Fuel Cell Aging Prediction Using Voltage, Active Area, Hydrogen Permeation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing fuel cell aging prediction methods rely on single indices, such as stack voltage or active area, which fail to comprehensively and accurately describe the attenuation of both external characteristics and internal materials, limiting the prediction accuracy of fuel cell lifespan.
Innovation Solution
A method integrating stack voltage, active area, and hydrogen permeation current to establish a mixed aging index, utilizing a depth residual network with a Spatial and Channel Squeeze & Excitation attention mechanism for prediction, and employing online measurement devices to gather data for training models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single aging index (stack voltage or active area) is used for prediction, then the prediction method is simple, but the prediction accuracy and comprehensiveness are insufficient
Solution Approach 1:
The patent combines multiple aging indices (stack voltage, active area, hydrogen permeation current) into a comprehensive mixed aging index system. This merging approach integrates external characteristic attenuation (voltage) with internal material attenuation (active area and membrane permeability) to achieve more accurate and comprehensive aging prediction while maintaining manageable system complexity through systematic data fusion.
2Reliability
If stack voltage is used as the aging index, then the output performance is directly characterized, but the internal material attenuation cannot be reflected
Solution Approach 1:
The patent segments the aging assessment into two distinct components: external characteristic assessment (stack voltage) and internal material assessment (active area and hydrogen permeation current). This segmentation allows each parameter to fulfill its specific function while the mixed aging index integrates both aspects, preventing information loss about internal material degradation.
Solution Approach 2:
The patent introduces active area and hydrogen permeation current as intermediary parameters that bridge the gap between external voltage characteristics and internal material states. These intermediaries provide indirect measurement of internal catalyst and membrane degradation, complementing the direct voltage measurement to form a complete aging picture.
3Loss of information
If active area is used as the aging index, then the internal material attenuation is characterized, but the external characteristic attenuation cannot be comprehensively described
Solution Approach 1:
The patent merges active area measurement (internal material) with stack voltage measurement (external characteristic) in the mixed aging index. This combination ensures that both internal catalyst layer degradation and external performance attenuation are captured, providing a comprehensive and reliable aging assessment that neither parameter could achieve alone.
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
Enhances the prediction of fuel cell aging by providing a more comprehensive and accurate assessment of external and internal material degradation, enabling timely adjustments to prolong the fuel cell's service life and facilitate commercialization.
Implementation Method 1
the anode catalyst layer hydrogen oxidation reaction catalytic active area
Implementation Method 2
a proton exchange membrane fuel cell vehicle
Implementation Method 3
the membrane proton conduction sulfonate group content
Implementation Method 4
the cathode catalyst layer oxygen reduction reaction catalytic active area
Data Source
AI summary
Provided is a fuel cell aging prediction method, a system thereof and a medium. The method includes the following steps: acquiring operation parameters and calculation parameters of a fuel cell corresponding to each historical moment in a historical time period, where the calculation parameters include a stack voltage, active area and a hydrogen permeation current; carrying out calculation based on the calculation parameters corresponding to the historical moment to obtain a mixed aging index corresponding to the historical moment; taking the operation parameters and the mixed aging index corresponding to each historical moment in the historical time period as inputs, and predicting the mixed aging index corresponding to the prediction moment by a mixed aging index prediction model.