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This study presents a power management system (PMS) for a hybrid renewable-energy system (HRES) using hydrogen as an energy vector. The PMS is based on a fuzzy control system takes into account the uncertainties of the load demand and the power production from renewable energy sources (RES). The fuzzy control system evaluated differs of the traditional PMSs, as it considers a single-level prediction...
This work investigates the design and validation of a fuel cell management system (FCMS) which can perform when the fuel cell is at water freezing temperature. This FCMS is based on a new tracking technique with intelligent prediction, which combined the Maximum Efficiency Point Tracking with variable perturbation-current step and the fuzzy logic technique (MEPT-FL). Unlike conventional fuel cell...
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