Data for: Enhanced online model identification and state of charge estimation for lithium-ion battery under noise corrupted measurements by bias compensation recursive least squares

This data includes:
1. The battery dynamic stress test (DST) raw data recorded by battery test system (Neware BTS-4008 battery test system);
2. Experiment voltage and current of DST after removing the repetition time points;
3. Offline model identification results of time-varying model based on first-order RC battery model;
4. Simulative battery Vp and current for simulation verification for identification biases under noise corruptions;
5. Simulative battery voltage and current for assessing the co-estimation algorithms under noise corrupted measurements;
6. Experiment battery voltage and current for assessing the co-estimation algorithms under noise corrupted measurements.

本数据集包含以下内容：
1. 由电池测试系统（Neware BTS-4008电池测试系统）记录的电池动态应力测试（DST）原始数据；
2. 去除重复时间点后的实验电压和电流；
3. 基于一阶RC电池模型的时间变模型离线模型识别结果；
4. 用于在噪声干扰下识别偏差的模拟电池Vp和电流验证；
5. 在噪声干扰测量下评估协同估计算法的模拟电池电压和电流；
6. 在噪声干扰测量下评估协同估计算法的实验电池电压和电流。