Sequential Estimation of State of Charge and Equivalent Circuit Parameters for Lithium-Ion Batteries

被引：0

作者：

Wada, Toshihiro ^{[1
]}

Takegami, Tomoki ^{[1
]}

Wang, Yebin ^{[2
]}

机构：

[1] Mitsubishi Electr Corp, Adv Technol R&D Ctr, 8-1-1 Tsukaguchi Honmachi, Amagasaki, Hyogo 811, Japan

[2] Mitsubishi Elect Res Labs, Cambridge, MA 02139 USA

来源：

2015 AMERICAN CONTROL CONFERENCE (ACC) | 2015年

关键词：

RECURSIVE LEAST-SQUARES;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a method to estimate the state of charge (SoC) and the equivalent circuit parameters for lithium-ion batteries. Model-based approaches for SoC estimation, such as Kalman filter, achieve better accuracy than Coulomb counting or open circuit voltage method, albeit requiring accurate model parameters of the battery. We analyze bias errors in the Kalman filter-based SoC estimation induced by errors of the battery model parameters, and develop a simultaneous recursive least squares filter to produce unbiased estimation of the battery parameters.

引用

页码：2494 / 2498

页数：5