The invention discloses an energy recovery self-learning method, equipment and device and a storage medium. The method comprises the steps: obtaining the initial battery health degree, and determiningthe initial battery capacity according to the initial battery health degree; acquiring an energy recovery condition and a current battery health attenuation degree; determining the current battery capacity according to the initial battery capacity and the current battery health attenuation degree; determining the maximum energy recovery power of a current battery according to the energy recoverycondition and the current battery capacity; and performing energy recovery according to the maximum energy recovery power. The current battery capacity is determined according to the current battery health attenuation degree, and the maximum energy recovery power of the current battery is determined according to the energy recovery condition and the current battery capacity, so that compared withthe prior art, the energy recovery power corresponding to each stage of the battery can be determined without considering vehicle configuration, the energy recovery power is easy to adjust, and the development verification cycle is reduced.

    本发明公开了一种能量回收自学习方法、设备、存储介质及装置,本发明通过获取初始电池健康度,并根据所述初始电池健康度确定所述电池初始容量;获取能量回收条件和当前电池健康衰减度;根据所述电池初始容量和所述当前电池健康衰减度确定当前电池容量;根据所述能量回收条件以及当前电池容量确定当前电池的最大能量回收功率;根据所述最大能量回收功率进行能量回收。由于是根据当前电池健康衰减度确定当前电池容量,并通过能量回收条件和当前电池容量确定当前电池的最大能量回收功率,本发明相对于现有技术可以不考虑车辆配置确定电池各个阶段对应的能量回收功率,能量回收功率调整简易,减少开发验证周期。


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    Titel :

    Energy recovery self-learning method, equipment and device and storage medium


    Weitere Titelangaben:

    能量回收自学习方法、设备、存储介质及装置


    Beteiligte:
    HUANG QIUSHENG (Autor:in) / CHEN HAO (Autor:in) / LI DAPENG (Autor:in)

    Erscheinungsdatum :

    2020-12-25


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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