Fuel Cells最新文献_第3页

A Real-Time Capable Humidity Model for a Polymer Electrolyte Membrane Fuel Cell Electric Vehicle 聚合物电解质膜燃料电池电动汽车的实时湿度模型

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-08-10 DOI: 10.1002/fuce.70127

Eva Neumair, Maximilian K. Eisner, Volker Formanski, Hermann Rottengruber

{"title":"A Real-Time Capable Humidity Model for a Polymer Electrolyte Membrane Fuel Cell Electric Vehicle","authors":"Eva Neumair, Maximilian K. Eisner, Volker Formanski, Hermann Rottengruber","doi":"10.1002/fuce.70127","DOIUrl":"https://doi.org/10.1002/fuce.70127","url":null,"abstract":"<div>\u0000 \u0000 <p>In polymer electrolyte membrane fuel cells, hydrogen and oxygen are converted into electrical energy, with water as the main product. However, uneven water distribution, particularly close to the gas inlets, can lead to local membrane dry-outs, reducing performance and long-term durability. To prevent this, external humidification of inlet gases is often applied. In fuel cell electric vehicles (FCEVs), membrane humidification is preferred as it involves low energy losses and is independent of external water supply. Effective water management requires precise, real-time capable models to support advanced control strategies. In this study, a novel real-time capable crossflow membrane humidifier model was developed and combined with a fuel cell stack model, focusing on water transport. The proposed humidifier model employs a solution-diffusion approach, utilising a piecewise linear approximation of membrane water content and a simplified diffusion coefficient, which enables real-time applications as an explicit function. Coupling both models reduces sensor requirements, as boundary conditions can be estimated internally. The complete humidity model is validated on a full-scale, vehicle-specific test bench, showing strong agreement with experimental data. This enables its application in model-based control to improve the efficiency and lifespan of FCEVs.</p>\u0000 </div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Role of Native Binder in Controlling the Polytetrafluoroethylene Distribution in Gas Diffusion Layers for Proton Exchange Membrane Fuel Cells 天然粘合剂在控制质子交换膜燃料电池气体扩散层中聚四氟乙烯分布中的作用

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-08-07 DOI: 10.1002/fuce.70139

Dylan Schulz, Marcus Ringström, Siva Ravi Sankar, Anna Martinelli

{"title":"The Role of Native Binder in Controlling the Polytetrafluoroethylene Distribution in Gas Diffusion Layers for Proton Exchange Membrane Fuel Cells","authors":"Dylan Schulz, Marcus Ringström, Siva Ravi Sankar, Anna Martinelli","doi":"10.1002/fuce.70139","DOIUrl":"https://doi.org/10.1002/fuce.70139","url":null,"abstract":"<p>Gas diffusion layers (GDLs), a critical component in <span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>H</mi>\u0000 <mn>2</mn>\u0000 </msub>\u0000 <annotation>${rm H}_{2}$</annotation>\u0000 </semantics></math>/<span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>O</mi>\u0000 <mn>2</mn>\u0000 </msub>\u0000 <annotation>${rm O}_{2}$</annotation>\u0000 </semantics></math> proton exchange membrane fuel cells (PEMFCs), are commonly treated with polytetrafluoroethylene (PTFE) for controlling hydrophobicity. However, the influence of the GDL's native microstructure on the final PTFE spatial distribution is still poorly understood. We compare the PTFE distribution in a dry-laid GDL containing a native binder with that in a wet-laid, binder-free GDL. To analyze the GDL microstructure, we perform scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), and confocal Raman spectroscopy, with <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>μ</mi>\u0000 <mi>m</mi>\u0000 </mrow>\u0000 <annotation>${mu }{rm m}$</annotation>\u0000 </semantics></math> resolution at identical locations. We find that the binder acts as a scaffold for PTFE agglomerates to deposit, independent of the fiber locations. We show that PTFE deposited on the binder phase results in a significantly lower effect on the dry oxygen transport resistance, measured using a limiting current method at low oxygen concentration.</p>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fuce.70139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radial Basis Function Neural Network-Based Observer Design for Fuel Cell Liquid Water Saturation 基于径向基函数神经网络的燃料电池液态水饱和度观测器设计

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-08-07 DOI: 10.1002/fuce.70144

Fangmei Jiang, Ticao Jiao, Yuxia Li, Bo Li, Haibin Sun, Xuening Xing

{"title":"Radial Basis Function Neural Network-Based Observer Design for Fuel Cell Liquid Water Saturation","authors":"Fangmei Jiang, Ticao Jiao, Yuxia Li, Bo Li, Haibin Sun, Xuening Xing","doi":"10.1002/fuce.70144","DOIUrl":"https://doi.org/10.1002/fuce.70144","url":null,"abstract":"<div>\u0000 \u0000 <p>Water management remains a critical challenge in proton exchange membrane fuel cells (PEMFCs) owing to the need to balance flooding and membrane dry-out. However, the lack of direct measurements of liquid water saturation in the catalyst layer hinders effective water-state monitoring and control. To address this issue, a nonlinear dynamic observer is proposed for the online estimation of liquid water saturation based on a lumped-parameter state-space model with a triangular structure. A radial basis function neural network (RBFNN) is incorporated to approximate nonlinear terms associated with unmeasurable current derivatives and compensate for modeling uncertainties. Observer gain matrices and adaptive RBFNN weight update laws are systematically derived to guarantee estimation performance and stability. Furthermore, a computationally tractable observer design framework is established through the integration of linear matrix inequalities (LMIs) and algebraic constraint parameterization. Comparative simulations show that the proposed observer improves the estimation accuracy of stack temperature and liquid water saturation by 67.7<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math> and 46<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math>, respectively, compared with a conventional high-gain observer. These results demonstrate the effectiveness and potential of the proposed approach for real-time PEMFC water-state monitoring.</p></div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive MATLAB/Simulink Modeling and Stage-Wise Performance Analysis of a Hybrid Battery–Fuel Cell Electric Vehicle Powertrain 混合动力电池-燃料电池电动汽车动力系统的MATLAB/Simulink综合建模及阶段性性能分析

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-08-05 DOI: 10.1002/fuce.70143

Nanmaran R., S. Rajeshkannan, Srimathi S., Srinath R., Gulothungan G., Lalitha Gnanasekaran, Shanmugapriya D., Yuvarajan Devarajan, Ravikumar Jayabal

{"title":"Comprehensive MATLAB/Simulink Modeling and Stage-Wise Performance Analysis of a Hybrid Battery–Fuel Cell Electric Vehicle Powertrain","authors":"Nanmaran R., S. Rajeshkannan, Srimathi S., Srinath R., Gulothungan G., Lalitha Gnanasekaran, Shanmugapriya D., Yuvarajan Devarajan, Ravikumar Jayabal","doi":"10.1002/fuce.70143","DOIUrl":"https://doi.org/10.1002/fuce.70143","url":null,"abstract":"<div>\u0000 \u0000 <p>Fuel cell–based hybrid electric vehicles (FCEVs) represent a promising pathway toward sustainable transportation due to their high efficiency and negligible emission profile. Accurate simulation frameworks are essential to understand system dynamics, optimize power management, and enhance overall performance. This study presents a comprehensive MATLAB/Simulink-based simulation model of a hybrid battery–fuel cell powertrain for FCEVs. The proposed architecture integrates a fuel cell stack, battery unit, DC–DC converters, and an electric motor, with system parameters defined through dedicated script files to enable flexible modeling and performance evaluation. The model systematically estimates key operational parameters across multiple stages, including current, voltage, power output (kW), efficiency (%), duty cycle (%), battery state-of-charge, motor torque, and rotational speed. Additionally, excessive water flow rate from the fuel cell stack is quantified to assess system stability. The integrated configuration enables stage-wise analysis. The developed system achieves a peak motor output of 0.78 kW and 1500 rpm under defined operating conditions. Although simulation time and parametric assumptions remain limitations, the framework provides a robust platform for real-time design evaluation and optimization. Future work will incorporate intelligent power management strategies to further improve energy utilization, operational adaptability, and driving range in hybrid electric vehicle applications.</p>\u0000 </div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exoelectrogens in MFC Integrated Wastewater Treatment and Electricity Production (SDGs 7 and 13): Electron Transfer Pathway, SWOT, and Techno-Economic Analysis MFC集成废水处理和发电（可持续发展目标7和13）中的放出电：电子传递途径，SWOT和技术经济分析

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-07-31 DOI: 10.1002/fuce.70138

K. Alagar, R. Sathish Kumar, J. Arun

{"title":"Exoelectrogens in MFC Integrated Wastewater Treatment and Electricity Production (SDGs 7 and 13): Electron Transfer Pathway, SWOT, and Techno-Economic Analysis","authors":"K. Alagar, R. Sathish Kumar, J. Arun","doi":"10.1002/fuce.70138","DOIUrl":"https://doi.org/10.1002/fuce.70138","url":null,"abstract":"<div>\u0000 \u0000 <p>Microbial fuel cells (MFCs) are bio-electrochemical systems which utilize the metabolic processes of exoelectrogenic bacteria (EEB) to produce electricity during wastewater treatment. EEB have specialized extracellular electron transfer (EET) ability to transfer electrons from organic substrates to surface objects like anodes. As a substrate and microbial environment, wastewater enables EEB in MFCs to oxidize organic substances, transferring electrons to the anode and concurrently reducing COD levels through electricity generation. MFC performances were majorly affected by substrate content, microbial consortium composition, electrode material, and operational parameters. Emerging developments in electrode configuration, process configurations, and mechanisms of EET provided the scope for enhancing the efficiency of MFC. MFCs are emerging as a potential technology aligning with Sustainable Development Goals (SDGs) 7 and 13 for electricity generation and wastewater treatment. SWOT analysis serves as a critical tool in MFC studies by providing a comprehensive evaluation of the technology's internal capabilities and external environment. This helps to identify the core strengths, such as waste valorization and eco-friendly energy generation, while highlighting the critical weaknesses, like low power density and higher material costs. The techno-economic analysis of MFCs is a critical factor determining their large-scale commercialization for wastewater treatment and bioenergy production. Development of hybrid systems, addressing scalability limitations, competing conventional technologies, will be a key challenge for the successful commercialization of the MFC technique in the future.</p>\u0000 </div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148617199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulation-Based Design and Evaluation of an Alkaline Direct Glycerol Fuel Cell Stack With Integrated Purification 基于仿真的综合净化碱性直接甘油燃料电池堆设计与评价

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-07-31 DOI: 10.1002/fuce.70142

Alessandra Pezzini, Ruy de Sousa Júnior

{"title":"Simulation-Based Design and Evaluation of an Alkaline Direct Glycerol Fuel Cell Stack With Integrated Purification","authors":"Alessandra Pezzini, Ruy de Sousa Júnior","doi":"10.1002/fuce.70142","DOIUrl":"https://doi.org/10.1002/fuce.70142","url":null,"abstract":"<p>Direct glycerol fuel cells (DGFCs) are a promising technology, but scaling them remains a challenge due to persistent technological and economic limitations. In this context, process simulation and modeling emerge as crucial tools. This study addresses the implementation of a conventional alkaline DGFC stack model in Aspen Plus and proposes a physically viable process for the separation and purification of glycerol oxidation products, with a technical evaluation of both processes. On the basis of a unitary cell model developed by the research group, previously validated against experimental data, a 150-cell stack model was simulated in Aspen Plus under the conditions of 60°C, 1.1 bar, and a membrane electrode assembly area (<i>A</i><sub>MEA</sub>) of 0.8 m<sup>2</sup>. Polarization curves and stack efficiency values were obtained, and the condition with peak power and good efficiency was then selected for the subsequent purification process, which consisted of pre-separations and a series of vacuum distillation columns. The stack results showed a generated peak power of 27.1 kW, at a current density of 11.3 A cm<sup>−2</sup>. All products from the electro-oxidation of glycerol in the DGFC stack were successfully separated and purified, achieving a high purity for all components, with most exceeding 99%, which allows for the production of high-value commercial products. This simulation-based approach can represent a significant contribution for the modeling and simulation collection of DGFCs, within the framework of simulating cells in integrated systems, for energy conversion and production of high-value-added chemicals.</p>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fuce.70142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148617322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structure–Performance Relationships of Commercial Cathode Gas Diffusion Layers in High-Temperature PEM Fuel Cells 高温PEM燃料电池商用阴极气体扩散层的结构-性能关系

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-07-27 DOI: 10.1002/fuce.70137

Ahyeon Won, Harshal Agarwal, Suresha Ranganath, Arun Torris, Carsten Cremers, Jens Tübke

{"title":"Structure–Performance Relationships of Commercial Cathode Gas Diffusion Layers in High-Temperature PEM Fuel Cells","authors":"Ahyeon Won, Harshal Agarwal, Suresha Ranganath, Arun Torris, Carsten Cremers, Jens Tübke","doi":"10.1002/fuce.70137","DOIUrl":"https://doi.org/10.1002/fuce.70137","url":null,"abstract":"<p>The influence of cathode gas diffusion layer (GDL) architecture on the performance of high-temperature proton exchange membrane fuel cells (HT-PEMFCs) remains insufficiently understood, particularly for commercially available materials with different substrate and microporous layer (MPL) designs. In this study, six commercial cathode GDLs were systematically compared using polarization analysis, electrochemical impedance spectroscopy, contact-angle measurement, scanning electron microscopy, mercury intrusion porosimetry, x-ray computed tomography, and COMSOL simulation. SGL 36BB and 22BB showed the best performance under both H<sub>2</sub>/Air and H<sub>2</sub>/O<sub>2,</sub> reaching maximum power densities of 0.445 ± 0.005 and 0.426 ± 0.011 W/cm<sup>2</sup>, whereas H23C2 performed worst at 0.302 ± 0.008 W/cm<sup>2</sup>. The electrochemical and structural results indicate that backing-layer hydrophobic treatment and MPL architecture play a critical role in phosphoric acid management and transport losses, whereas porosity alone does not fully explain the observed performance ranking. The simulation reproduced the overall experimental trend for most GDLs, while the deviation observed for H23C2 suggests that acid-related effects should be more explicitly considered in future modeling of HT-PEMFC GDLs.</p>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fuce.70137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Parameter Identification of Semi-Empirical PEMFC Models Using a Stabilized Improved Tornado Optimizer 基于稳定改进Tornado优化器的半经验PEMFC模型鲁棒参数辨识

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-07-26 DOI: 10.1002/fuce.70135

Fengyongkang Wu, Xiang Liu, Huaan Li, Muqun Wang, Hao Zhou

{"title":"Robust Parameter Identification of Semi-Empirical PEMFC Models Using a Stabilized Improved Tornado Optimizer","authors":"Fengyongkang Wu, Xiang Liu, Huaan Li, Muqun Wang, Hao Zhou","doi":"10.1002/fuce.70135","DOIUrl":"https://doi.org/10.1002/fuce.70135","url":null,"abstract":"<div>\u0000 \u0000 <p>This study presents an improved tornado optimizer with a Coriolis-force-inspired mechanism (ITOC) for robust parameter identification of semi-empirical proton exchange membrane fuel cell (PEMFC) models. To alleviate premature convergence and unstable local refinement in highly nonlinear calibration problems, ITOC integrates chaotic initialization, cooperative evolution of multiple air masses, reverse-flow perturbation, differential learning, and an adaptive trust-region local refinement strategy. The Coriolis term is numerically stabilized to generate smoother search trajectories and improved convergence reliability. The proposed method is first examined on eight benchmark functions, demonstrating strong accuracy and robustness compared with representative methods considered in this work. It is then validated on four commercial PEMFC stacks (BCS 500 W, Nedstack PS-6, a 250 W FC stack, and SR-12). Across 30 independent runs, ITOC achieves lower fitting errors and smaller run-to-run variation. The identified parameters enable accurate reconstruction of polarization and power characteristics that agree well with experimental measurements; only minor deviations are observed at high current for SR-12, whereas the overall trend is preserved. These results indicate that ITOC provides a reliable tool for PEMFC model calibration and performance prediction in hydrogen energy conversion applications.</p>\u0000 </div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrochemical Parameter Extraction of Proton Exchange Membrane Fuel Cells Using a Modified Chaos and Lévy Flight–Driven Kepler Optimization Algorithm 基于改进混沌和lsamvy飞行驱动Kepler优化算法的质子交换膜燃料电池电化学参数提取

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-07-26 DOI: 10.1002/fuce.70140

Juncheng Deng, Dacui Zhou, Mei Tang, Ruike Huang

{"title":"Electrochemical Parameter Extraction of Proton Exchange Membrane Fuel Cells Using a Modified Chaos and Lévy Flight–Driven Kepler Optimization Algorithm","authors":"Juncheng Deng, Dacui Zhou, Mei Tang, Ruike Huang","doi":"10.1002/fuce.70140","DOIUrl":"https://doi.org/10.1002/fuce.70140","url":null,"abstract":"<div>\u0000 \u0000 <p>Proton exchangemembrane fuel cells (PEMFCs) are important electrochemical energy-conversion devices whose predictive simulation depends on reliable identification of charge-transport–related and polarization-related parameters. Extracting these parameters from nonlinear polarization data remains challenging because semi-empirical PEMFC models are strongly coupled, multimodal, and sensitive to operating conditions. To address this problem, this study develops a modified Kepler Optimization Algorithm driven by Modified Chaos and Lévy Flight (MCL-KOA) for electrochemical parameter extraction. The proposed method enhances population initialization through a modified chaotic mapping and improves late-stage local refinement through Lévy-flight perturbation, thereby strengthening global exploration and numerical stability. The framework is validated on three PEMFC data sets, including a 12 W Horizon H-12 micro-stack, a 6000 W NedStack PS6 industrial stack, and the 1000 W noisy FCLAB FC2 dynamic aging data set from the IEEE PHM 2014 Data Challenge. Compared with five benchmark optimizers, MCL-KOA consistently achieves the lowest sum of squared errors (SSE) while preserving the physical consistency of the reconstructed polarization characteristics. The results indicate that MCL-KOA effectively mitigates premature convergence in complex parameter spaces and provides a useful numerical tool for PEMFC modeling, diagnosis, and control-oriented analysis.</p></div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microbial Etching–Driven Ni/PPy Hybrid Anodes for High-Performance Sediment Microbial Fuel Cells 用于高性能沉积物微生物燃料电池的微生物蚀刻驱动Ni/PPy混合阳极

IF 3.1 4区工程技术

Fuel Cells Pub Date : 2026-07-23 DOI: 10.1002/fuce.70141

Shahrbanoo Malakdar, Erfan Zare, Erfan Nouri, Vahid Mottaghitalab

{"title":"Microbial Etching–Driven Ni/PPy Hybrid Anodes for High-Performance Sediment Microbial Fuel Cells","authors":"Shahrbanoo Malakdar, Erfan Zare, Erfan Nouri, Vahid Mottaghitalab","doi":"10.1002/fuce.70141","DOIUrl":"https://doi.org/10.1002/fuce.70141","url":null,"abstract":"<div>\u0000 \u0000 <p>The sediment microbial fuel cell (SMFC) is an emerging green technology for renewable energy generation and wastewater treatment. In this study, carbon-cloth anodes were modified by several methods, including acid, hot-acid, electrochemical oxidation, nickel (Ni) deposition, polypyrrole (PPy) coating, and a novel microbial-etching process that utilizes soil and water microorganisms to roughen the electrode surface biologically. The microbial etching created a porous, biocompatible surface that facilitated improved microorganism–electrode interactions and accelerated electron transfer, cutting the SMFC start-up time from 216 to 12 h. Compared with the unmodified anode (180 mV open-circuit voltage, 8.5 mW m<sup>−2</sup> power density), the etched anode coated with hybrid Ni/PPy achieved 900 mV, 911 mA m<sup>−2</sup>, and 892 mW m<sup>−2</sup>, respectively, representing nearly two orders of magnitude improvement in power output. Electrochemical impedance spectroscopy confirmed a sharp decline in charge-transfer resistance (from 7.11 to 1.03 Ω) following microbial etching and Ni/PPy coating. These results demonstrate that biologically driven surface engineering can effectively integrate with conductive polymer–metal hybrids to produce highly active, low-resistance anodes. The approach offers a sustainable and scalable route for enhancing SMFC efficiency through synergistic microbial–structural modification of carbon-based electrodes.</p>\u0000 </div>","PeriodicalId":12566,"journal":{"name":"Fuel Cells","volume":"26 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0