The invention belongs to the technical field of energy management of hybrid power systems, and discloses a quantum strategy learning energy management method and system for a multi-stack fuel cell hybrid power system, and the method comprises the steps: building a multi-stack fuel cell hybrid power system model which comprises a fuel cell power model, a lithium battery equivalent circuit model and power balance; constructing a quantum hybrid neural network, interacting with the established hybrid power system environment, distributing output power of different power sources, and constructing a state-action-reward set; the strategy is evaluated and updated on the basis of the collected state-action-reward data set, and then the energy management strategy is optimized. By fusing the variable component sub-circuit and the traditional neural network, efficient operation of the fuel cell system is ensured while the state of charge of the lithium battery is maintained in an ideal interval; and the gradient of the quantum circuit parameters is accurately calculated by using a parameter transfer rule, so that the optimization process of the quantum strategy learning energy management strategy is more accurate and efficient.
本发明属于混合动力系统的能量管理技术领域,公开了一种面向多堆燃料电池混合动力系统的量子策略学习能量管理方法及系统,包括:建立多堆燃料电池混合动力系统模型,包括燃料电池功率模型、锂电池等效电路模型及功率平衡;构建量子混合神经网络,与建立的混合动力系统环境交互,分配不同功率源的输出功率并构建状态-动作-奖励集合;在收集的状态-动作-奖励数据集的基础上评估和更新策略,进而优化能量管理策略。本发明通过融合变分量子电路与传统神经网络,保证锂电池的荷电状态维持在理想区间的同时确保燃料电池系统高效运行;利用参数转移规则精确计算量子电路参数的梯度,使得量子策略学习能量管理策略的优化过程更加精确和高效。
Quantum strategy learning energy management method of multi-stack fuel cell hybrid power system
多堆燃料电池混合动力系统的量子策略学习能量管理方法
2025-01-07
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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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