The invention belongs to the field of electric forklifts, and particularly relates to a method for identifying the running state of an electric forklift in a manual awakening state, which comprises the following steps: step 1, a main control module acquires data of a power supply and dynamically determines a current distinguishing threshold value of a dynamic and static working mode; and step 2, the main control module carries out dynamic and static mode judgment. According to the method, the characteristics of the equipment in different working modes can be automatically analyzed, a reasonable equipment working mode distinguishing threshold value can be calculated, the working mode distinguishing requirements of equipment of different models or equipment of the same model in different use states and life cycles can be met, and the method has the characteristics of automatic learning and analysis and is very high in applicability.

    本发明属于电力叉车领域,具体涉及一种电力叉车人为唤醒状态下的运行状态识别方法,包括如下步骤:步骤1,主控模块采集供电电源的数据,并且动态确定动静态工作模式的电流区分阈值;步骤2,主控模块进行动静态模式判断。本发明能够自动分析设备在不同工作模式下的特性,并计算出合理的设备工作模式区分阈值,能够满足不同型号的设备、或者同一型号设备在不同使用状态和生命周期下的工作模式区分需求,具有自动学习分析的特征,有很强的适用性。


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    Title :

    Method for identifying operation state of electric forklift in artificial awakening state


    Additional title:

    一种电力叉车人为唤醒状态下的运行状态识别方法


    Contributors:
    ZHUANG WEICHAO (author) / LIU YONGQING (author) / XU QI (author)

    Publication date :

    2022-11-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR



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