[{"title":"( 13 个子文件 771.32MB ) 电池建模及状态估计学习视频(中)","children":[{"title":"5.4 基于在线参数辨识的估计(讨论2).flv <span style='color:#111;'> 107.00MB </span>","children":null,"spread":false},{"title":"5.2 基于在线参数辨识的估计.flv <span style='color:#111;'> 149.12MB </span>","children":null,"spread":false},{"title":"5.6 小结.flv <span style='color:#111;'> 8.83MB </span>","children":null,"spread":false},{"title":"4.4 卡尔曼滤波算法(2).flv <span style='color:#111;'> 86.49MB </span>","children":null,"spread":false},{"title":"5.3 基于在线参数辨识的估计(讨论1).flv <span style='color:#111;'> 53.86MB </span>","children":null,"spread":false},{"title":"4.1 开路电压法与电流积分法.flv <span style='color:#111;'> 80.21MB </span>","children":null,"spread":false},{"title":"4.3 卡尔曼滤波算法(1).flv <span style='color:#111;'> 41.87MB </span>","children":null,"spread":false},{"title":"4.6 卡尔曼滤波算法(4).flv <span style='color:#111;'> 42.47MB </span>","children":null,"spread":false},{"title":"5.5 基于在线参数辨识的估计(讨论3).flv <span style='color:#111;'> 33.74MB </span>","children":null,"spread":false},{"title":"4.2 卡尔曼滤波算法(0).flv <span style='color:#111;'> 111.63MB </span>","children":null,"spread":false},{"title":"4.7 卡尔曼滤波算法(5).flv <span style='color:#111;'> 32.10MB </span>","children":null,"spread":false},{"title":"4.5 卡尔曼滤波算法(3).flv <span style='color:#111;'> 76.25MB </span>","children":null,"spread":false},{"title":"5.1 经验估计方法.flv <span style='color:#111;'> 85.85MB </span>","children":null,"spread":false}],"spread":true}]