PEM fuel cell low flow FDI

Niroumand, Amir M.; Mérida, Walter; Saif, Mehrdad

doi:10.1016/j.jprocont.2010.12.013

Cited by 26 publications

(12 citation statements)

References 23 publications

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“…However, S. Wasterlain [38] retained 5 classes: moderated drying, minor drying, light flooding, minor flooding and moderated flooding. Furthermore [21], distinguished the anode from the cathode [25], the amount of water in the membrane and in the electrodes.…”

Section: Determination Of Defect Classesmentioning

confidence: 99%

Diagnostic tools for PEMFCs: from conception to implementation

Cadet¹,

Jemeï²,

Druart³

et al. 2014

International Journal of Hydrogen Energy

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International audienceBy detecting and identifying degradation mechanisms, diagnostic tools are essential in avoiding premature ageing of PEM Fuel Cells. Indeed, the diagnosis of hazardous situations ensures the optimal management of operating conditions. This paper proposes several guidelines for choosing, designing and applying diagnostic tools for PEMFCs, focussing on developing objective criteria allowing an actual validation of the results. At the conceptual stage, methods to ensure the database representativeness of different degrees of flooding and drying, two typical faults in the PEM fuel cell, are discussed, and simple equations are given to estimate the relative humidity in the stack under applied operating condition. After the diagnostic tool has been realised, indicators to evaluate fault diagnosis performances are proposed. Implementation ability may be evaluated by cost criteria, which include equipment, consumed energy and consumed time. This paper demonstrates that a practical comparison of diagnosis methods is possible and provides new perspectives for establishing a benchmark in the diagnosis of fuel cells

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Section: Determination Of Defect Classesmentioning

confidence: 99%

Diagnostic tools for PEMFCs: from conception to implementation

Cadet¹,

Jemeï²,

Druart³

et al. 2014

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

show abstract

“…A significant problem associated with the operation of fuel-cell-based systems is supplying the fuel cell stack with an oxidizer and specifically to control its flow [11][12][13][14]. This issue has been widely considered in the literature [10,[15][16][17][18][19][20][21][22][23][24][25], and the proposed methods of controlling the oxidant flow The actual value of the oxygen flow intensity supplying the cathode of the fuel cell stack is determined so that the amount of gas fed into the stack is always greater than the stoichiometric value , which is expressed as…”

Section: Introductionmentioning

confidence: 99%

Simulation of Fuzzy Control of Oxygen Flow in PEM Fuel Cells

Polak

2020

Energies

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This paper presents an alternative approach to the flow control of an oxidizer in a proton exchange membrane (PEM) fuel cell system in which pure oxygen is the gas supplied to the cathode channel of the stack. The proposed oxygen flow control is implemented based on information about the current drawn from the fuel cell stack and the voltage variation in the stack. This information and a fuzzy-logic-based control algorithm are used to increase oxygen utilization in a PEM fuel cell system without a recirculation system in relation to the control, in which the oxygen flow rate is determined only in proportion to the current drawn from the stack. To verify the validity of the adopted assumptions, simulation tests of the proposed fuzzy control algorithm were conducted, for which parameters were adopted arbitrarily and determined with help of genetic algorithms. For simulation research, the proposed empirical mathematical model was used, which describes the mathematical relationship between voltage variation in the stack and the stoichiometry of oxygen flow through the cathode of a fuel cell stack. The simulation results confirm that the proposed control method leads to an increase in the oxygen utilization in the system without oxygen recirculation compared to an open system with cathode stoichiometry set to a constant level.

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“…Steiner et al (N.Y. Steiner, Hissel, Mocoteguy, & Candusso, 2011) proposed a wavelet analysis method that, utilizing only the stack voltage signal, allows the detection of the flooding based on the feature patterns obtained from the wavelet packet coefficients. Similarly, Niroumand et al (Niroumand, Merida, & Saif, 2011) used cell voltage oscillation to isolate cathode flooding.…”

Section: Introductionmentioning

confidence: 99%

An Unscented Kalman Filter Based on-line Diagnostic Approach For PEM Fuel Cell Flooding

Zhang

Pisu

2020

IJPHM

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Poor water management usually leads to various degrees of flooding in the hydrogen type fuel cell, affecting both the instantaneous performance and the long-term durability of the system adversely. While a lot of fuel cell diagnostic tools exist that could be utilized for the flooding diagnostics, most of these approaches are intrusive, requiring special modification to the fuel cell that affects its integrity, or special equipment (e.g. AC spectrometer) that adds to the complexity and cost of the system, and therefore are not considered to be a viable solution for the on-board integration of the diagnostic scheme.This paper proposes a model based approach for the fuel cell flooding diagnostics problem, utilizing only the cell current and voltage, and the inlet pressures of the fuel cell as the input signals of the diagnostic scheme. A diagnostic-oriented fuel cell system dynamic model is developed to incorporate the effects of the fault, i.e. the flooding, on the system dynamics. For simplicity, only the cathode channel flooding, the cathode gas diffusion layer (GDL) flooding, and the anode channel flooding are considered while we neglect the mass transport loss through the anode GDL. The cathode channel flooding and the GDL flooding diagnostic problems are decoupled and formulated as standard joint state and parameter estimation problems, with the amounts of the liquid water treated as varying system parameters to be identified. The unscented Kalman Filter technique has been applied to solve these problems. Simulation results validate the applicability of the cascading unscented Kalman filter design for flooding diagnostics.

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PEM fuel cell low flow FDI

Cited by 26 publications

References 23 publications

Diagnostic tools for PEMFCs: from conception to implementation

Diagnostic tools for PEMFCs: from conception to implementation

Simulation of Fuzzy Control of Oxygen Flow in PEM Fuel Cells

An Unscented Kalman Filter Based on-line Diagnostic Approach For PEM Fuel Cell Flooding

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