pemfc Characteristics On Benchmarking Resultsmentioning

confidence: 99%

“…Novel accelerated break-in methods however go against the durability guidelines, by causing flooding, starvations, applying high temperatures/pressures, high amplitude current/voltage fluctuations, etc. [28]. Even though activation increases cell performance, it does not mean that it is impervious to degradations.…”

Section: Break-in Characterization: Traditional Methods and Limitsmentioning

confidence: 99%

“…Some studies on the physical principles of fuel cell activation are presented in the literature, the objective of which is to obtain a better understanding and control over the break-in mechanisms [12], [25]- [27]. Of particular interest in this regard are the papers recently published by Christmann et al [11] and Pei et al [28]. These publications provide a more detailed vision of the evolving interconnections between the Membrane Electrode Assembly (MEA) components, as well as the morphological changes undergoing within each layer of the cell.…”

mentioning

confidence: 99%

See 2 more Smart Citations

A review on the Proton-Exchange Membrane Fuel Cell break-in physical principles, activation procedures, and characterization methods

Linden

Pahon

Morando

et al. 2023

Journal of Power Sources

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Section: Impact Of Pemfc Characteristics On Benchmarking Resultsmentioning

confidence: 99%

Section: Break-in Characterization: Traditional Methods and Limitsmentioning

confidence: 99%

mentioning

confidence: 99%

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A review on the Proton-Exchange Membrane Fuel Cell break-in physical principles, activation procedures, and characterization methods

Linden

Pahon

Morando

et al. 2023

Journal of Power Sources

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“…Overpotentials typically increase as a result of deactivation. 47 A so-called activation step, as encountered for noble metals 48,49 or MEAs, 50,51 was not observed in the majority of the tested samples. A follow-up investigation on this irregular phenomenon will be present towards the end of this study.…”

Section: Simulated Optimization Of Composition Through Mobomentioning

confidence: 90%

Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts

Jenewein,

Torresi,

Haghmoradi

et al. 2024

J. Mater. Chem. A

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“…To achieve (or rapidly achieve) the optimal state and performance of a Proton Exchange Membrane Fuel Cell (PEMFC) during operation and enhance the utilization of electrocatalysts in the membrane electrode assembly (MEA), an activation treatment is typically performed on the MEA after its preparation and before the regular operation of the stack [23][24][25].…”

Section: Cell Activationmentioning

confidence: 99%

Sensitivity analysis and optimization of operating conditions of proton exchange membrane fuel cell

Liao,

Photong,

2024

J Appl Electrochem

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Power characteristics are important indicators of fuel cell performance. In the actual operation of fuel cells, changes in operating conditions lead to variations in their power characteristics. Therefore, it is imperative to explore the impact of operating conditions on power characteristics. This paper analyzes the factors influencing fuel cell power and uses sensitivity analysis to investigate how different factors affect fuel cell performance. The operating parameters are optimized using a Bayesian-optimized Gaussian process regression model. The research results indicate that temperature has the greatest impact on fuel cell power, followed by stoichiometry and backpressure. The Bayesian-optimized Gaussian process regression model performs the best, reducing its RSME from 0.1 to 0.0556. Residual analysis and regression characteristic analysis verify the optimized model's improved fitting and regression characteristics. Based on the Bayesian-Gaussian process regression model, the optimized operating parameters are obtained for maximum power: a temperature of 80 °C, stoichiometry of 4, and backpressure of 1.7 bar. This paper provides theoretical support for improving fuel cell performance.。 Keyword: Fuel cells, operating conditions, power characteristics, sensitivity analysis, Gaussian process regression model IntroductionProton exchange membrane fuel cell (PEMFC), with their advantages of zero emissions, environmental friendliness, high power density, low noise, and long lifespan, have the potential to promote sustainable transportation and environmental development in various fields [1-2]. However, drawbacks such as relatively poor transient response characteristics and environmental adaptability have limited their commercial development [3]. In light of these challenges, enhancing fuel cell performance has become a focal point of industry research. Power, as a crucial parameter for assessing fuel cell performance and lifespan, is not only related to the performance and feasibility of fuel cells in various applications but also provides an effective basis for judging fuel cell performance degradation. Therefore, research on fuel cell power and its influencing factors is paramount.Factors affecting fuel cell power: Several factors affect system design, operating conditions, and materials. System 2 design primarily includes aspects such as system integration and control. Kim et al. [4] established a transient model of a fuel cell system and proposed a time-delay control strategy to prevent air starvation and flooding. This strategy adjusts the optimal stoichiometry of oxygen and hydrogen. The study verified that this control strategy is crucial in improving the transient performance of PEMFC systems through a comparative analysis with feedforward control and linear quadratic Gaussian control with a state estimator. To comprehensively understand the coupled effects of different factors on the overall performance and durability of PEMFC, Wu et al. [5] reviewed four aspects: fuel cell stack, subsystems, system in...

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Activation of polymer electrolyte membrane fuel cells: Mechanisms, procedures, and evaluation

Cited by 30 publications

References 78 publications

A review on the Proton-Exchange Membrane Fuel Cell break-in physical principles, activation procedures, and characterization methods

A review on the Proton-Exchange Membrane Fuel Cell break-in physical principles, activation procedures, and characterization methods

Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts

Sensitivity analysis and optimization of operating conditions of proton exchange membrane fuel cell

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