The invention discloses an electric vehicle online energy consumption prediction method and system, and the method comprises the steps: loading vehicle type information, and obtaining the average hundred-kilometer energy consumption P0 of a vehicle type, and the energy consumption being energy consumption of a standard driving style, a standard road condition and non-high-temperature or low-temperature weather; calculating an energy consumption correction coefficient ke; acquiring driving information of a preset number of vehicles of the same vehicle type which are driven on the current driving road section, classifying the vehicles according to the personal driving style, the congestion degree and the weather recorded after driving to the destination, averaging the actual energy consumption in each class, and further converting the average hundred-kilometer energy consumption of the road section to obtain the ratio of the average hundred-kilometer energy consumption to the standard hundred-kilometer energy consumption P0, namely ke in different styles, congestion degrees and weathers; and calculating and updating the current hundred-kilometer energy consumption P and the driving range E of the vehicle in real time in each execution period, wherein P is equal to keP0, E is equal to 100 Q.C/P, Q is the current battery capacity percentage, and C is the total energy of the batteryof the vehicle. Therefore, the vehicle type in a traditional algorithm is considered, the driving behavior is additionally considered, and the energy consumption prediction is more accurate.

    本发明公开了电动车辆在线能耗预测方法及系统,预测方法包括:载入车型信息,获取该车型平均百公里能耗P,能耗为标准驾驶风格、标准路况、非高温或低温天气下的能耗;计算能耗修正系数k:获取当前行驶路段的行驶过的预设数量的同车型车辆的驾驶信息,根据行驶至目的地后记录的个人驾驶风格、拥堵程度、天气进行分类,对每类中的实际耗能取平均值,进而换算出该路段的平均百公里能耗,与标准百公里能耗P之比值即为不同风格、拥堵程度、天气下的k;计算本车辆当前百公里能耗P和续驶里程E,并在每个执行周期实时更新,其中,P=kP,E=100Q·C/P,其中Q为当前电池电量百分比,C为本车电池总能量。由此,不仅考虑传统算法中的车型,增加了对驾驶行为的考虑,能耗预测更准确。


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    Titel :

    Electric vehicle online energy consumption prediction method and system


    Weitere Titelangaben:

    电动车辆在线能耗预测方法及系统


    Beteiligte:
    ZOU YUAN (Autor:in) / ZHANG ZHAOLONG (Autor:in) / ZHANG XUDONG (Autor:in) / WANG HAN (Autor:in) / SUN FENGCHUN (Autor:in)

    Erscheinungsdatum :

    2020-07-28


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

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



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