Diagnosis of hydrogen crossover and emission in proton exchange membrane fuel cells

Mousa, Ghassan; DeVaal, Jake; Golnaraghi, Farid

doi:10.1016/j.ijhydene.2014.09.046

Cited by 12 publications

(3 citation statements)

References 16 publications

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“…Therefore, the effect of operating conditions and components on various internal processes can be analysed by EIS. For instance, a simple Randles circuit has been used by Mousa et al [29] to fit the impedance data and further predict stack voltages. The reduction of oxygen concentration can be detected by calculating the difference between predicted and measured voltages.…”

Section: Eismentioning

confidence: 99%

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A Review of Polymer Electrolyte Fuel Cells Fault Diagnosis: Progress and Perspectives

Zhou,

Jervis

2023

Chemistry Methods

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Polymer electrolyte fuel cells (PEFCs) are regarded as a substitution for the combustion engine with high energy conversion efficiency and zero CO2 emissions. Stable system operation requires control within a relatively narrow range of operating conditions to achieve the optimal output, leading to faults that can easily cause accelerated degradation when operating conditions deviate from the control targets. Performance recovery of the system can be realized through early fault diagnosis; therefore, accurate and effective diagnostic characterisation is vital for long‐term serving. A review of off‐line and on‐line techniques applied to the fault diagnosis of fuel cells is presented in this work. Off‐line approaches include electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), galvanostatic charge (GSC), visualisation‐based and image‐based techniques; the on‐line methods can be divided into model‐based, data‐driven, signal‐based and hybrid methods. Since each methodology has advantages and drawbacks, its effectiveness is analysed, and limitations are highlighted.

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Section: Eismentioning

confidence: 99%

Section: Fault Diagnosismentioning

confidence: 99%

A Review of Polymer Electrolyte Fuel Cells Fault Diagnosis: Progress and Perspectives

Zhou,

Jervis

2023

Chemistry Methods

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“…The electrochemical impedance spectroscopy (EIS) can be a useful tool for crossover diagnosis. Mousa et al describe spectra signatures that allow detecting crossover of a single cell , or inside a stack , however, this method does not provide quantitative information about the crossover level, and cannot detect small leaks. A direct visualization of hydrogen leaks can be also performed thanks to thermal imagery like in and .…”

Section: Introductionmentioning

confidence: 99%

Voltammetric Methods for Hydrogen Crossover Diagnosis in a PEMFC Stack

et al. 2016

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Fuel cell diagnosis is a key point for a large scale development of this technology. Gas crossover through the membrane is one of the most crucial faults that have to be detected. Several methods of crossover estimation exist, but this work focuses on voltammetry. The main purpose is to provide a method of stack diagnosis that can be deployed in an industrial context for in situ measurements. The method has to detect accurately which cell is damaged, and how high the gas crossover is. Two voltammetric methods are compared on different stacks. First, cyclic voltammetry is applied to every cell of the stack (cell CV), cell after cell. Then potential is applied to the entire stack with an equivalent sweep rate (stack cyclic voltammetry – stack CV). Results show that with stack CV, one cannot strictly access the crossover current of a cell, as cell voltages are indeed not homogeneous along the stack and the current is common for all cells. However, an empirical law that links cell voltages during a stack CV and their crossover currents can be built. It can be used as an abacus to diagnose the crossover of each individual cell with a single stack CV.

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