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In this paper is presented the simulation and analysis of a Fuzzy Energy Management for Hybrid Fuel cell/Battery Systems used for More Electric Aircraft. The fuel cell hybrid system contains of fuel cell, lithium-ion batteries along with associated dc to dc boost converters. In this configuration the battery has a dc to dc converter, because it is an active in the system. The energy management scheme includes the rule based fuzzy logic strategy. This scheme has a faster response to load change and is more robust to measurement imprecisions. Simulation will be provided using Matlab/Simulink based models. Simulation results are given to show the overall system performance. [ABSTRACT FROM AUTHOR]

In this paper one presents a model and an analysis of a dc-to-dc Buck converter, in closed loop, from 24V to 12 V with a power of 500 W. Model is implemented in MATLAB/SIMULINK toolbox SIMPOWERSYS. Control system is a fuzzy logic one, Mamdani type, and using P.I. configuration. One opted for a fuzzy controller due to its flexibility in its configuration and tuning process, and also because it doesn’t need to know a mathematical model for the Buck converter. Fuzzy controller is composed of two sub-controllers in parallel, one for the proportional component and a second for integrative component. One proposes this configuration because fewer inference rules are necessary and also the tuning process is easily accomplished compared to a fuzzy controller with two inputs. Implemented model is validated by numerical simulations and the results are realistic and confirm the possibility to use this type of controller. [ABSTRACT FROM AUTHOR]