Sensor development and optimization for a proton exchange membrane fuel cell system in automotive applications

Wang, Hanqing; Morando, Simon; Gaillard, Arnaud; Hissel, Daniel

doi:10.1016/j.jpowsour.2020.229415

Cited by 19 publications

(9 citation statements)

References 105 publications

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“…e performance of and emissions characteristics such as load and speed were changed using diesel, cotton seed oil blended with diesel fuel at a ratio of 10% to 20%, and the engine was tested using diesel, cotton seed oil blended with diesel fuel at a ratio of 10% to 20% [12]. e tests make use of Taguchi orthogonal arrays (OA).…”

Section: Methodsmentioning

confidence: 99%

Artificial Intelligence to Analyze the Performance of the Ceramic‐Coated Diesel Engine Using Digital Filter Optimization

Nirmala

Ramkumar

Sahoo

et al. 2021

Advances in Materials Science and Engineering

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The completeness of oil goods activates the barriers of lack of goods, inequality in the society, and surroundings impoverishment. Avoiding their use overnight and switching to clean electric motors are a challenge. Under all these conditions, researchers can launch their research on alternative fuels for a preeminent solution. Oxygenated fuel additives and thermal barrier coating (TBC) applications are essential to decrease the emission levels of exhaust and improve the performance of the vehicle. The main objective of this research is to analyze the performance of the ceramic-coated diesel engine. The ceramic particles use polymer coating to enhance the functionality and durability. Optimum outcomes are determined using Taguchi method. The impacts of various casting parameters of composites have been examined in detail. PSO-GA (Particle Swarm Optimization and Genetic Algorithm) is utilized to analyze the performance. Using an artificial neural network (ANN), the performance of diesel engine is examined to reduce time, cost, and experimental repetition. Thus, by using the artificial intelligence, the performance of the ceramic-coated diesel engine is analyzed and the polymeric substance and condition in coating ceramic engine is discussed.

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Section: Methodsmentioning

confidence: 99%

Artificial Intelligence to Analyze the Performance of the Ceramic‐Coated Diesel Engine Using Digital Filter Optimization

Nirmala

Ramkumar

Sahoo

et al. 2021

Advances in Materials Science and Engineering

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“…41 Today, the most fashionable physical sensors that are used for sensing the methanol concentration in fuel cells are • capacitance sensor • cefractive sensor • density sensor In capacitance sensors, a capacitor is used in which its dielectric is the aqueous methanol solution and consists of two electrodes immersed in the solution. 42,43 The concentration of the methanol is calibrated with a dielectric constant (ε*) of the capacitor. The dielectric constant and capacitance of the capacitor are computed as follows:…”

Section: Performance Evaluation Of Ethanol Sensorsmentioning

confidence: 99%

“…The optical method is applied in refractive sensors to detect the methanol concentration. In this method, temperature and concentration are measured by laser ray, which was proposed and developed by Fan and Longtin 42,165 in 2000. As shown in and convert the transmitted light back to a readable electrical signal (receiver).…”

Section: Performance Evaluation Of Ethanol Sensorsmentioning

confidence: 99%

“…There are several issues in the design and configuration of today’s sensors of gases, such as amperometry problems (leakage, corrosion, and volatilization) using biomaterials. − For example, the diffusion and the adsorption of hydrogen molecules on the Pt–air RE for electrochemical H 2 sensors, palladium delamination in several encounters in the mechanical sensor of H 2 , cross-sensibility, , solubility-related problems, − small operating ranges, − response time, the limit of detection, and the lifetime of gas sensors are widely investigated. − …”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Review of Fuel-Cell-Type Sensors for Gas Detection

Mehrpooya

Ganjali

Mousavi

et al. 2023

Ind. Eng. Chem. Res.

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Gas detection based on the electrochemical cells has recently been paid attention. Because of the many applications of fuel cell sensors, several investigations have been done on fuel-cell-type sensors for gas detection. In this study, the research works are categorized based on the type of the most used fuel cell sensors, such as CO, H2, methanol, and ethanol. Moreover, the manufacturing, applied technologies and the operating conditions of them, including the limit of detection, detection ranges, and response time of the fuel cells, are reviewed and discussed. Finally, according to the previous investigations that have been carried out, the gaps are introduced and evaluated to prepare beneficial suggestions for future investigations. According to the literature, humidity management using Pt–Cu/C is one of the most used manufacturing methods for improving a fuel cell sensor’s global and specific sensitivity. In addition, Nafion MEA with JM20 exhibits better detection performance of methanol sensors. Moreover, using nanotubes of multiwall carbon and nanoparticles of Pt–Pd in manufacturing shows proven improvements regarding the limit of detection and detection range for ethanol fuel cell sensors. PEFC-type sensor cells can improve the detection of CO to 0.2 ppm. Furthermore, the required targets for hydrogen fuel cell sensors in terms of safety and performance announced by the U.S. Department of Energy, for example, the response time of 1 s, are not reported in the open literature.

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“…A detailed review of the approaches applicable to PEFCs is beyond the scope of this work, but in the following, we aim to give a very brief overview of some key concepts (Wang et al , 2021; Sutharssan et al , 2017; Mitzel et al , 2020; Hinds, 2017).…”

Section: Introductionmentioning

confidence: 99%

Potentials of prognostics and health management for polymer electrolyte fuel cells in aviation applications

Ebner

Koops

2022

AEAT

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Purpose A reliable and safe operation of fuel cells (FCs) is imperative for their application in aviation, especially within the main powertrain. Moreover, performance and lifetime requirements for technical and economic viability are demanding compared to their stationary or road transportation counterparts, while the operating conditions are considered challenging. Prognostics and health management (PHM) could represent a powerful tool for enhancing reliability, durability and performance by detecting, predicting and/or mitigating relevant degradation and failure mechanisms. Against this backdrop, the authors consider it of high relevance to obtain an understanding of the effectiveness of PHM approaches for polymer electrolyte fuel cells (PEFCs) for future aircraft applications, which represents the aim of this paper. Design/methodology/approach In this study, the authors first discuss application relevant failure modes, review state-of-the-art PHM approaches and, consecutively, assess the potential of FC control strategies for aviation. Aiming for a tangible, comparable metric for this initial assessment, the authors apply a published remaining useful life prediction method to load profiles for a range of aviation-specific applications. Findings The authors’ analysis shows significant potentials for lifetime improvement by (partial) avoidance of high power operation and rapid load change through control strategies. Tapping into these theoretical potentials, however, requires significant developments in the field of PEFC PHM and a focus on aviation specific degradation and performance testing. Originality/value The novelty of this study lies in creating an understanding of the potential of avoiding or preventing certain degradation modes by means of PHM in the PEFC specifically in aviation applications.

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Sensor development and optimization for a proton exchange membrane fuel cell system in automotive applications

Cited by 19 publications

References 105 publications

Artificial Intelligence to Analyze the Performance of the Ceramic‐Coated Diesel Engine Using Digital Filter Optimization

Artificial Intelligence to Analyze the Performance of the Ceramic‐Coated Diesel Engine Using Digital Filter Optimization

Comprehensive Review of Fuel-Cell-Type Sensors for Gas Detection

Potentials of prognostics and health management for polymer electrolyte fuel cells in aviation applications

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