Distributed Intelligence in Autonomous PEM Fuel Cell Control

A combination of perceptive and deliberative processes is necessary to ensure the efficient autonomous control proton exchange membrane fuel cells (PEMFCs) under optimal humidification conditions. These enable monitoring tasks across various application scenarios operating Consequently, it becomes crucial adjust parameter values corresponding different states PEMFC during its operation. In this context, work presents design development an architecture for management a with maximum power output 500 [W] based on intelligent agents conditions (membrane humidification). The proposed integrates perception action algorithms that leverage sensory contextual information using heuristic algorithms. It adopts hierarchical structure distinct layers, each featuring varying time windows levels abstraction. Notably, demonstrates effectiveness in achieving desired energy efficiency objective, as evidenced by successful validation tests conducted electrical delivered cell, encompassing three (dry, normal, flooded). An exemplary scheme dynamic polymeric membrane, which further highlights capabilities architecture.