A model-based diagnostic technique to enhance faults isolability in Solid Oxide Fuel Cell systems

Hydrogen Leakage Diagnosis for Proton Exchange Membrane Fuel Cell Systems: Methods and Suggestions on Its Application in Fuel Cell Vehicles

“…In [49,50,[115][116][117], various model-based methods and data-driven methods were proposed to diagnose the hydrogen leakage in the stack. Ingimundarson et al [115] diagnosed the hydrogen leakage in the stack with the difference between the mass flow rate of hydrogen supplied to the stack, the mass rate of hydrogen consumed by the reaction, and the mass flow rate of hydrogen due to the natural leakage.…”

“…Then the hydrogen crossover leakage in the stack was diagnosed by integrating the output of each neural network. Polverino et al [116] proposed a fault diagnosis method based on the isolated system component sub-models, which can realize the identification of the hydrogen leakage from solid oxide fuel cell stack. Compared with a complete model, the use of isolated sub-models can increase the generation of residuals that diagnostic information extraction can be improved.…”

An Intelligent Fault Diagnosis Method for Open-Circuit Faults in Power-Electronics Energy Conversion System

“…A model-based open-circuit fault diagnosis method was presented in [15] for singlephase three-level neutral-point-clamped converters in electric railway application, in which the changing rate of the grid current residual was adopted for diagnosis, and the mixed logical dynamic (MLD) model of the converter was built to estimate the grid current. A model-based diagnosis method was presented in [16] to improve fault isolability in Solid Oxide Fuel Cell (SOFC) energy conversion systems, these models provide a set of redundant residuals, which react only when the faults occur in the related components. A data mining based method was presented in [17] to identify and interpret the power consumption patterns and associations, which was able to identify energy consumption patterns and extract energy consumption rules in variable refrigerant flow systems.…”

Characterization of low and high frequency phenomena in a PEM fuel cell using singularity analysis of stack voltage

“…These works aim to improve the PEMFC performances as well as to increase the durability by proposing relevant diagnosis techniques and strategies. The model-based approaches [11][12][13][14] are part of these techniques. They are very cumbersome and complex because they require an in-depth knowledge of the multi-physical mechanisms (thermal, electrical, electrochemical, and fluidic ones) and they are based on numerous parameters governing the operation of a FC system.…”