The invention provides a mileage prediction method and device for a new energy vehicle in a low electric quantity state. The method comprises the steps that when it is determined that the remaining electric quantity of a target vehicle is lower than a preset electric quantity threshold value, it is determined that the target vehicle is in a low-electric-quantity state; when the target vehicle is in the low-power state, first operation data, first battery state data and first environment data of the target vehicle are determined; inputting the first operation data, the first battery state data and the first environment data into a pre-established prediction model, so that the prediction model outputs a first predicted mileage of the target vehicle; wherein the prediction model is obtained based on historical data training of vehicles of the same type of the target vehicle, and the target vehicle is a new energy vehicle. According to the method, personalized and dynamic endurance mileage prediction for the low-power state of the new energy vehicle is realized, and the residual mileage prediction precision of the new energy vehicle in the low-power state is improved.

    本申请提供了一种新能源车在低电量状态下的里程预测方法及装置。该方法包括:当确定目标车辆的剩余电量低于预设的电量阈值,确定目标车辆处于低电量状态;当目标车辆处于低电量状态,确定目标车辆的第一运行数据、第一电池状态数据和第一环境数据;将第一运行数据、第一电池状态数据和第一环境数据输入预先建立的预测模型,以使预测模型输出目标车辆的第一预测里程;其中,预测模型基于目标车辆的同类型车的历史数据训练得到,目标车辆为新能源车。本申请实现了针对新能源车低电量状态的个性化和动态的续航里程预测,提高了新能源车在低电量状态下的剩余里程预测精度。


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    Title :

    Mileage prediction method and device for new energy vehicle in low electric quantity state


    Additional title:

    一种新能源车在低电量状态下的里程预测方法及装置


    Contributors:
    CHENG QINGQING (author) / CHEN YI (author) / SHI HEDI (author) / LI CHAO (author)

    Publication date :

    2024-03-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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