Materials, components, assembly and performance of flexible polymer electrolyte membrane fuel cell: A review

Yuan, Daoxian; Liu, Huiyuan; Zhang, Weiqi; Khotseng, Lindiwe; Xu, Qian; Su, Huaneng

doi:10.1016/j.jpowsour.2022.232369

Cited by 27 publications

(2 citation statements)

References 93 publications

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“…Beyond polymer-based membranes, there are silicate-based thin films that have shown promise for hydroxonium ion transport, making them suitable for use as PEMs. However, their application in FCs is limited due to their high cost and brittleness [55]. Other researchers have introduced polyimide nonwoven fabrics to enhance the characteristics of silicate-based PEMs.…”

Section: Principles and Literature Review Of Proton Exchange Membrane...mentioning

confidence: 99%

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Ghoniem,

Wilberforce,

Rezk

et al. 2023

Membranes

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The adoption of Proton Exchange Membrane (PEM) fuel cells (FCs) is of great significance in diverse industries, as they provide high efficiency and environmental advantages, enabling the transition to sustainable and clean energy solutions. This study aims to enhance the output power of PEM-FCs by employing the Adaptive Neuro-Fuzzy Inference System (ANFIS) and modern optimization algorithms. Initially, an ANFIS model is developed based on empirical data to simulate the output power density of the PEM-FC, considering factors such as pressure, relative humidity, and membrane compression. The Salp swarm algorithm (SSA) is subsequently utilized to determine the optimal values of the input control parameters. The three input control parameters of the PEM-FC are treated as decision variables during the optimization process, with the objective to maximize the output power density. During the modeling phase, the training and testing data exhibit root mean square error (RMSE) values of 0.0003 and 24.5, respectively. The coefficient of determination values for training and testing are 1.0 and 0.9598, respectively, indicating the successfulness of the modeling process. The reliability of SSA is further validated by comparing its outcomes with those obtained from particle swarm optimization (PSO), evolutionary optimization (EO), and grey wolf optimizer (GWO). Among these methods, SSA achieves the highest average power density of 716.63 mW/cm2, followed by GWO at 709.95 mW/cm2. The lowest average power density of 695.27 mW/cm2 is obtained using PSO.

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Section: Principles and Literature Review Of Proton Exchange Membrane...mentioning

confidence: 99%

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Ghoniem,

Wilberforce,

Rezk

et al. 2023

Membranes

View full text Add to dashboard Cite

show abstract

“…The implementation success of devices with energy units based on proton-exchange membrane fuel cells (PEMFCs) depends on the performance of each of the components of the fuel cell, i.e., catalytic layers, proton-conducting membrane, and gas diffusion layer (GDL) [1][2][3]. The catalytic layers containing platinum nanoparticles (NPs) on a carbon support as well as a proton-conducting ionomer are among the most essential parts that ensure the flow of cell reactions at the cathode and anode of the PEMFC membrane electrode assembly (MEA).…”

Section: Introductionmentioning

confidence: 99%

Activity of Platinum-Based Cathode Electrocatalysts in Oxygen Redaction for Proton-Exchange Membrane Fuel Cells: Influence of the Ionomer Content

Alekseenko,

Belenov,

Mauer

et al. 2024

Inorganics

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Studying the ORR activity of platinum-based electrocatalysts is an urgent task in the development of materials for proton-exchange membrane fuel cells. The catalytic ink composition and the formation technique of a thin layer at the RDE play a significant role in studying ORR activity. The use of a polymer ionomer in the catalytic ink provides viscosity as well as proton conductivity. Nafion is widely used as an ionomer for research both at the RDE and in the MEA. The search for ionomers is a priority task in the development of the MEA components to replace Nafion. The study also considers the possibility of using the LF4-SK polymer as an alternative ionomer. The comparative results on the composition and techniques of applying the catalytic layer using LF4-SK and Nafion ionomers are presented, and the influence of the catalytic ink composition on the electrochemical characteristics of commercial platinum–carbon catalysts and a highly efficient platinum catalyst based on an N-doped carbon support is assessed.

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High Safety Fuel Cells Based on Gas Diffusion Layer Suppressed Uneven Current and Thermal Runaway

Ning,

Zhu,

Liu

et al. 2024

Adv Funct Materials

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Thermal runaway poses a critical safety concern for fuel cells, significantly impairing their performance and durability. Uneven current often leads to uneven temperature, exacerbating the risk of thermal runaway. The inadequate electrical and thermal conductivity of the gas diffusion layer (GDL) is identified as the primary cause of the safety issues. To address this, a multilayer composite gas diffusion layer (MC‐GDL) is proposed and designed to enhance both electrical and thermal conductivity. The in‐plane electrical conductivity of the MC‐GDL reaches an impressive 9.1 × 104 S m−1. Under extreme uneven current, the fuel cell's performance with MC‐GDL only declines by 3.7%, compared to a substantial 58.1% decline observed with commercial GDL. Additionally, the in‐plane thermal conductivity of the MC‐GDL is notably high at 337.0 W m−1 K−1. Under extreme uneven temperature, the maximum temperature of Nafion membrane in fuel cell equipped with MC‐GDL is only 84.2 °C significantly lower than the 180.7 °C observed with commercial GDL. Consequently, the MC‐GDL effectively prevents the melting, thinning, and perforation of the Nafion membrane, thereby mitigating thermal runaway. Furthermore, the superior electrical and thermal conductivity of MC‐GDL can enhance the safety of other electrochemical devices by minimizing uneven current and thermal runaway.

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Materials, components, assembly and performance of flexible polymer electrolyte membrane fuel cell: A review

Cited by 27 publications

References 93 publications

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Activity of Platinum-Based Cathode Electrocatalysts in Oxygen Redaction for Proton-Exchange Membrane Fuel Cells: Influence of the Ionomer Content

High Safety Fuel Cells Based on Gas Diffusion Layer Suppressed Uneven Current and Thermal Runaway

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