A computer-implemented method for planning pre-departure charging of an electric vehicle includes predicting a user departure time based on a first machine learning prediction model. The method further includes determining a cabin temperature to be set for the user at the user departure time based on a second machine learning prediction model. The method further includes determining a battery temperature to be set at the user departure time based on a third machine learning prediction model. The method also includes determining a current charge level of a battery of the electric vehicle. The method further includes calculating a charge start time to start charging the battery based on one or more attributes of a charging station coupled to the electric vehicle, and based on the user departure time, the cabin temperature, and the battery temperature. The method further includes starting charging the battery at the charge start time.

    一种用于规划电动车辆出发前充电的计算机实现的方法,包括基于第一机器学习预测模型预测用户出发时间。该方法还包括基于第二机器学习预测模型确定在用户出发时间将为用户设定的车厢温度。该方法还包括基于第三机器学习预测模型确定在所述用户出发时间要设定的电池温度。该方法还包括确定电动车辆的电池的当前电量水平。该方法还包括基于电动车辆所联接的充电站的一个或多个属性,并基于用户出发时间、车厢温度和电池温度,计算开始对电池充电的充电开始时间。该方法还包括在充电开始时间开始对电池充电。


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    Titel :

    Charging planning before departure of electric vehicle


    Weitere Titelangaben:

    电动汽车出发前充电规划


    Beteiligte:
    TELPAES ANDREAS (Autor:in) / HERSHKOWITZ BRIAN (Autor:in) / BARON NICOLAS (Autor:in) / ERETH ROMAN (Autor:in) / KABISHER BORIS (Autor:in) / ZEBIB OLIVIER (Autor:in)

    Erscheinungsdatum :

    30.09.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

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



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