The invention discloses an electric flywheel hybrid electric vehicle energy management method based on multi-agent deep reinforcement learning, and belongs to the field of new energy commercial vehicle energy management. The invention aims to realize efficient cooperative control among a main driving motor, a control motor and a flywheel by using a multi-agent deep reinforcement learning strategy, reduce the energy consumption of a battery and improve the economical efficiency and the overall performance of a vehicle. The method mainly comprises the following steps: constructing a model of the electric flywheel hybrid electric vehicle; defining six working modes; a multi-agent energy management method is designed, and a state variable, an action variable and a reward function required by a deep reinforcement learning SAC algorithm and a PPO algorithm are set. Under the standard working condition, the multiple agents are trained to obtain the corresponding energy management method, and real-time energy management of the target vehicle is achieved. By applying the multi-agent deep reinforcement learning algorithm to the energy method of the electric flywheel hybrid electric vehicle, the energy consumption of the battery is reduced on the premise of ensuring the performance of the whole vehicle.
本发明公开了一种基于多智能体深度强化学习的电动飞轮混合动力汽车能量管理方法,属于新能源商用车能量管理领域。本发明的目的是使用采用多智能体深度强化学习策略,实现主驱动电机、控制电机与飞轮之间的高效协同控制,降低电池能耗,提升车辆的经济性和整体性能。本发明主要包括:构建电动飞轮混合动力汽车的模型;定义六种工作模式;设计多智能体能量管理方法,并设置深度强化学习SAC算法和PPO算法所需的状态变量、动作变量和奖励函数。在标准工况下,对多智能体进行训练,以获得相应的能量管理方法,实现对目标车辆的实时能量管理。通过将多智能体深度强化学习算法应用于电动飞轮混合动力汽车的能量方法,在保证整车性能的前提下,降低电池能耗。
Electric flywheel hybrid electric vehicle energy management method based on multi-agent deep reinforcement learning
一种基于多智能体深度强化学习的电动飞轮混合动力汽车能量管理方法
2025-03-18
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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