The invention relates to the technical field of energy management, in particular to a hybrid power system energy management algorithm, which comprises a working condition prediction module, a dynamic weight distribution module and a hierarchical execution module, and is characterized in that the working condition prediction module is used for fusing vehicle networking data and vehicle-mounted sensor data and generating a multi-dimensional working condition prediction result in a future time period; the dynamic weight distribution module calculates dynamic weight coefficients of different optimization targets in real time based on the working condition prediction result, and generates an optimization problem description file containing weight coefficient constraint conditions; a rolling optimization layer unit in the hierarchical execution module receives the optimization problem description file and solves a global optimal power distribution reference in a fixed time window; the dynamic compensation layer unit generates a compensation correction item for dynamically adjusting a weight coefficient according to a deviation value between a global optimal power distribution reference and a current vehicle state; and the real-time control layer unit converts the compensation correction item into a power distribution instruction, and synchronously updates the weight coefficient of the dynamic weight distribution module.
本发明涉及能量管理技术领域,具体为一种混合动力系统能量管理算法,包括工况预测模块、动态权重分配模块和分层执行模块,其中:工况预测模块用于融合车联网数据与车载传感器数据,并生成未来时段的多维度工况预测结果;动态权重分配模块基于工况预测结果实时计算不同优化目标的动态权重系数,并生成包含权重系数约束条件的优化问题描述文件;分层执行模块中的滚动优化层单元接收优化问题描述文件,在固定时间窗内求解全局最优功率分配基准;动态补偿层单元根据全局最优功率分配基准与当前车辆状态的偏差量,生成包含用于动态调整权重系数的补偿修正项;实时控制层单元将补偿修正项转换为动力分配指令,并同步更新动态权重分配模块的权重系数。
Hybrid power system energy management algorithm
一种混合动力系统能量管理算法
13.05.2025
Patent
Elektronische Ressource
Chinesisch
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