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

Published: 13-03-2020| Version 1 | DOI: 10.17632/v36y3kd8zg.1
Contributors:
Fengchong Lan,
Yigang Li

Description

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.

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