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机译:电动汽车用锂离子聚合物电池的数据驱动自适应充电状态和功率容量联合估计
DOE GATE Center for Electric Drive Transportation, Department of Electrical and Computer Engineering, University of Michigan, Dearborn, Ml 48128, USA,National Engineering Laboratory tor Electric Vehicles,School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China;
National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;
National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;
DOE GATE Center for Electric Drive Transportation, Department of Electrical and Computer Engineering, University of Michigan, Dearborn, Ml 48128, USA;
Electric vehicles; Lithium-ion polymer battery; Data-driven; Adaptive extended Kalman filter; State of charge (SoC); State of power capability (SoP);
机译:基于数据驱动的电动汽车锂离子聚合物电池自适应充电状态估计器
机译:插电式混合动力汽车中基于模型的锂离子电池充电状态和峰值功率容量联合估计
机译:电动汽车中锂离子电池模型参数和充电状态的实时联合估计器
机译:考虑到电动车辆充电系统中锂离子聚合物电池内部阻抗变化的自适应损失减少计费策略
机译:关于电池电动汽车动力系的设计与评估,关于性能,能耗和电动机热力
机译:插电式混合动力汽车的牵引锂离子电池组的能源和环境评估
机译:电动汽车用锂离子电池模型参数和充电状态的实时联合估计
机译:无人机用锂离子凝胶聚合物电池供电系统的性能表征