The invention discloses a new energy automobile charging intelligent scheduling method based on deep reinforcement learning. The method comprises the steps of collecting and processing historical driving data; using a CNN-BiLSTM deep learning model to train the driving data of the day, and predicting the future charging demand, the charging behavior mode, the resource occupation condition, the user satisfaction trend and the price sensitivity; markov decision process modeling is carried out, a state space, an action space, a state transition probability and a reward function are defined, a strategy is updated by iteratively applying Q learning, and the target is to maximize long-term accumulated rewards; in each iteration step, the intelligent agent executes actions, observes results and rewards according to the current strategy, and updates the strategy to improve future decisions; the trained CNN-BiLSTM deep learning model is applied to an actual scene, the vehicle driving condition and the charging requirement are monitored in real time, real-time decision making is carried out according to the current state, and driving route planning and a charging strategy are executed.
本发明的一种基于深度强化学习的新能源汽车充电智能调度方法,包括:对历史行驶数据进行收集与处理;使用CNN‑BiLSTM深度学习模型对当日行驶数据进行训练,预测未来充电需求量、充电行为模式、资源占用情况、用户满意度趋势和价格敏感度;马尔可夫决策过程建模,定义状态空间、动作空间、状态转移概率和奖励函数,通过迭代地应用Q学习来更新策略,目标是最大化长期累计奖励;在每个迭代步骤中,智能体根据当前策略执行动作,观察结果和奖励,并更新其策略以改进未来的决策;将经过训练好的CNN‑BiLSTM深度学习模型应用到实际场景中,实时监测车辆行驶情况和充电需求,并根据当前状态进行实时决策、执行行驶路线规划和充电策略。
New energy automobile charging intelligent scheduling method based on deep reinforcement learning
一种基于深度强化学习的新能源汽车充电智能调度方法
2024-08-23
Patent
Electronic Resource
Chinese
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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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