Benouioua et al., 2018 - Google Patents
On the issue of the PEMFC operating fault identification: Generic analysis tool based on voltage pointwise singularity strengthsBenouioua et al., 2018
View PDF- Document ID
- 10872075749669394396
- Author
- Benouioua D
- Candusso D
- Harel F
- Picard P
- Francois X
- Publication year
- Publication venue
- International Journal of Hydrogen Energy
External Links
Snippet
The purpose of this article is to study the portability of a non-intrusive and free of any external/internal disturbance diagnosis tool devoted to the monitoring of the State of Health (SoH) of PEM Fuel Cell (PEMFC) stack. The tool is based on a thorough analysis of the stack …
- 238000004458 analytical method 0 title abstract description 20
Classifications
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
- H01M8/04298—Processes for controlling fuel cells or fuel cell systems
- H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
- H01M8/04537—Electric variables
- H01M8/04544—Voltage
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/50—Fuel cells
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
- H01M8/04298—Processes for controlling fuel cells or fuel cell systems
- H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
- H01M8/04664—Failure or abnormal function
- H01M8/04679—Failure or abnormal function of fuel cell stacks
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
- H01M8/04298—Processes for controlling fuel cells or fuel cell systems
- H01M8/04694—Processes for controlling fuel cells or fuel cell systems characterised by variables to be controlled
- H01M8/04828—Humidity; Water content
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Benouioua et al. | On the issue of the PEMFC operating fault identification: Generic analysis tool based on voltage pointwise singularity strengths | |
Kheirandish et al. | Modeling of commercial proton exchange membrane fuel cell using support vector machine | |
Rao et al. | Shark Smell Optimizer applied to identify the optimal parameters of the proton exchange membrane fuel cell model | |
Zheng et al. | A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems | |
Steiner et al. | Diagnosis of polymer electrolyte fuel cells failure modes (flooding & drying out) by neural networks modeling | |
Mao et al. | Investigation of PEMFC fault diagnosis with consideration of sensor reliability | |
Liu et al. | Sequence fault diagnosis for PEMFC water management subsystem using deep learning with t-SNE | |
Pahon et al. | A signal-based method for fast PEMFC diagnosis | |
Wu et al. | Fault diagnosis and prognostic of solid oxide fuel cells | |
Costamagna et al. | Data-driven techniques for fault diagnosis in power generation plants based on solid oxide fuel cells | |
Cadet et al. | Diagnostic tools for PEMFCs: from conception to implementation | |
Kim et al. | Pre-diagnosis of flooding and drying in proton exchange membrane fuel cells by bagging ensemble deep learning models using long short-term memory and convolutional neural networks | |
Benouioua et al. | Fuel cell diagnosis method based on multifractal analysis of stack voltage signal | |
Benouioua et al. | PEMFC stack voltage singularity measurement and fault classification | |
Ma et al. | Online fault diagnosis for open-cathode PEMFC systems based on output voltage measurements and data-driven method | |
Zhou et al. | RETRACTED: Online adaptive water management fault diagnosis of PEMFC based on orthogonal linear discriminant analysis and relevance vector machine | |
Mao et al. | Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell | |
Mao et al. | Polymer electrolyte membrane fuel cell fault diagnosis and sensor abnormality identification using sensor selection method | |
Steiner et al. | Model-based diagnosis for proton exchange membrane fuel cells | |
Pahon et al. | Signal-based diagnostic approach to enhance fuel cell durability | |
Davies et al. | Expert diagnosis of polymer electrolyte fuel cells | |
Lv et al. | Deep learning-based fault diagnosis and Electrochemical Impedance Spectroscopy frequency selection method for Proton Exchange Membrane Fuel Cell | |
Lu et al. | Simultaneous fault diagnosis of proton exchange membrane fuel cell systems based on an Incremental Multi-label Classification Network | |
Liu et al. | A novel densely connected neural network for proton exchange membrane fuel cell fault diagnosis | |
Zhao et al. | A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms |