机译:电动汽车应用双时标卡尔曼滤波的锂离子电池组在线SOC估计
National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800 Caoan Road, Shanghai 201804, China School of Automotive Studies, Tongji University, No. 4800 Caoan Road, Shanghai 201804, China;
National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800 Caoan Road, Shanghai 201804, China School of Automotive Studies, Tongji University, No. 4800 Caoan Road, Shanghai 201804, China;
National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800 Caoan Road, Shanghai 201804, China School of Automotive Studies, Tongji University, No. 4800 Caoan Road, Shanghai 201804, China;
National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800 Caoan Road, Shanghai 201804, China School of Automotive Studies, Tongji University, No. 4800 Caoan Road, Shanghai 201804, China;
National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800 Caoan Road, Shanghai 201804, China School of Automotive Studies, Tongji University, No. 4800 Caoan Road, Shanghai 201804, China;
state of charge; dual time-scale kalman filtering; online estimation; lithium-ion battery cell; equivalent circuit model;
机译:使用扩展卡尔曼滤波器的锂离子NMC电池在线SOC估计的改进OCV模型
机译:使用扩展卡尔曼滤波器的锂离子NMC电池在线SOC估计的改进OCV模型
机译:基于降阶扩展卡尔曼滤波的锂离子电池SOC估计方法
机译:带有新SOC-OCV概念的自适应卡尔曼滤波器的HEV锂离子电池组状态和参数估计
机译:交互式多模型卡尔曼滤波器的锂离子电池电芯寿命估算的改进方法
机译:不同工作条件下电池的行为数据和电池组SOC估算
机译:利用扩展卡尔曼滤波器改进了用于在线sOC估计的锂离子NmC电池的OCV模型