This innovation is a multi-layer PCB board-based device for measuring the current density distribution in fuel cells. It addresses the need for a precise, cost-effective tool to monitor fuel cell performance in real-time without disrupting its operation.
Monitoring the performance of fuel cells requires a precise characterization technique to obtain current density distribution. Traditional methods are unsuitable as they can interfere with fuel cell operation. There is a need for a real-time diagnostic tool that can detect changes in current density distribution under various operating conditions, indicating potential issues like inhomogeneous reactant distribution, fuel leakage, and membrane failure. Additionally, it should be accurate, affordable and easy to integrate into existing fuel cell designs.
- The Multi-layer PCB design with segmented current collectors integrates easily into existing fuel cells for non-intrusive monitoring.
- High precision current distribution measurement using segmented current collectors & resistive layer, detects time-dependent changes in current density.
- Data acquisition system provides cost-effective, real-time insights into fuel cell health.
- Low power consumption allows efficient measurement without impacting performance.
- Early detection of issues, such as uneven reactant flow and performance degradation, is possible.
The prototype includes a multi-layer PCB with segmented current collector elements, resistive tracks, and voltage leads connected to a data acquisition system. It effectively measures current density distribution and identifies potential issues in fuel cell operations.
The technology is at a prototype stage, demonstrating effective monitoring and diagnostic capabilities in fuel cell systems.
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Improving the reliability and efficiency of fuel cells can significantly enhance clean energy production, reducing dependence on fossil fuels and lowering greenhouse gas emissions. This technology contributes to the advancement of sustainable energy solutions.
- Fuel cell performance monitoring.
- Real-time diagnostics of fuel cell operations.
- Detection of operational anomalies in fuel cells
698/MUM/2015
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