[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhao et al., 2023 - Google Patents

A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms

Zhao et al., 2023

Document ID
4453303622472958752
Author
Zhao L
Hong J
Yuan H
Ming P
Wei X
Dai H
Publication year
Publication venue
eTransportation

External Links

Snippet

Effective and accurate cell health status diagnosis is key to ensuring the stable operation of the fuel cell stack. The reliability of the current voltage value-based method is challenging due to the solid time-varying nature of fuel cells. This paper utilizes modified Shannon …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • H01M8/04537—Electric variables
    • H01M8/04634—Other electric variables, e.g. resistance or impedance
    • H01M8/04649—Other electric variables, e.g. resistance or impedance 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
    • H01M8/04313—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
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • 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
    • H01M8/0432—Temperature; Ambient temperature

Similar Documents

Publication Publication Date Title
Pan et al. Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach
Lin et al. Review on hydrogen fuel cell condition monitoring and prediction methods
Liu et al. Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review
Gu et al. Data-based flooding fault diagnosis of proton exchange membrane fuel cell systems using LSTM networks
Yuan et al. Quantitative analysis of internal polarization dynamics for polymer electrolyte membrane fuel cell by distribution of relaxation times of impedance
Guo et al. A state-of-health estimation method of lithium-ion batteries based on multi-feature extracted from constant current charging curve
Ou et al. A novel approach based on semi-empirical model for degradation prediction of fuel cells
Jouin et al. Prognostics and Health Management of PEMFC–State of the art and remaining challenges
Zhang et al. A health management review of proton exchange membrane fuel cell for electric vehicles: Failure mechanisms, diagnosis techniques and mitigation measures
Pahon et al. A signal-based method for fast PEMFC diagnosis
Pan et al. Health degradation assessment of proton exchange membrane fuel cell based on an analytical equivalent circuit model
Liu et al. A novel method for polymer electrolyte membrane fuel cell fault diagnosis using 2D data
Chen et al. Prognosis of fuel cell degradation under different applications using wavelet analysis and nonlinear autoregressive exogenous neural network
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
Mao et al. Polymer electrolyte membrane fuel cell fault diagnosis and sensor abnormality identification using sensor selection method
Zhao et al. A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms
Pahon et al. Signal-based diagnostic approach to enhance fuel cell durability
Zhang et al. The challenges in reliable determination of degradation rates and lifetime in polymer electrolyte membrane fuel cells
Benouioua et al. On the issue of the PEMFC operating fault identification: Generic analysis tool based on voltage pointwise singularity strengths
Davies et al. Expert diagnosis of polymer electrolyte fuel cells
Xiao et al. Water management fault diagnosis for proton-exchange membrane fuel cells based on deep learning methods
Du et al. A fault diagnosis model for proton exchange membrane fuel cell based on impedance identification with differential evolution algorithm
Jiang et al. Adaptive condition monitoring for fuel cells based on fast EIS and two-frequency impedance measurements
Huang et al. Experimental study of the performance degradation of proton exchange membrane fuel cell based on a multi-module stack under selected load profiles by clustering algorithm
Xiao et al. Fault diagnosis method for proton exchange membrane fuel cells based on EIS measurement optimization