Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells

Asensio, F.J.; Martin, Jean-Phillipe; Zamora, I.; Saldaña, G.; Oñederra, O.

doi:10.1016/j.rser.2019.109283

Cited by 24 publications

(9 citation statements)

References 167 publications

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“…Based on the thermal model of an FC unit, almost 50% of generated energy is transformed into heat energy for a nominal condition, and in this case, the unfavourable situation is raised like thermal stress and degradation complicacy [56]. According to the thermodynamic energy balance principle in a single cell, the thermal power generated disappears from the cells of an FC stack via a cooling medium to prevent overheating process [57].…”

Section: Types and Modelling Of Fcmentioning

confidence: 99%

Fuel cell‐based topologies and multi‐input DC–DC power converters for hybrid electric vehicles: A comprehensive review

Pathak

Yadav

Padmanaban

et al. 2022

IET Generation Trans & Dist

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In the last few decades, the utilization of fuel cells (FCs) in the automotive industry has created much attention due to easy use, modular structure, and higher efficacy. In the future, technological evolutions reveal that FC driven electric vehicles (EVs) will grow at a rapid pace and will become an excellent alternative to conventional vehicles. This paper discusses a detailed topological classification of the FC‐based hybrid electric vehicle (FCHEV). In these FCHEVs, one of the critical elements is the DC–DC power converter unit. The hybridization of FCs with the other power sources requires more converter units that make the system complex. A multi‐input DC–DC power converter is used to connect more than one energy source to reduce the system's complexity and improve the overall system efficacy. In this survey, numerous articles have been considered and examined vividly. An assessment of present and future scenarios of FCs based power source topologies and multi‐input DC–DC power converter topologies used in HEV is presented. This survey provides a deep insight into the topic for the researchers and engineers working in this field.

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Section: Types and Modelling Of Fcmentioning

confidence: 99%

Fuel cell‐based topologies and multi‐input DC–DC power converters for hybrid electric vehicles: A comprehensive review

Pathak

Yadav

Padmanaban

et al. 2022

IET Generation Trans & Dist

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show abstract

“…FC models can be categorized in terms of scale, approach, state, spatial dimensions, and covered phenomena, as depicted in Fig. 1 [55,56].…”

Section: Pemfcs' Generating Unit Modelsmentioning

confidence: 99%

Computational Techniques Based on Artificial Intelligence for Extracting Optimal Parameters of PEMFCs: Survey and Insights

Ashraf

Abdellatif

Elkholy

et al. 2022

Arch Computat Methods Eng

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For the sake of precise simulation, and proper controlling of the performance of the proton exchange membrane fuel cells (PEMFCs) generating systems, robust and neat mathematical modelling is crucially needed. Principally, the robustness and precision of modelling strategy depend on the accurate identification of PEMFC’s uncertain parameters. Hence, in the last decade, with the noteworthy computational development, plenty of meta-heuristic algorithms (MHAs) are applied to tackle such problem, which have attained very positive results. Thus, this review paper aims at announcing novel inclusive survey of the most up-to-date MHAs that are utilized for PEMFCs stack’s parameter identifications. More specifically, these MHAs are categorized into swarm-based, nature-based, physics-based and evolutionary-based. In which, more than 350 articles are allocated to attain the same goal and among them only 167 papers are addressed in this effort. Definitely, 15 swarm-based, 7 nature-based, 6 physics-based, 2 evolutionary-based and 4 others-based approaches are touched with comprehensive illustrations. Wherein, an overall summary is undertaken to methodically guide the reader to comprehend the main features of these algorithms. Therefore, the reader can systematically utilize these techniques to investigate PEMFCs’ parameter estimation. In addition, various categories of PEMFC’s models, several assessment criteria and many PEMFC commercial types are also thoroughly covered. In addition to that, 27 models are gathered and summarized in an attractive manner. Eventually, some insights and suggestions are presented in the conclusion for future research and for further room of improvements and investigations.

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“…Utilizing electrochemical mechanisms such as the models based on polarization curves has been recognized as effective to explain FC voltage losses [25]. The polarization curve model contains the voltage losses due to activation ( ), ohmic ( ), and concentration ( ), and is generally expressed as…”

Section: Degradation Mechanism Modelmentioning

confidence: 99%

A fusion prognostics strategy for fuel cells operating under dynamic conditions

Wang

Dou

et al. 2022

eTransportation

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Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells

Cited by 24 publications

References 167 publications

Fuel cell‐based topologies and multi‐input DC–DC power converters for hybrid electric vehicles: A comprehensive review

Fuel cell‐based topologies and multi‐input DC–DC power converters for hybrid electric vehicles: A comprehensive review

Computational Techniques Based on Artificial Intelligence for Extracting Optimal Parameters of PEMFCs: Survey and Insights

A fusion prognostics strategy for fuel cells operating under dynamic conditions

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