The invention aims to provide an energy management method of a hydrogen fuel cell hybrid electric vehicle. The energy management method comprises the following steps of 1), establishing an energy management system model of the hybrid electric vehicle, 2) collecting data of the hybrid electric vehicle under different working conditions, processing the data by utilizing a nearest neighbor method toobtain a universal demand power transfer probability matrix, and then obtaining an optimal hybrid electric vehicle energy management strategy by taking an energy storage system SOC and a total hydrogen consumption ECMS as learning targets, and 3) based on the hybrid electric vehicle energy management system model established in the step 1), combining the change rate of the required power and the SOC data of the lithium battery and the super capacitor, performing frequency division decoupling through an adaptive fuzzy low-pass filter, and performing energy management on the hydrogen fuel cell hybrid electric vehicle. The continuous space energy management strategy based on deep reinforcement learning has higher universality and real-time performance.
本发明的目的是提供一种氢燃料电池混合动力汽车的能量管理方法,包括以下步骤:步骤一):建立混合动力汽车能量管理系统模型;步骤二):采集混合动力汽车不同工况下的数据,利用最近邻方法,对上述的数据进行处理,获得具有普适性的需求功率转移概率矩阵,然后以储能系统SOC和总氢耗ECMS为学习目标,获得最优混合动力汽车能量管理策略;步骤三):基于步骤一)建立的混合动力汽车能量管理系统模型,结合需求功率的变化率、锂电池和超级电容SOC数据,并通过自适应模糊低通滤波器进行分频解耦,对氢燃料电池混合动力汽车进行能量管理。本发明采用基于深度强化学习的连续空间能量管理策略具有更强的普适性和实时性。
Energy management method of hydrogen fuel cell hybrid electric vehicle
一种氢燃料电池混合动力汽车的能量管理方法
2020-07-14
Patent
Elektronische Ressource
Chinesisch
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