lithium compounds; nonlinear dynamical systems; observers; power system state estimation; secondary cells; stability; LiFePOsub4/sub; battery; linear filter; nonlinear dynamical system; online SOC estimation; state of charge estimation; state posterior distribution; system state observer; Batteries; Kalman filters; Mathematical model; Observers; Stability analysis; Uncertainty; Battery model; Evolutionary Fuzzy Systems; Fuzzy Rule-based model; Kalman filtering; Luenberger gain; State of Charge estimation;
机译:基于贝叶斯估计的小样本大小的KPI系统:斜视> C
机译:基于神经网络的鲁棒在线SOC和SOH估算可再生系统中的铅酸蓄电池
机译:可再生系统中的密封铅酸电池的基于神经网络的强大稳健的在线SoC和SOH估计
机译:LI-FEPO
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:不同工作条件下电池的行为数据和电池组SOC估算
机译:使用H