Coyote Optimization Algorithm-Based Energy Management Strategy for Fuel Cell Hybrid Power Systems

This research proposes an improved energy management strategy (EMS) for a fuel cell hybrid power system electric aircraft based on recently developed coyote optimization algorithm (COA). The suggested consists of cells and storage (ESS) to supply the required load in stable conditions. distribution performance electrical are determined by various sources. Consequently, having best is essential completing this work. EMS’s main objectives reduce hydrogen utilization increase source longevity. proposed with external maximization (COA-EEMS) equivalent consumption minimisation (COA-ECMS) tested help Opal-RT 5700 real-time HIL simulator MATLAB/Simulink. algorithms confirm their robustness higher efficiency minimizing compared existing algorithms. merits presented detailed