The invention relates to a fuel cell vehicle energy management method considering preceding vehicle following, which comprises the following steps: collecting vehicle driving related data, and obtaining a vehicle speed prediction model by training an LSTM-BP neural network; constructing a whole vehicle power system model of the vehicle; inputting the current speed of the vehicle, the distance of the front vehicle and the speed of the front vehicle into a vehicle speed prediction model, outputting to obtain the vehicle speed in a prediction time domain, and inputting the vehicle speed into a whole vehicle power system model to obtain a vehicle demand driving sequence in the corresponding prediction time domain; based on the vehicle demand driving sequence, an optimal power distribution sequence in a limited time domain is determined by adopting an ECMS energy management algorithm; and according to the optimal fuel cell driving power, a vehicle hybrid power system controller executes and completes energy distribution. Compared with the prior art, the method has the advantages that the problem of following of the front vehicle is considered, optimal control over the fuel economy of the energy of the fuel cell vehicle can be achieved, and meanwhile the control real-time performance is improved.
本发明涉及一种考虑前车跟驰的燃料电池汽车能量管理方法,包括:收集车辆行驶相关数据,通过训练LSTM‑BP神经网络,得到车速预测模型;构建车辆的整车动力系统模型;将车辆当前速度、前车距离及前车速度输入车速预测模型,输出得到预测时域内车辆速度,并输入整车动力系统模型,得到对应预测时域内的车辆需求驱动序列;基于车辆需求驱动序列,采用ECMS能量管理算法,确定出有限时域内最优功率分配序列;根据最优的燃料电池驱动功率,由车辆混合动力系统控制器执行完成能量分配。与现有技术相比,本发明考虑前车跟驰问题,能够实现对燃料电池汽车能量的燃油经济性最优控制,同时提高控制的实时性。
Fuel cell vehicle energy management method considering following of front vehicle
一种考虑前车跟驰的燃料电池汽车能量管理方法
2024-10-15
Patent
Electronic Resource
Chinese
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