The invention relates to an electric vehicle charging planning method and device, computer equipment and a storage medium. The method comprises the steps that charging station data, road data and electric vehicle data are acquired, charging planning is conducted on the charging station data, the road data and the electric vehicle data through a deep reinforcement learning model, and a charging planning strategy with the minimum total charging time and the minimum distance deviation from a starting point to an end point is obtained. According to the deep reinforcement learning model, an electric vehicle charging planning optimization model is constructed according to an electric vehicle driving energy consumption model, an electric vehicle total charging time model and an electric vehicle starting point and terminal point deviation model, and the electric vehicle charging planning optimization model is modeled as a Markov decision process model. And constructing a deep Q-value neural network according to the Markov decision process model. By adopting the method, the influence of random factors faced by large-scale electric vehicle real-time charging planning can be effectively solved, and meanwhile, the accuracy and efficiency of electric vehicle charging planning are improved.

    本申请涉及一种电动汽车充电规划方法、装置、计算机设备和存储介质。所述方法包括:获取充电站数据、道路数据和电动汽车数据,通过深度强化学习模型对充电站数据、道路数据和电动汽车数据数据进行充电规划,得到总充电时间最小和起点到终点的距离偏差最小的充电规划策略。其中,深度强化学习模型是根据电动汽车行驶能耗模型、电动汽车总充电时间模型和电动汽车起点终点偏差模型构建电动汽车充电规划优化模型,将电动汽车充电规划优化模型建模为马尔科夫决策过程模型,根据马尔科夫决策过程模型构建得到深度Q值神经网络。采用本方法能够有效解决大规模电动汽车实时充电规划面临的随机性因素的影响,同时提高电动汽车充电规划的准确性与效率。


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    Title :

    Electric vehicle charging planning method and device, computer equipment and storage medium


    Additional title:

    电动汽车充电规划方法、装置、计算机设备和存储介质


    Contributors:
    GE JING (author) / LEE HOON (author) / HUANG PENG (author) / QIU XI (author) / HUANG ZHIFENG (author)

    Publication date :

    2024-02-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    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 / 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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