The invention relates to a fuel cell vehicle energy management strategy optimization method facing working condition demands. The method comprises an equivalent factor iteration updating module, a current moment working condition identification module, a future time domain working condition demand prediction module and a power system execution module. Based on current working condition identification classification and demand working condition prediction in a future time domain, equivalent factors are updated from historical and future dimensions, optimal control sequence distribution of the hybrid power system power is obtained by using an F-AECMS algorithm based on the instantaneous local optimization advantage of a Pontryagin minimum principle, and the optimal control sequence distribution of the hybrid power system power is obtained. Energy management of the fuel cell automobile is achieved, and the optimality and working condition adaptability of an energy management strategy are effectively improved.
本发明涉及一种面向工况需求的燃料电池汽车能量管理策略优化方法,所述方法包括:等效因子迭代更新模块、当前时刻工况识别模块模块、未来时域内工况需求预测模块、动力系统执行模块。本发明基于当前工况识别分类和未来时域内需求工况预测,从历史和未来两个维度对等效因子进行更新,基于庞特里亚金极小值原理的瞬时局部寻优优势,利用F‑AECMS算法获取混合动力系统功率的最优控制序列分配,实现燃料电池汽车能量管理,有效提高能量管理策略的最优性和工况适应性。
Fuel cell vehicle energy management strategy optimization method oriented to working condition requirements
一种面向工况需求的燃料电池汽车能量管理策略优化方法
2025-05-02
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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