The invention discloses a more-electric aircraft hybrid energy management method based on random model prediction, which is used for solving the problem that a common energy management strategy has limitation on a hybrid energy system and is poor in applicability. A hybrid energy system architecture composed of a three-stage generator, a lithium ion battery, a super capacitor, an AC/DC converter and a bidirectional DC-DC converter adopts the combination of dynamic planning and multi-step real-time difference in rolling optimization calculation to weight the time step length, so as to ensure that the output voltage fluctuation of the generator is small, the output power is stable, and the output power is stable. And the SOC of the lithium battery and the SOC of the super capacitor are in a safe operation interval, so that the model has relatively high practicability.

    本发明公开了一种基于随机模型预测的多电飞机混合能源能量管理方法,用于解决常用能量管理策略对于混合能源系统具有局限性和适用性差的问题,由三级式发电机、锂离子电池、超级电容器、AC/DC变换器和双向DC‑DC变换器组成的混合能源系统架构,在滚动优化计算中,采用动态规划与多步实时差分相结合,对时间步长进行加权,保证了发电机输出电压波动小、输出功率平稳,并且锂电池和超级电容的SOC均处于安全运行的区间,使模型具有较强的实用性。


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    Title :

    Multi-electric aircraft hybrid energy management method based on random model prediction


    Additional title:

    一种基于随机模型预测的多电飞机混合能源能量管理方法


    Contributors:
    WU YU (author) / XU GUOSHENG (author) / LI WEILIN (author) / WANG YUYANG (author) / HUANG WENXIAO (author) / ZHANG MINGXUAN (author) / DONG RUN (author)

    Publication date :

    2022-09-16


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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