This invention discloses an
intelligent control method and
system for PEM electrolyzers, relating to the field of
new energy technology. Addressing the problems of existing PEM electrolyzers under fluctuating operating conditions, such as difficulty in dynamically coordinating multiple physical fields, difficulty in sensing internal states, and the inability to balance operating efficiency and equipment lifespan, this invention proposes a multivariate collaborative optimization control based on the
Electrolysis Process State Function (EPSF). By calculating the
proton conduction efficiency function and the catalytic activity distribution optimization function in real time, the key internal states of the electrolyzer are accurately quantified. Furthermore, a
multivariate optimization objective function integrating efficiency and degradation cost is constructed and solved to obtain
optimal control parameters such as
current density and pressure online. A multi-timescale rolling optimization architecture and a parameter
online identification algorithm with a
forgetting factor are further introduced to achieve
synergy between
rapid response, efficiency optimization, and lifespan management. This invention significantly improves the operating efficiency, stability, and durability of PEM electrolyzers under dynamic loads.