Fuel Cell Membrane Characterizations

Kim, Yu Seung; Lee, Kwan‐Soo

doi:10.1080/15583724.2015.1011275

Cited by 65 publications

(51 citation statements)

References 210 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, water transport in membrane is frequently studied by means of ex-situ experiments [5] allowing to analyse separately each phenomenon. .…”

Section: Introductionmentioning

confidence: 99%

Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

Didierjean

Perrin

et al. 2015

Journal of Power Sources

View full text Add to dashboard Cite

“…Therefore, water transport in membrane is frequently studied by means of ex-situ experiments [5] allowing to analyse separately each phenomenon. .…”

Section: Introductionmentioning

confidence: 99%

Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

Didierjean

Perrin

et al. 2015

Journal of Power Sources

View full text Add to dashboard Cite

“…xsPCHD-based materials reflects the complexity of these chemical structures, which include [70] This analysis could also give insight into degradation mechanisms to help address chemical durability issues. Gas crossover, specifically hydrogen crossoveracross the PEM from anode to cathode,during fuel cell operations reduces efficiencies and can be the cause ofmembrane degradation effects.Thus, additional gas permeability testing within the temperature and humidity range of operating conditions is required to determine future fuel cell applications for these membranes, which is not addressed in the current study.…”

Section: Thermogravimetric Analysis (Tga)mentioning

confidence: 99%

High temperature proton exchange membranes with enhanced proton conductivities at low humidity and high temperature based on polymer blends and block copolymers of poly(1,3-cyclohexadiene) and poly(ethylene glycol)

Deng

Hassan

Nalawade

et al. 2015

Polymer

View full text Add to dashboard Cite

Hot (at 120 °C) and dry (20% relative humidity) operating conditions benefit fuel cell designs based on proton exchange membranes (PEMs) and hydrogen due to simplified system design and increasing tolerance to fuel impurities. Presented are preparation, partial characterization, and multi-scale modeling of such PEMs based on cross-linked, sulfonated poly(1,3-cyclohexadiene) (xsPCHD) blends and block copolymers with poly(ethylene glycol) (PEG). These low cost materials have proton conductivities 18 times that of current industry standard Nafion at hot, dry operating conditions. Among the membranes studied, the blend xsPCHD-PEG PEM displayed the highest proton conductivity, which exhibits a morphology with higher connectivity of the hydrophilic domain throughout the membrane. Simulation and modeling provide a molecular level understanding of distribution of PEG within this hydrophilic domain and its relation to proton conductivities. This study demonstrates enhancement of proton conductivity at high temperature and low relative humidity by incorporation of PEG and optimized sulfonation conditions.

show abstract

“…[1][2][3] The fuel cell (FC) is one of the important recently developed clean energy technologies with high efficiency and fuel flexibility. 7,8 Among them, proton-exchange membrane fuel cell (PEMFC) has low operating pressure, low operating temperature, low relative humidity, high efficiency, green source, no contamination, and waste less other than other types. The FCs can be categorized into a number of major types as presented in Liu et al and Kim and Lee.…”

Section: Introductionmentioning

confidence: 99%

“…The FCs can be categorized into a number of major types as presented in Liu et al and Kim and Lee. 7,8 Among them, proton-exchange membrane fuel cell (PEMFC) has low operating pressure, low operating temperature, low relative humidity, high efficiency, green source, no contamination, and waste less other than other types. 7,9,10 Current can directly be produced during the normal operation between hydrogen and oxygen in the presence of platinum as reagent.…”

Section: Introductionmentioning

confidence: 99%

Effective methodology based on neural network optimizer for extracting model parameters of PEM fuel cells

2019

View full text Add to dashboard Cite

Summary I/V polarization curves of proton‐exchange membrane fuel cells (PEMFCs) are used to characterize the performance of single cells and stacks. Numerous semi‐empirical models are presented to predict such polarization curves by determining the unknown parameters of mathematical model of the PEMFCs stack. In this paper, a novel optimization approach, namely neural network algorithm (NNA) is applied for an estimation of the unknown PEMFC model parameters. The NNA is employed to minimize adopted objective function, which is formulated as the sum of squared deviations (SSD) between the actual data and estimated voltage points subjects to set of inequality constraints are satisfied. Three commercial types of PEMFCs stack namely Ballard Mark V, BCS‐500 W, and Nedstack PS6 are numerically simulated to show the effectiveness of the proposed NNA‐based tool for parameter identification. The minimum values of SSD are 0.8536 V2 for Ballard Mark V, 0.011698 V2 for BCS‐500 W stack, and 2.14487 V2 for Nedstack PS6, respectively. The obtained results of the NNA are compared with other optimizers recently published in the literature such as flower pollination algorithm, slap swarm optimizer, grey wolf algorithm, grasshopper optimization algorithm, and shark smell algorithm under the same conditions. The comparisons and other performance tests indicate the robustness and the competition of the adopted NNA‐based method for producing accurate I/V polarization curves under different operating scenarios.

show abstract

Fuel Cell Membrane Characterizations

Cited by 65 publications

References 210 publications

Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

High temperature proton exchange membranes with enhanced proton conductivities at low humidity and high temperature based on polymer blends and block copolymers of poly(1,3-cyclohexadiene) and poly(ethylene glycol)

Effective methodology based on neural network optimizer for extracting model parameters of PEM fuel cells

Contact Info

Product

Resources

About