To address the problem that the traditional fuzzy control strategy relies too much on expert advice and is difficult to cope with reasonable energy distribution under complex working conditions, this study takes the world’s first fuel cell hybrid ferry “FCS Alsterwasser” as the research object and proposes an energy management strategy based on the optimization of Gray Wolf algorithm. A simulation model is established in MATLAB/Simulink to construct the evaluation equations based on the power quality and system efficiency of Li-ion battery, and the instantaneous power balance, energy constraint, energy storage element SOC, and supercapacitor voltage are used as constraints to optimize the subordinate degree function of fuzzy control input and output using the Gray Wolf algorithm. Compared with the traditional fuzzy control strategy, the simulation results based on the typical working conditions show that the optimized composite energy storage system has reduced grid fluctuations when the working conditions change, and the lithium battery SOC value is basically kept near the ideal value of 0.75, and the service life is greatly improved. The feasibility of this study is verified. The proposed algorithm prolongs the service life of energy storage components, suppresses the fluctuation of bus voltage, and improves the quality of electrical energy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploring the optimization of energy management strategy for hybrid ships based on the Grey Wolf optimization algorithm


    Beteiligte:
    Shang, Qianming (Autor:in) / Sun, Yubo (Autor:in) / Zhou, Yi (Autor:in) / Yan, Li (Autor:in) / Wei, Chunke (Autor:in) / Hu, WenQing (Autor:in)


    Erscheinungsdatum :

    04.08.2023


    Format / Umfang :

    901624 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Combined Rule Based-Grey Wolf Optimization Energy Management Algorithm for Emission Reduction of Converted Plug-In Hybrid Electric Vehicle

    Lokhande, Makarand M. / Gujarathi, Pritam Keshavdas / Shah, Varsha A. | SAE Technical Papers | 2020


    Hybrid power assembly energy management method and system based on improved grey wolf algorithm

    YAN WEI / WANG JUNBO / ZHANG QI et al. | Europäisches Patentamt | 2023

    Freier Zugriff



    Grey Wolf Optimization-Based Active Disturbance Rejection Controller Design for a Hybrid Autogyro

    Hou, Jiajia / Liu, Xiuming / Chen, Mo et al. | British Library Conference Proceedings | 2022