The invention discloses an electric vehicle standing abnormity identification method and device. The electric vehicle standing abnormity identification method comprises the following steps: acquiring data information in a preset time period, wherein the data information comprises an uploading time point and basic data information when the data is uploaded; acquiring vehicle data change information according to the data information of every two adjacent uploading time points; acquiring vehicle data change information meeting a to-be-judged condition as to-be-judged standing data; and according to the to-be-judged standing data, judging whether the vehicle is an abnormally used vehicle or not. By means of the electric vehicle standing abnormity identification method, on the basis of not increasing hardware, the use data uploaded to the cloud end by the vehicle can be identified, whether the vehicle has the standing abnormity behavior or not is judged, real-time reminding of the electric vehicle standing abnormity behavior for a user is achieved, the service life of a battery is prolonged, and the driving range of the vehicle is increased.

    本发明公开了一种电动汽车静置异常识别方法、装置。所述电动汽车静置异常识别方法包括:获取预设时间段内的数据信息,所述数据信息包括上传该数据时的上传时间点以及基本数据信息;根据每两个相邻的上传时间点的数据信息获取车辆数据变化信息;获取满足待判断条件的车辆数据变化信息作为待判断静置数据;根据所述待判断静置数据,判断该车辆是否属于异常使用车辆。通过本申请的电动汽车静置异常识别方法可以在不增加硬件的基础上,识别车辆上传到云端的使用数据,判断车辆是否存在静置异常行为,实现对用户进行电动汽车静置异常行为的实时提醒,提高了电池的使用寿命,提升车辆的续驶里程。


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    Title :

    Electric vehicle standing abnormity identification method and device


    Additional title:

    一种电动汽车静置异常识别方法及装置


    Contributors:
    PAN CHUIYU (author) / SUN HUANLI (author) / LI XUE (author) / XU YANAN (author) / LI XUEDA (author) / ZHANG ZHI (author) / RONG CHANGRU (author) / XU LICHAO (author)

    Publication date :

    2022-09-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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