Battery State-of-Charge Online Estimation Based on H∞ Observer with Current Debasing and Noise Distributions

被引：0
|
作者：
Feng D.-W. [1 ]
Lu C. [1 ]
Chen Y. [2 ,3 ]
Huang D.-G. [1 ]
机构：
[1] School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu
[2] School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu
[3] Institute for Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, Chengdu
来源：
| 1600年 / Univ. of Electronic Science and Technology of China卷 / 46期
关键词：
Battery management system; Current debasing; H[!sub]∞[!/sub] observer; Noise distributions; SoC;
D O I：
10.3969/j.issn.1001-0548.2017.04.012
中图分类号：
学科分类号：
摘要：
In battery management systems, there are always colored noises in the sampled battery current signals and voltage signals, which make it hard to achieve the accurate battery state of charge estimation. Regarding these noises as distributions, an H∞ observer with current debasing for online batter state of charge (SoC) estimation is proposed in this paper. Firstly, the battery stated model with current debasing and noise distribution is built. Secondly, H∞ observer is designed with current debasing. The estimation accuracy, performance, robust to model errors and parameter adaptation of the observer are analyzed by simulation. At last, experiment results demonstrate its effectiveness. © 2017, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
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页码：547 / 553
页数：6
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