The invention discloses an electric vehicle energy consumption prediction method and device and a nonvolatile storage medium. The method comprises the steps that electric vehicle energy consumption data time sequences and predictive factors corresponding to a plurality of sub-areas in a target area are acquired, and the predictive factors represent factors influencing electric vehicle energy consumption; on the basis of the prediction factor and the electric vehicle energy consumption data time series corresponding to the multiple sub-regions, predicting future energy consumption conditions corresponding to the multiple sub-regions; acquiring historical electric vehicle energy consumption data corresponding to the target area; and based on the historical electric vehicle energy consumption data and the future energy consumption conditions corresponding to the plurality of sub-regions, predicting the future energy consumption condition corresponding to the target region. The technical problem that the prediction efficiency and precision are low due to the fact that an existing electric vehicle energy consumption prediction method cannot effectively process periodicity and volatility of large-scale electric vehicles is solved.

    本发明公开了一种电动汽车能耗预测方法、装置和非易失性存储介质。其中,该方法包括:获取目标区域中多个子区域各自对应的电动汽车能耗数据时间序列和预测因子,其中,预测因子表征影响电动汽车能耗的因素;基于预测因子和多个子区域各自对应的电动汽车能耗数据时间序列,预测多个子区域各自对应的未来能耗情况;获取目标区域对应的历史电动汽车能耗数据;基于历史电动汽车能耗数据和多个子区域各自对应的未来能耗情况,预测目标区域对应的未来能耗情况。本发明解决了目前的电动汽车能耗的预测方法无法有效处理大规模电动汽车的周期性与波动性导致预测效率与精度较低的技术问题。


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    Title :

    Electric vehicle energy consumption prediction method and device and nonvolatile storage medium


    Additional title:

    电动汽车能耗预测方法、装置和非易失性存储介质


    Contributors:
    MA LONGFEI (author) / ZHANG BAOQUN (author) / ZENG JIANI (author) / WANG LIYONG (author) / WANG QIONG (author) / WANG HONGBIAO (author) / JIAO RAN (author) / GONG CHENG (author)

    Publication date :

    2024-12-31


    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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