Fuel Cell Stack Fault Diagnosis via Frequency Filtered Current

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Solution Overview

Problem

Current methods for diagnosing faults in fuel cell stacks, such as cell voltage monitoring and electrochemical impedance spectroscopy, are complex, expensive, and lack real-time monitoring capabilities, making it difficult to accurately detect faults within the stack.

Innovation Solution

A method involving the application of summed currents from different frequency regions to a fuel cell stack, using frequency filters to extract diagnosis data on total harmonic distortion (THD) and impedance, allowing for rapid fault diagnosis by analyzing the ratio of harmonic to basic wave frequencies and the wetting state of the electrolyte membrane.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If cell voltage monitoring apparatus directly monitors voltages of all cells, then position of fault cell can be monitored, but circuit configuration becomes very complicated and assembly/maintenance becomes difficult

Engineering Contradiction:
Improvefault detection capabilityVSAvoidcircuit configuration
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the monitoring function into segments: a simple voltage monitoring apparatus that only measures total voltage, and a separate controller that performs segmentation analysis by dividing the stack into multiple regions and calculating average voltages to identify fault locations without requiring complex wiring to each cell

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary processing layer in the controller that acts as a mediator between the simple voltage measurement and fault diagnosis. The controller processes the total voltage signal to extract fault information through regional analysis, eliminating the need for direct connection to each individual cell

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If electrochemical impedance spectroscopy is used for fault detection, then detailed electrode reaction information can be obtained, but test time becomes very long and real-time monitoring is not possible

Engineering Contradiction:
Improveelectrode reaction analysis capabilityVSAvoidtest time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent employs periodic action by using alternating current at specific frequencies to probe the fuel cell stack. Instead of continuous slow scanning, the system applies periodic AC signals and measures impedance responses at selected frequency points, enabling rapid assessment of electrode reaction states

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent changes the measurement parameters from traditional slow electrochemical impedance spectroscopy scanning to rapid impedance measurement at specific frequencies. By selecting critical frequency points and using AC excitation, the system achieves detailed electrode reaction analysis within seconds rather than extended test periods

Inventive Principle:
Principle #35Parameter changes

3Reliability

If traditional cell voltage monitoring is used, then voltage of cells can be monitored, but fault cause cannot be detected and diagnosis analysis capability is limited

Engineering Contradiction:
Improvefault detectionVSAvoidfault cause information
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent adds another dimension to fault diagnosis by introducing regional analysis. Instead of only monitoring overall voltage, the system divides the stack into multiple regions and analyzes voltage distribution across these regions, providing spatial dimension information that enables identification of fault locations and causes

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent applies AC excitation signals to the fuel cell stack, creating electrical vibrations that interact with the electrochemical processes. By analyzing the impedance response to these electrical vibrations at different frequencies, the system extracts detailed information about electrode reaction states and fault conditions

Inventive Principle:
Principle #18Mechanical vibration

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enhances diagnosis analysis capability, enabling faster and more accurate fault detection in fuel cell stacks by simultaneously monitoring impedance and THD, improving diagnosis analysis by two times or more.

Implementation Method 1

a fuel cell is a kind of power generating device that does not convert chemical energy of a fuel into heat by combustion, but converts the chemical energy into electrical energy by an electrochemical reaction in a stack

Methodology Applied
Scientific EffectElectrochemical reaction:

Implementation Method 2

a membrane electrode assembly (MEA) in which catalyst electrode layers in which an electrochemical reaction occur are attached to both sides of a solid polymer electrolyte membrane through which hydrogen ions move

Methodology Applied
Scientific EffectIon transport: Conduction (electrical)

Implementation Method 3

a gas diffusion layer (GLD) serving to uniformly distribute reaction gases

Methodology Applied
Scientific EffectDiffusion: Diffusion

Data Source

PatentUS9435865B2Method for diagnosing fault of fuel cell stack
Publication Date: 2016.09.06 HYUNDAI KEFICO CORP
  • US9435865B2 patent drawing
  • US9435865B2 patent drawing
  • US9435865B2 patent drawing

AI summary

Disclosed herein is a method for diagnosing a fault of a fuel cell stack, including: applying a summed current obtained by summing currents of different frequency regions to the fuel cell stack; passing output voltages of the fuel cell stack through each of the different frequency filters to extract the respective diagnosis data; and diagnosing whether or not a fault has been generated in the fuel cell stack using the respective diagnosis data. Therefore, it is possible to further improve diagnosis analysis capability by applying the summed current obtained by summing the currents of the different frequency regions to the fuel cell stack and then rapidly diagnosing the fault of the fuel cell stack using the diagnosis data obtained by filtering the output voltages of the fuel cell stack.