Analysis and diagnosis of PEM fuel cell failure modes (flooding &amp; drying) across the physical parameters of electrochemical impedance model: Using neural networks method

Laribi, Slimane; Mammar, Khaled; Sahli, Youcef; Koussa, Khaled

doi:10.1016/j.seta.2019.04.004

Cited by 53 publications

(15 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through stack disassembling and SEM examinations, defects liable for the fuel cell shutdown, and the nature of the membrane failure was detected and diagnosed. In another observation, Laribi et al 162 investigated the same failure mode of flooding and drying using neural networks approach across the physical parameters of the electrochemical impedance model. The result additionally confirmed that water content extended progressively to the cathode when the air supplies relative humidity at the cathode elevated and precipitated full‐size membrane ohmic resistance polarization.…”

Section: Failure Modes Of Pemfc Componentsmentioning

confidence: 99%

A review of gas diffusion layer properties and water management in proton exchange membrane fuel cell system

2020

View full text Add to dashboard Cite

Proton exchange membrane fuel cells (PEMFCs) can intensely lessen the emissions from the energy sector through environmentally friendly attributes. This evaluation paper summarizes the key additives of the PEMFC which are associated with water formation and delivery inside the cell. The gas diffusion layer (GDL) plays a key role in reactant gas diffusion and water control in proton exchange membrane (PEM) fuel cells. This paper also reviews updated literature regarding various hydrophobic and hydrophilic materials used for the improvement of the GDL and overall PEMFC performance. A style of carbon and steel-based microporous substrates (MPS) and microporous layer (MPL) and their impact in GDL overall performance are provided. Materials' properties that affect the performance of the MPL consisting of pore sizes, porosity, and permeability are additionally reviewed. Visualization of water in the flow channel and techniques to understand the mechanism of flow is reported. The failure modes related to the membrane electrode assembly (MEA) and typical PEMFC degradation are discussed. Prospects for development and addressing the water management and degradation of PEMFC through the exploration of further experimental and numerical studies are presented. Highlights • Proton exchange membrane fuel cells (PEMFCs) can be a good candidate for several applications • The material property of the GDL influences the overall fuel performance • Water transport if not properly managed can cause poor performance and failure of the fuel cell • There is need to understand how the fuel cell failure is related to the

show abstract

Section: Failure Modes Of Pemfc Componentsmentioning

confidence: 99%

A review of gas diffusion layer properties and water management in proton exchange membrane fuel cell system

2020

View full text Add to dashboard Cite

show abstract

“…For gray box model-based methods, parameter identification, observer, and equivalent space methods are usually used to diagnose faults [123]. For the blackbox models based methods, neural networks, fuzzy logic, and support vector machines (SVM) are usually used [124].…”

Section: H Battery Management Systemmentioning

confidence: 99%

AI-powered Energy Internet Towards Carbon Neutrality: Challenges and Opportunities

Li¹

2021

Preprint

View full text Add to dashboard Cite

From self-driving vehicles, voice recognition based virtual digital assistants, smart thermostats to recommendation systems, Artificial Intelligence (AI) is becoming a crucial part of the carbon neutral society that has drawn considerable interest from energy supply firms, startups, technology developers, financial institutions, national governments and the academic community. The emergence of AI initiates numerous opportunities to transform energy industry to AI-powered smart system which can revolutionize traditional approaches of creativity thinking, strategical operation, and solution seeking, especially for accelerating carbon neutrality of our society. This survey provides a comprehensive overview of fundamental principles that underpin applications of big data analysis in Energy Internet (EI), such as smart energy supply and consumption, smart health and Fintech. Next, we focus on intelligent decision-making for the energy industry and inform the state-of-the-art by thoroughly reviewing the literature. Subsequently, cybersecurity issues for AI system related to EI are discussed with recent advancements from vulnerability analysis of AI system to differential privacy and to blockchain based security technology. To our knowledge, this is one of the first academic, peer-reviewed works to provide a systematic review of AI applications for EI research and initiatives in terms of big data analysis, intelligent decision-making and AI related cybersecurity These initiatives were systematically classified into different groups according to the field of application, methodology and contribution Afterwards, potential challenges, limitations for existing research and opportunities for future directions are discussed, ranging from emerging explainable AI, to localized multi-energy marketplaces, self-driving electric vehicle charging and e-mobility. This paper can help us understand how to build smart cities and critical infrastructure for a climate-changed world towards the UN’s sustainable development goals.

show abstract

“…As the world continues to work hard to search for other energy sources to deal with climate change, the sources of energy used for electricity production should be scrutinized [1][2][3]. Over the past few years, fossil products have become the main source of energy production in the world [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Influence of Different Flow Patterns on Power and Reactant Transmission in Tubular-Shaped PEMFC

Jin

Yang

et al. 2021

Energies

View full text Add to dashboard Cite

The influence of a tubular structure PEMFC (proton exchange membrane fuel cell) with different flow patterns is investigated in this study. A complete 3D non-isothermal model is constructed for square and circular tubular PEMFCs, and the distribution of oxygen and water concentration in cathode channels, current density, power density and cell net power are studied. To this end, the four arrangements of tubular PEMFC are square chordal (SC), square peripheral (SP), circular chordal (CC) and circular peripheral (CP). The calculation of the effective area and boundary conditions remains the same when performing all four configurations. The consequent results show that for the tubular structure PEMFC, compared with the co-flow mode, the counter-flow mode has better performance and provides more power. Using a counter-flow pattern, the permeability of the species increases, so a more uniform reaction occurs at the cell. The entire performance of the SP and CP model is not as good as that of the SC and CC models because the SP and CP models have a higher flow velocity. Moreover, the SC model using the counter-flow pattern has the maximum predicted net power among the other models.

show abstract

Analysis and diagnosis of PEM fuel cell failure modes (flooding & drying) across the physical parameters of electrochemical impedance model: Using neural networks method

Cited by 53 publications

References 30 publications

A review of gas diffusion layer properties and water management in proton exchange membrane fuel cell system

A review of gas diffusion layer properties and water management in proton exchange membrane fuel cell system

AI-powered Energy Internet Towards Carbon Neutrality: Challenges and Opportunities

Numerical Analysis of the Influence of Different Flow Patterns on Power and Reactant Transmission in Tubular-Shaped PEMFC

Contact Info

Product

Resources

About