Intelligent power management (IPM) strategy is presented to control the fuel cell (FC)/battery-powered hybrid unmanned electrical aerial vehicle propulsion system. The IPM system shares the propulsion power demand between two power sources, by allowing the FC system to operate in maximum net power output. The IPM system, which manages FC system power output according to battery state of charge and load power variations, is based on the adaptive neuro fuzzy inference system (ANFIS). This power controller optimizes compressor motor voltage as a function of FC stack current density. The ANFIS-based controller estimation parameters, mean (


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive neuro fuzzy inference system-based intelligent power management strategies for fuel cell/battery driven unmanned electric aerial vehicle


    Contributors:


    Publication date :

    2010-01-01


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle

    Baz, Rachida / El Majdoub, Khalid / Giri, Fouad et al. | BASE | 2024

    Free access

    Hydrogen fuel cell power management system for unmanned aerial vehicle

    LI YONG / MA GAOSHAN / HAN FEIFEI et al. | European Patent Office | 2023

    Free access

    Intelligent battery management system special for unmanned aerial vehicle

    ZHU CHENGDU / LIAO ZAILIN | European Patent Office | 2021

    Free access

    UNMANNED AERIAL VEHICLE WITH FUEL CELL BATTERY COOLING SYSTEM

    SYCHEV IGOR ALEKSEEVICH / ERMUKHAMEDOV MAKSIM ALEKSANDROVICH / SERGEEV ANTON IGOREVICH et al. | European Patent Office | 2020

    Free access

    CELL ASSEMBLY, INTELLIGENT BATTERY, AND UNMANNED AERIAL VEHICLE

    ZHANG CAIHUI / LI PENG | European Patent Office | 2022

    Free access