Fuel Cell Diffusion Media Spatial Mass Transport Optimization

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Solution Overview

Problem

Fuel cell durability and performance are compromised by hydration cycling, leading to inefficiencies in water management and spatially varying mass transport resistance, which affects proton conductivity and mechanical durability.

Innovation Solution

A method for selecting diffusion media with spatially varying mass transport resistance, optimizing fuel cell operating conditions by iteratively refining the diffusion media's effective diffusivity profile using computational models to achieve desired performance metrics, such as uniform relative humidity and current density distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If uniform diffusion media is used, then manufacturing is simple, but water management performance deteriorates due to inability to handle spatially varying mass transport resistance

Engineering Contradiction:
Improvediffusion media uniformityVSAvoidwater management capability
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The diffusion media is designed with spatially varying properties where different regions have different mass transport resistance characteristics. The upstream portion has lower resistance to prevent drying up, while the downstream portion has higher resistance to prevent flooding, optimizing water management at each location.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The diffusion media is divided into multiple portions along the flow direction, with each portion having independently optimized diffusion resistance. This segmentation allows tailored water management for different operational conditions throughout the fuel cell.

Inventive Principle:
Principle #1Segmentation

2Reliability

If diffusion media with spatially varying mass transport resistance is used, then water management improves, but device complexity increases

Engineering Contradiction:
Improvewater management capabilityVSAvoiddiffusion media structure
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The diffusion resistance parameter is systematically varied along the flow direction to optimize water management. By controlling the spatial distribution of mass transport resistance, the system achieves improved performance without requiring fundamentally new structural concepts.

Inventive Principle:
Principle #35Parameter changes

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

The method enhances fuel cell performance and durability by maintaining uniform hydration, reducing dehydration rates, and preventing flooding, thereby improving reliability and efficiency across varying operating conditions.

Implementation Method 1

GDM having a spatially varying mass transport resistance may be employed for water management in electrochemical fuel cells

Methodology Applied
Scientific EffectDiffusion: Diffusion

Data Source

PatentUS7829230B2Method for optimizing diffusion media with spatially varying mass transport resistance
Publication Date: 2010.11.09 GM GLOBAL TECHNOLOGY OPERATIONS LLC
  • US7829230B2 patent drawing
  • US7829230B2 patent drawing
  • US7829230B2 patent drawing

AI summary

A method for optimizing a fuel cell diffusion media having a spatially varying mass transport resistance is provided. The method includes at least two passes where a first-pass D/Deff profile for the fuel cell diffusion media is provided and applied to a computational model of the fuel cell having a baseline variable profile. At least one first-pass variable profile resulting from the application of the first-pass D/Deff profile to the computational mode is calculated and compared to a desired variable range. The first-pass D/Deff profile is refined, if necessary, to provide a second-pass D/Deff profile. A relative performance of the fuel cell with a second-pass variable profile resulting from an application of the second-pass D/Deff profile is determined. The second-pass D/Deff profile is refined, if necessary, until the second-pass variable profile has a desirable performance. An effective D/Deff profile is thereby provided.