Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences;
Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong;
Shenzhen Key Laboratory of Electric Vehicle Powertrain Platform and Safety Technology;
Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences;
Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong;
Shenzhen Key Laboratory of Electric Vehicle Powertrain Platform and Safety Technology;
Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences;
Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong;
Department of Electrical Engineering,Tongji University;
Shenzhen Key Laboratory of Electric Vehicle Powertrain Platform and Safety Technology;
Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences;
Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong;
Shenzhen Key Laboratory of Electric Vehicle Powertrain Platform and Safety Technology;
extended kalman filter; thevenin battery model; state of charge(SOC) estimation; lithium-ion battery; electric vehicles;
机译:带有时变参数的混合动力电动汽车锂离子电池系统的荷电状态估计
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:使用极值求取的电动汽车锂离子电池电力预测状态的在线参数识别
机译:电动车辆锂离子电池的新型在线参数识别和电荷估计状态
机译:锂离子电池SOC估计库仑计数方法:电动汽车应用电池管理系统的改进
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:朝着电动车辆应用的更智能电池管理系统:锂离子电池估计状态的关键综述