Hydrogen/battery hybrid unmanned aerial vehicle (UAV) flights present unique challenges to the adaptability of energy management strategy (EMS) due to dynamic operating conditions (altitude, temperature, and humidity) and diverse flight modes (takeoff, cruising, and maneuvering). In this article, a novel multimode EMS is proposed. First, inspired by the variational Bayesian (VB) approach, a noise-adaptive parameter identification method is introduced to monitor the fuel cell (FC) characteristics in-flight. The identification results provide an online reference for energy management. Subsequently, a case recognition logic categorizes the flight mode into cruising and noncruising based on flight power variation. An online rule-based method is deployed for the noncruising case to prioritize system response, and a novel equivalent consumption minimization strategy (ECMS) is used to maximize system endurance during cruising. Extensive ground tests are conducted with a FC in a constant temperature and humidity chamber, and a flight test is carried out on a self-developed 3 kW FC/battery hybrid UAV. Experimental results show that the proposed method outperforms classic EMSs in terms of system efficiency and reduced system stress.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Noise-Adaptive Multimode Online Energy Management for PEMFC/Battery Hybrid UAVs


    Contributors:
    Guo, Xiaoyu (author) / Zeng, Dan (author) / Dong, Zhen (author) / Shen, Jiabin (author) / Liu, Yixing (author) / Yu, Xiang (author) / Liu, Lu (author)


    Publication date :

    2025-02-01


    Size :

    1951909 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    ENERGY MANAGEMENT STRATEGY OF HYBRID PEMFC-PV-BATTERY PROPULSION SYSTEM FOR LOW ALTITUDE UAVS (AIAA 2016-5109)

    Zhang, Xiaohui / Liu, Li / Xu, Guangtong | British Library Conference Proceedings | 2016



    PEMFC ENERGY MANAGEMENT SYSTEM FOR HYBRID ELECTRIC TRAM DRIVEN BY DUAL PEMFC AND BATTERY

    AHN KYOUNG KWAN / DO TRI CUONG | European Patent Office | 2023

    Free access

    Power and energy management of grid/PEMFC/battery/supercapacitor hybrid power sources for UPS applications

    Zhan, Yuedong / Guo, YouGuang / Zhu, Jianguo et al. | Tema Archive | 2015