The invention provides an electric bicycle charging method and system based on a mutual recognition mechanism, and relates to the technical field of battery management, and the method comprises the steps: detecting the state of a battery through a multi-sensor fusion algorithm, predicting the endurance mileage and charging demands through deep reinforcement learning, and predicting the destination and arrival time through track analysis; a charging pile is optimized based on a multi-constraint path planning model and an improved multi-target genetic algorithm, a target charging pile adopts dual encryption identity authentication, a self-adaptive charging control algorithm based on a fuzzy neural network is used for optimizing a charging process, and data is uploaded to a charging scheduling server.

    本发明提供一种基于互认机制的电动自行车充电方法及系统,涉及电池管理技术领域,包括:通过多传感器融合算法检测电池状态,采用深度强化学习预测续航里程和充电需求,结合轨迹分析预测目的地和到达时间,基于多约束路径规划模型和改进的多目标遗传算法优选充电桩,目标充电桩采用双重加密身份认证,使用基于模糊神经网络的自适应充电控制算法优化充电过程,并将数据上传至充电调度服务器。


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    Titel :

    Electric bicycle charging method and system based on mutual recognition mechanism


    Weitere Titelangaben:

    基于互认机制的电动自行车充电方法及系统


    Beteiligte:
    HU YUXIAO (Autor:in) / WANG WEI (Autor:in) / HU HAIBO (Autor:in) / HU YINGGE (Autor:in) / HU YINGZHE (Autor:in) / ZHONG WENYAN (Autor:in)

    Erscheinungsdatum :

    28.02.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    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



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