The invention discloses an energy optimization management method and a distributed hybrid power system of an unmanned air transportation platform. According to the method, the power of a propulsion motor and the electric quantity of an energy storage battery are calculated according to the current of the energy storage battery; calculating first power of the engine for power propulsion of the unmanned air transportation platform; adding the first power and the power of the propulsion motor to obtain a platform power system power demand of the unmanned air transportation platform; calculating the fuel consumption rate of the engine according to the power demand of the platform power system and the electric quantity of the energy storage battery; calculating a Hamiltonian function according to the current of the energy storage battery and the fuel consumption rate of the engine; solving the minimum fuel consumption rate of the engine on the basis of a Hamiltonian function by adopting a Pontryya minimum value principle; constructing an optimization function of energy optimization management according to the minimum fuel consumption rate; and adjusting the output power of the engine and the propulsion motor based on the optimization function of the energy optimization management. According to the invention, energy management can be optimized, and the energy utilization efficiency is improved.

    本发明公开了一种能源优化管理方法及无人空运平台的分布式混合动力系统,本方法根据储能电池的电流计算推进电机的功率和储能电池的电量;计算发动机用于无人空运平台动力推进的第一功率;将第一功率和推进电机的功率相加,获得无人空运平台的平台动力系统功率需求;根据平台动力系统功率需求和储能电池的电量,计算发动机的燃油消耗速率;根据储能电池的电流和发动机的燃油消耗速率,计算哈密顿函数;采用庞特利雅金极小值原理,基于哈密顿函数求解出发动机的最小燃油消耗速率;根据最小燃油消耗速率,构建能源优化管理的优化函数;基于能源优化管理的优化函数,调整发动机和推进电机的输出功率。本发明能够最优化能源管理,提升能源利用效率。


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    Titel :

    Energy optimization management method and distributed hybrid power system of unmanned air transportation platform


    Weitere Titelangaben:

    能源优化管理方法及无人空运平台的分布式混合动力系统


    Beteiligte:
    ZHU BINGJIE (Autor:in) / GAO XIANZHONG (Autor:in) / LIU DUONENG (Autor:in) / YANG XIXIANG (Autor:in) / HOU ZHONGXI (Autor:in) / GUO ZHENG (Autor:in) / WU JUN (Autor:in) / DENG XIAOLONG (Autor:in) / LU YAFEI (Autor:in) / DONG BING (Autor:in)

    Erscheinungsdatum :

    2023-09-05


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B64U



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