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Multi-objective optimization of PEMFC performance based on the stacking model and multi-population multi-objective gray wolf optimizer
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AI
DOI：10.1016/j.cej.2026.178536.png)
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Abstract
En 中文
• The stacking model of PEMFC with high accuracy and generalization capability was established. • The MPMOGWO algorithm was developed for multi-objective optimization of PEMFC performance. • The power density growth rates across various voltages spanned from 19.90% to 63.47%. • The intrinsic mechanism of performance enhancement is elaborated based on 3D physical fields.
Keywords:
PEMFC
Three-dimensional CFD
Stacking prediction model
MPMOGWO algorithm
Intake parameter optimization
Journal
IF:
13.2
Papers:
7.4W
Citations:
48.5W