The invention provides a novel intelligent method for predicting the remaining mileage of a new energy automobile, the method is applied to data collection and model training of the automobile under complex working conditions, and the result predicted by a neural model is closer to a real value by establishing a driving behavior quantitative factor and is more accurate than the previous prediction method; according to the method, establishment of a neural network model under a complex working condition is realized, soc, a driving behavior quantification factor, an environment temperature, an electrical appliance load and a speed working condition are taken as input, so that various influence factors can be considered in a prediction influence range, and a prediction error range is further reduced.

    本发明专利提供了一种新型智能化对新能源汽车剩余里程预测的方法,该方法运用于复杂工况下汽车的数据收集及模型训练,并通过建立驾驶行为量化因子,使得神经模型预测的结果更加接近真实值,比以往的预测方法更加准确;该方法实现了在复杂工况下的神经网络模型建立,并将soc、驾驶行为量化因子、环境温度、用电器负荷、速度工况作为输入,使得多种影响因子都能被考虑进预测影响范围之内,进一步缩小预测误差范围。


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    Title :

    Electric vehicle remaining mileage prediction under quantitative driving behavior


    Additional title:

    量化驾驶行为下的电动汽车剩余里程预测


    Contributors:
    ZENG JIANBANG (author) / SHEN CHAOQUN (author) / LI JUN (author) / HUANG HAO (author) / HU YIFEI (author) / DUAN XINGBING (author) / QIN QINGMEI (author) / LI BINBIN (author)

    Publication date :

    2025-03-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    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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