Fuel Cell Stack Health Monitoring Using Group Sensors

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Solution Overview

Problem

Existing fuel cell stacks face challenges in detecting and addressing non-systemic events, such as fuel cell reversal due to hydrogen starvation, which can lead to carbon corrosion and performance loss, as current monitoring methods are costly and ineffective in identifying small magnitude changes in individual fuel cells within the stack.

Innovation Solution

A fuel cell stack is organized into cell groups with group sensors and a controller that measures and compares electrical characteristics to thresholds, allowing for early detection and remediation of non-systemic events by adjusting reactant flow, thereby preventing systemic failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If cell voltage monitoring is placed on every cell in the stack, then detection precision of non-systemic events is improved, but device complexity and cost increase

Engineering Contradiction:
Improvedetection precisionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The fuel cell stack is divided into multiple cell groups, with each group monitored by a single sensor. This segmentation approach maintains detection capability while reducing the total number of sensors needed, thereby lowering device complexity and cost while still enabling identification of non-systemic events in individual cells within each group.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Multiple individual cell monitoring functions are merged into a single sensor per cell group. The sensor measures collective electrical characteristics of the group, and through signal processing, individual cell anomalies can be identified without requiring separate sensors for each cell, thus reducing overall system complexity.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If cell voltage monitoring is placed on every cell in the stack, then detection precision of non-systemic events is improved, but manufacturing cost increases

Engineering Contradiction:
Improvedetection precisionVSAvoidmanufacturing cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The stack is segmented into cell groups for monitoring purposes, allowing a single sensor to serve multiple cells. This reduces the bill of materials and manufacturing complexity, directly lowering production costs while maintaining adequate detection precision through group-level monitoring and analysis.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of deploying expensive individual sensors on every cell, a single sensor design is replicated and assigned to monitor groups of cells. This copying approach reduces component costs and simplifies manufacturing while the sensor's measurements are processed to infer individual cell status.

Inventive Principle:
Principle #26Copying

3Device complexity

If a single sensor monitors the entire stack, then device complexity is reduced, but measurement precision for individual cell events deteriorates

Engineering Contradiction:
Improvedevice complexityVSAvoidmeasurement precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The monitoring system is segmented into multiple cell groups, each with its own sensor. This intermediate level of segmentation between individual cell and entire stack allows the system to maintain low device complexity while achieving sufficient measurement precision to detect non-systemic events in individual cells within each group.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The monitoring approach transitions from a one-dimensional view (single stack-level sensor) to a multi-dimensional structure with multiple group-level sensors. This dimensional change enables the system to maintain simplicity while gaining the resolution needed to identify individual cell anomalies through comparative analysis of group measurements.

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

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 enables efficient detection and mitigation of non-systemic events, reducing the risk of carbon corrosion and performance loss, while minimizing the number of sensors and equipment needed, thus lowering costs and maintaining fuel cell stack performance.

Implementation Method 1

a group sensor which measures one or more electrical characteristics of the respective cell group

Methodology Applied
Scientific EffectElectrical resistance measurement: Electrical Resistance

Implementation Method 2

Fuel cells convert a fuel into usable electricity via chemical reaction

Methodology Applied
Scientific EffectElectrochemical reaction: Fuel Cell

Implementation Method 3

a pair of catalyzed electrodes are separated by an ion-transmissive electrolyte layer

Methodology Applied
Scientific EffectIon transport through membrane: Ion Exchange

Implementation Method 4

Another such effort may involve a catalyst that promotes preferential oxygen evolution reactions as a way to suppress competing carbon corrosion reactions

Methodology Applied
Scientific EffectCatalysis: Catalysis

Data Source

PatentUS10218018B2Fuel cell stack health monitoring using groups of fuel cells
Publication Date: 2019.02.26 HONDA MOTOR CO LTD
  • US10218018B2 patent drawing
  • US10218018B2 patent drawing
  • US10218018B2 patent drawing

AI summary

A fuel cell stack includes a plurality of cell groups and a controller wherein each cell group comprises a plurality of fuel cells and a group sensor which measures one or more electrical characteristics of the respective cell group. The controller comprises one or more processors and memory and is communicatively coupled to each group sensor. The one or more processors execute machine readable instructions to compare a measured electrical characteristic of each cell group to one or more thresholds stored in memory, and indicate the need for diagnostics of the fuel cell stack when the comparison indicates a non-systemic event.