LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Predicting performance stability of anion exchange membrane fuel cells

Photo from wikipedia

Abstract Anion-exchange membrane fuel cells (AEMFCs) are attracting increasing attention worldwide mainly due to this technology's potential to considerably reduce fuel cell device costs. However, their development and implementation is… Click to show full abstract

Abstract Anion-exchange membrane fuel cells (AEMFCs) are attracting increasing attention worldwide mainly due to this technology's potential to considerably reduce fuel cell device costs. However, their development and implementation is significantly handicapped by the membrane and ionomer's decomposition during cell operation. In this study we propose and apply a unique one-dimensional model capable of predicting, for the first time, the performance stability of AEMFCs. The model accounts for the ionomeric material degradation and its relationship with local hydration, which depends on cell material properties, design parameters and operating conditions. Using this model, we successfully demonstrate the strong impact of operating current density and membrane characteristics on the performance stability of a representative cell. The predicted cell stability provides critical insights for the design and development of highly stable AEMFCs. By using membranes with achievable targeted properties, the model predicts an AEMFC life-time higher than 5000 h, suitable for automotive applications.

Keywords: performance stability; anion exchange; membrane; stability; fuel

Journal Title: Journal of Power Sources
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.