The embodiment of the invention provides an electric vehicle endurance mileage prediction method and device, and relates to the technical field of data processing, and the method specifically comprises the steps: obtaining a target vehicle operation data set; generating a target corresponding relation between the vehicle residual electric quantity value and the vehicle endurance mileage based on the vehicle residual electric quantity value and the accumulated driving mileage in the target vehicle operation data set; generating an input sample data set and an output sample data set according to the target vehicle operation data set and the target corresponding relation; the input sample data set comprises a plurality of sample vehicle operation data subsets and a sample vehicle remaining power value subset; the output sample data set comprises a sample vehicle endurance mileage subset; and training an initial time sequence model through the input sample data set and the output sample data set to generate a target vehicle mileage prediction model. According to the invention, the precision of predicting the endurance mileage of the vehicle can be improved.

    本申请实施例提供了一种电动汽车续航里程预测方法及装置,涉及数据处理技术领域,该方法具体为:获取目标车辆运行数据集;基于所述目标车辆运行数据集中的车辆剩余电量值和累计行驶里程,以生成所述车辆剩余电量值和所述车辆续航里程之间的目标对应关系;根据所述目标车辆运行数据集、以及所述目标对应关系,生成输入样本数据集和输出样本数据集;所述输入样本数据集包括:多个样本车辆运行数据子集、样本车辆剩余电量值子集;所述输出样本数据集包括样本车辆续航里程子集;通过所述输入样本数据集和所述输出样本数据集对初始时间序列模型进行训练,生成目标车辆里程预测模型。本申请能够提高在预测车辆续航里程时的精度。


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    Title :

    Method and device for predicting endurance mileage of electric vehicle


    Additional title:

    一种电动汽车续航里程预测方法及装置


    Contributors:
    MA XINWEI (author) / LI JIA'AO (author) / LU HAO (author) / ZHENG HUI (author) / CHEN SHOUJIA (author) / GUO PEILUN (author)

    Publication date :

    2025-02-14


    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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