Abstract
Water flooding severely degrades the performance and lifespan of proton-exchange membrane fuel cells (PEMFCs), impeding their large-scale application. A water flooding diagnostic approach is proposed based on the uniformity of current density distribution. This is achieved by employing a dead-ended PEMFC equipped with a 36-subarea current density detection plate for high-accuracy positioning. Experimental results demonstrate a positive correlation between the standard deviation (SD) of current density distribution and cell water content, following the linear equation y = 0.093x + 59.22 (R2 = 0.955). Comparative tests show that constant voltage mode stabilizes water content at 78% ± 2% and SD at 380 ± 5 mA/cm2 to suppress flooding, whereas constant current mode leads to excessive water accumulation (92.2%) and a sharp SD surge to 619.0 mA/cm2, causing voltage collapse. Temperature tests (30–60 °C) confirm that elevated temperatures increase the visible water content inside the cell due to the condensation of water vapor, thereby enhancing current density inhomogeneity. This study establishes SD as a quantitative indicator for flooding severity, enabling precise localization of local flooding and providing critical guidance for PEMFC water management optimization.
| Original language | English |
|---|---|
| Article number | e70609 |
| Number of pages | 13 |
| Journal | Energy Technology |
| Volume | 14 |
| Issue number | 8 |
| Early online date | 3 Aug 2026 |
| DOIs | |
| Publication status | Published - Aug 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- current density distribution
- diagnosis strategy
- PEMFC
- standard deviation
- water flooding
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