机译:基于加固学习的电力分配插入式混合动力电动汽车能源管理随机模型预测控制
Faculty of Transportation Engineering Kunming University of Science and Technology Kunming 650500 China School of Engineering and Materials Science Queen Mary University of London London E1 4NS United Kingdom;
Faculty of Transportation Engineering Kunming University of Science and Technology Kunming 650500 China;
Faculty of Transportation Engineering Kunming University of Science and Technology Kunming 650500 China;
Sir William Wright Technology Center Queen's University Belfast Belfast BT9 5BS United Kingdom;
School of Engineering and Materials Science Queen Mary University of London London E1 4NS United Kingdom;
State Key Laboratory of Mechanical Transmissions & School of Automotive Engineering Chongqing University Chongqing 400044 China;
Energy management strategy; Reinforcement learning; Markov chain; Velocity prediction; Stochastic model prediction control;
机译:基于启发式规划强化学习的电力分配插入式混合动力电动汽车能源管理
机译:考虑车辆随机性的终端SOC约束预测模型,基于后视控制的插电式混合动力公交车能源管理
机译:考虑到随机车辆质量,使用终端SOC限制的预测模型取出基于地平线控制的能量管理。
机译:基于加固学习的采用混合能储能系统的混合动力电动车的实时能源管理
机译:将驾驶员的行为纳入动力分割混合动力电动汽车的预测动力总成能量管理中。
机译:基于强化学习的混合动力电动汽车实时能源管理策略的实现与仿真验证
机译:插电式混合动力汽车能源管理的模型预测迭代学习控制