The invention relates to the technical field of new energy automobile charging management, in particular to an intelligent charging and discharging optimization method and system for a new energy automobile charging station battery, and the method comprises the steps: constructing a charging demand prediction model through employing a long short-term neural network LSTM model, and predicting the charging demand of a future time period; constructing a multi-type optimized charging and discharging strategy which comprises a peak load shifting strategy and a new energy consumption strategy; a battery charging efficiency evaluation model is constructed, the charging efficiency is monitored in real time, and abnormity is warned in time; based on the evaluated battery charging efficiency, constructing a battery charging scheduling model of the charging station, and when a plurality of batteries are charged at the same time, solving a global optimal charging power distribution scheme; according to the method, multiple aspects of charging demand prediction, charging and discharging strategy optimization, battery efficiency evaluation, charging scheduling and the like are comprehensively considered, and an effective solution is provided for intelligent operation of the new energy automobile charging station.
本发明涉及新能源汽车充电管理技术领域,具体为新能源汽车充电站电池智能充放电优化方法及系统,方法包括:利用长短期神经网络LSTM模型,构建充电需求预测模型,预测未来时间段的充电需求;构建多类型优化充放电策略,包括削峰填谷策略和新能源消纳策略;构建电池充电效率评估模型,实时监测充电效率,及时预警异常;基于评估的电池充电效率,构建充电站的电池充电调度模型,在多个电池同时充电时,求解全局最优的充电功率分配方案;本发明综合考虑了充电需求预测、充放电策略优化、电池效率评估和充电调度等多个方面,为新能源汽车充电站的智能化运营提供了一种有效的解决方案。
New energy automobile charging station battery intelligent charging and discharging optimization method and system
新能源汽车充电站电池智能充放电优化方法及系统
2025-03-18
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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