The invention relates to the technical field of new energy automobile energy control, in particular to a new energy electric vehicle charging monitoring method and system based on artificial intelligence. The method comprises the following steps: obtaining charging original data of the new energy electric vehicle, analyzing the charging original data through a pre-trained charging monitoring model, and generating charging prediction data of the new energy electric vehicle. Wherein the charging original data comprises environment temperature, battery data of the new energy electric vehicle and user preference data, and the charging monitoring model is obtained by taking historical battery data, historical driving data and regional charging pile data of the new energy electric vehicle as a training data set for training. Charging prediction is carried out based on the charging original data, the charging monitoring model is trained in advance, and the accuracy of providing charging prediction for the user is improved.

    本申请涉及新能源汽车能源控制技术领域,尤其是涉及一种基于人工智能的新能源电车充电监测方法及系统。该方法包括:通过获取新能源电车的充电原始数据,通过预先训练的充电监测模型进行分析,生成新能源电车的充电预测数据。其中充电原始数据包括环境温度、新能源电车的电池数据和用户偏好数据,充电监测模型为根据新能源电车的历史电池数据、历史行驶数据、区域充电桩数据作为训练数据集训练得到。基于充电原始数据进行充电预测,并提前训练充电监测模型,提高为用户提供充电预测的准确性。


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    Title :

    New energy electric vehicle charging monitoring method and system based on artificial intelligence


    Additional title:

    一种基于人工智能的新能源电车充电监测方法及系统


    Contributors:
    LI HAOFAN (author) / WANG QI (author) / HWANG WOO-CHUL (author) / WEI LIU (author) / LI QUANBING (author) / CHI HAO (author) / TANG JIAMIN (author) / PENG JIANBIAO (author) / GAO YANFENG (author) / ZHOU ZIJUN (author)

    Publication date :

    2025-03-14


    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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