The invention relates to the technical field of new energy hybrid electric vehicle energy management taking hydrogen energy as main energy, in particular to an FCHEV vehicle energy management method based on self-adaptive vehicle-following control, which comprises the following steps of: constructing a vehicle-following model and a vehicle-following controller model of a variable time interval strategy and a system model of hydrogen fuel hybrid electric vehicle energy management; a method based on fuzzy logic control is designed to optimize parameters of a variable-time-interval vehicle-following controller, a hybrid electric vehicle energy management system model is established, factors such as variable-time-interval vehicle-following scenes, change of required power, lithium batteries and super-capacitor SOC are considered, energy management is conducted on the hydrogen fuel cell hybrid electric vehicle, and the energy management efficiency of the hydrogen fuel cell hybrid electric vehicle is improved. The variable-time-interval vehicle following control and deep reinforcement learning are combined and applied to the hybrid electric vehicle energy management method, the comprehensive energy consumption of the hybrid electric vehicle in a vehicle following scene is lower, and after a variable-time-interval vehicle following strategy and a vehicle following controller are designed, self-adaptive vehicle following control is achieved.
本发明涉及以氢能源为主能源的新能源混合动力汽车能量管理技术领域,具体涉及一种基于自适应跟车控制的FCHEV汽车能量管理方法,通过构建可变时距策略的跟车模型和跟车控制器模型以及氢燃料混合动力汽车能量管理的系统模型,设计一种基于模糊逻辑控制的方法优化可变时距跟车控制器的参数,建立的混合动力汽车能量管理系统模型,考虑可变时距跟车场景、需求功率的变化、锂电池和超级电容SOC等因素,对氢燃料电池混合动力汽车进行能量管理,将可变时距跟车控制与深度强化学习相结合应用到混合动力汽车能量管理方法中,在跟车场景下混合动力汽车的综合能耗更低,在设计可变时距跟车策略和跟车控制器后,实现了自适应跟车控制。
FCHEV automobile energy management method based on self-adaptive automobile following control
一种基于自适应跟车控制的FCHEV汽车能量管理方法
2023-11-07
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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