A new energy automobile remaining mileage prediction method based on a neural network relates to the field of new energy automobiles, designs a bidirectional recurrent neural network BRNN, and can extract features from multiple time dimensions and capture dynamic change characteristics of time series data, so that a prediction model can more accurately reflect energy consumption changes in an actual driving process, and the prediction accuracy is improved. And the residual mileage prediction precision is improved. A multi-reservoir echo state network DAMESN model based on a zoom dot product attention mechanism is adopted to predict the remaining driving mileage, and a complex nonlinear relation is efficiently captured in combination with a depth feature vector and the zoom dot product attention mechanism, so that the generalization ability and the prediction precision of the model are enhanced, and meanwhile, the driving experience is optimized; a driver is helped to more accurately plan the journey, and the risk of electric quantity exhaustion is reduced.

    一种基于神经网络的新能源汽车剩余里程预测方法,涉及新能源汽车领域,设计了双向递归神经网络BRNN,能够从多时间维度提取特征并捕捉时序数据的动态变化特性,使得预测模型能够更准确地反映实际驾驶过程中能耗的变化,提高了剩余里程预测的精度。采用基于缩放点积注意力机制的多储层回声状态网络DAMESN模型进行剩余行驶里程预测,结合深度特征向量和缩放点积注意力机制高效捕捉复杂的非线性关系,增强了模型的泛化能力和预测精度的同时优化了驾驶体验,帮助驾驶者更准确地规划行程,减少电量耗尽的风险。


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    Titel :

    New energy automobile remaining mileage prediction method based on neural network


    Weitere Titelangaben:

    一种基于神经网络的新能源汽车剩余里程预测方法


    Beteiligte:
    CHEN HAIBO (Autor:in)

    Erscheinungsdatum :

    25.02.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES



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