The invention discloses a method for predicting energy consumption in a future driving process based on a GRU network model. The method comprises steps of inputting variables having stronger correlation with battery energy consumption change in the running process of an electric vehicle into a GRU network, calculating the weight and deviation of input time sequence data, and storing optimal modelparameters by continuously adjusting parameter values of a model; obtaining the training result of the GRU network based on weight and deviation calculation; inputting a test sample to a working condition driving SOC prediction model, and outputting the prediction result; by training historical driving data, accurately predicting change of the battery energy consumption value of the electric vehicle in the future driving process. The method is advantaged in that a prediction error of the battery energy consumption in the future driving process of the electric vehicle is small, and prediction accuracy is effectively improved; by accurately predicting an energy consumption value, an endurance mileage of the electric vehicle under the future driving working condition can be accurately estimated, and thereby a driver of the electric vehicle is helped to establish driving mileage confidence.

    本发明公开了一种基于GRU网络模型预测未来行驶过程能耗的方法,将与电动汽车行驶过程中电池能耗变化有较强相关性的变量输入至GRU网络当中,计算输入时间序列数据的权重和偏向,通过不断调整模型的参数值,保存最优模型参数;基于权重和偏向计算获得GRU网络的训练结果;输入测试样本至工况行驶SOC预测模型,输出预测结果;通过对历史行车数据的训练,可准确预测电动汽车未来行驶过程中的电池能耗值变化。本发明对电动汽车未来行驶过程中的电池能耗预测误差小,有效提升了预测准确率。通过对能耗值进行精准预测,可以准确的估算出电动汽车在未来行驶工况下的续航里程,从而帮助电动汽车驾驶员建立行驶里程自信。


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    Title :

    Method for predicting energy consumption in future driving process based on GRU network model


    Additional title:

    基于GRU网络模型预测未来行驶过程能耗的方法


    Contributors:
    SHI QUAN (author) / ZHOU WEICHANG (author) / XU HUI (author) / SHAO YEQIN (author) / CAO YANG (author) / JING BINBIN (author)

    Publication date :

    2020-06-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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