The invention relates to an electric vehicle energy consumption prediction method considering dynamic road network traffic flow. The method comprises the following steps of 1, obtaining driving behavior information of a user and historical traffic data of each road section; 2, performing correlation analysis on the driving behavior information of the user and the energy consumption information ofthe user, and selecting driving behavior factors with relatively high correlation with the energy consumption information; 3, performing driving type clustering on the driving behavior factors of theuser, and automatically classifying driving conditions under different driving behavior factor combinations of the electric vehicle; 4, outputting different types of driving conditions and corresponding energy consumption; 5, predicting road network traffic parameters of the acquired historical traffic data of each road section; 6, outputting prediction results of different time periods of each road section; and 7, performing clustering analysis by predicting future road condition parameters of the road section and driving behavior parameters in the standard. According to the method, the real-time change of the traffic flow of the dynamic road network is considered, and the energy consumption calculation is more accurate.

    本发明涉及一种考虑动态路网交通流的电动汽车能耗预测方法,包括如下步骤:一:获取用户的驾驶行为信息和各个路段的历史交通数据;二:将用户的驾驶行为信息与其能耗信息进行相关性分析,选取与能耗信息相关性较高的驾驶行为因素;三:对用户的驾驶行为因素进行驾驶类型聚类,自动分类电动汽车不同驾驶行为因素组合下的驾驶工况;四:输出不同类别的驾驶工况与相对应的能耗;五:将获取的各个路段的历史交通数据,进行路网交通参数的预测;六:输出各个路段的不同时段的预测结果;七:通过预测出路段的未来路况参数与标准中的驾驶行为参数进行聚类分析。本发明考虑动态路网交通流的实时变化,在进行能耗计算时,更加准确。


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    Title :

    Electric vehicle energy consumption prediction method considering dynamic road network traffic flow


    Additional title:

    一种考虑动态路网交通流的电动汽车能耗预测方法


    Contributors:
    LI LEI (author) / LIU WEIDONG (author) / LI XIAOHUI (author) / ZHAO XIN (author) / LIU XIAOCHEN (author) / ZHANG JIAN (author) / XIE QIN (author) / LI DAN (author) / XIA DONG (author) / XU JING (author)

    Publication date :

    2020-12-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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