The invention provides a state energy spatialization-based self-adaptive equivalent factor torque distribution control method. The method comprises the following steps of: determining reference consumed average energy in a driving process of a hybrid electric vehicle; constructing a correction function, and correcting the reference consumption average energy based on the correction function; constructing an equivalent factor correction model based on state energy spatialization; based on the equivalent factor correction model and a Q learning algorithm, determining an optimal torque distribution diagram of an engine and a motor of the hybrid electric vehicle; online working condition data of the hybrid electric vehicle are collected, wherein the online working condition data comprise the average vehicle speed V, the battery charge state SOC and the required power Preq; based on the torque distribution diagrams of the engine and the motor of the hybrid electric vehicle and the online working condition data, torque sequences of the engine and the motor of the hybrid electric vehicle are determined; according to the method, the optimal torque distribution strategy of the hybrid electric vehicle can be determined, and the optimal fuel economy of the whole vehicle is realized on the premise of realizing global balance of battery energy.
本发明提供的一种基于状态能量空间化的自适应等效因子的转矩分配控制方法,包括:确定混合动力汽车驱动过程中参考消耗平均能量;构建修正函数,并基于修正函数对参考消耗平均能量进行修正;构建基于状态能量空间化的等效因子修正模型;基于等效因子修正模型和Q学习算法,确定出混合动力汽车的发动机和电动机的最优转矩分配图;采集混合动力汽车的在线工况数据,在线工况数据包括平均车速V、电池荷电状态SOC和需求功率Preq;并基于混合动力汽车的发动机和电动机的转矩分配图和在线工况数据确定混合动力汽车的发动机和电动机的转矩序列;能够确定出混合动力汽车的转矩最优分配策略,在实现电池能量全局平衡的前提下,实现整车燃油经济性最佳。
Adaptive equivalent factor torque distribution control method based on state energy spatialization
基于状态能量空间化的自适应等效因子的转矩分配控制方法
2022-04-29
Patent
Elektronische Ressource
Chinesisch
State energy spatialization-based self-adaptive equivalent factor torque distribution control method
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