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Real-Time Flooding Diagnosis for Dead-Ended PEMFCs Under Dynamic Loads Using Current Density Distribution

Yuxi Zhao, Houchang Pei*, Lu Xing

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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 languageEnglish
Article numbere70609
Number of pages13
JournalEnergy Technology
Volume14
Issue number8
Early online date3 Aug 2026
DOIs
Publication statusPublished - Aug 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • current density distribution
  • diagnosis strategy
  • PEMFC
  • standard deviation
  • water flooding

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