According to the hybrid power assembly energy management method and system based on the improved grey wolf algorithm, the traditional grey wolf algorithm is improved by using the dogvessel algorithm, the global search ability of the algorithm in the early stage is improved, and the support vector machine is optimized by using the improved grey wolf algorithm, so that the overall search ability of the algorithm in the early stage is improved. And finally, an optimal fuzzy control parameter is trained and predicted by using an improved support vector machine, a fuzzy controller under the parameter is used for performing fuzzy control on energy management of the hybrid power assembly, and an obtained power distribution coefficient is more suitable for different complex working conditions.

    本发明提出了提供了基于改进灰狼算法的混合动力总成能量管理方法及系统,使用樽海鞘算法对传统灰狼算法进行改进,提高算法前期的全局搜索能力,并使用改进的灰狼算法对支持向量机进行优化,最后使用改进的支持向量机训练预测出最优的模糊控制参数,使用该参数下的模糊控制器对混合动力总成的能量管理进行模糊控制,得出的功率分配系数更适应不同的复杂工况。


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    Titel :

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


    Weitere Titelangaben:

    基于改进灰狼算法的混合动力总成能量管理方法及系统


    Beteiligte:
    YAN WEI (Autor:in) / WANG JUNBO (Autor:in) / ZHANG QI (Autor:in) / WANG YONGCHAO (Autor:in) / HUANG YAJUN (Autor:in) / HU BIN (Autor:in)

    Erscheinungsdatum :

    2023-10-03


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion