The invention discloses a method for analyzing influence of driving behaviors on automobile endurance mileage based on big data, comprising the following steps: S1, acquiring original data, and establishing a model feature data set based on the original data; s2, data preprocessing; s3, selecting features, and determining a feature set; s4, establishing a machine learning prediction model, and performing model training; s5, evaluating the prediction performance of the machine learning prediction model; and S6, outputting regression coefficients of the characteristic factors, and sorting the regression coefficients from large to small. The advice about how to improve the driving behavior and increase the endurance mileage is provided for the user through the high impact factor, the user is helped to gradually improve the driving habit, the energy consumption waste is reduced, and the sustainability of the new energy automobile is improved.

    本发明公开了一种基于大数据分析驾驶行为对汽车续航里程影响的方法,包括以下步骤:S1.获取原始数据,并基于原始数据建立模型特征数据集;S2.数据预处理;S3.特征选择,并确定特征集合;S4.建立机器学习预测模型,并进行模型训练;S5.对机器学习预测模型的预测性能进行评估;S6.输出各特征因子的回归系数,并由大到小排序。本发明通过高影响因子为用户提供了关于如何改进其驾驶行为以及提升续航里程的建议,有助于用户逐步改善驾驶习惯,减少能耗浪费,提升新能源汽车的可持续性。


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    Titel :

    Method for analyzing influence of driving behaviors on automobile endurance mileage based on big data


    Weitere Titelangaben:

    一种基于大数据分析驾驶行为对汽车续航里程影响的方法


    Beteiligte:
    GONG YUEYING (Autor:in) / XING KE (Autor:in) / WANG PENG (Autor:in) / LIU PENGCHENG (Autor:in)

    Erscheinungsdatum :

    2024-04-26


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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