机译:液态金属电池的充电状态和在线模型参数共同估计
Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China;
Liquid metal battery; State of charge; Adapative unscented Kalman filter; Forgetting factor recursive least squares;
机译:充电状态和在线模型参数参数液态金属电池的共同估算
机译:基于新型多时标估算器的钒液流电池在线荷电状态和模型参数共同估算
机译:具有递归限制的锂离子电池的模型参数和充电状态的共用估算限制总方块和Unscented Kalman滤波器
机译:自适应在线电池参数/ SOC /容量共同估计
机译:在线自适应电池参数识别,充电状态(SOC)和健康状态(SOH)协同估计。
机译:使用离子液体稳定长寿命电池的锂金属
机译:使用解耦最小二乘技术在线估计电池等效电路模型参数和充电状态