Hybrid Fuel Cell/Battery Intelligent Energy Management system for UAV

Energy management strategy (EMS) for fuel cell and battery hybrid system is a fundamental property of controlling the flow of power between power sources. A key aspect of intelligent control strategy is controlling the flow of hybrid system power according to the change of load power and the variation of state of charge (SOC) of the battery. A case-study design, with in-depth analysis using ANFIS/Simulink toolbox is introduced. This paper provides an intelligent method based on adaptive neuro-fuzzy algorithm to be used for the UAV hybrid Energy Management Strategies. The major objective of this study is to investigate the effectiveness of the proposed method in maintaining a constant DC bus voltage. These studies provide important insights into the flow of power decisions based on the EMS in hybrid power systems.