An Estimation Strategy of Lithium Battery SOC Based on Gauss-Hermite Filter

被引：0

作者：

Zhou, Jinzhi ^{[1
]}

Jian, Wenyu ^{[1
]}

机构：

[1] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Peoples R China

来源：

POWER AND ENERGY SYSTEMS III | 2014年 / 492卷

关键词：

Battery management system (BMS); State of charge (SOC); Gauss-Hermite quadrature filter (GHQF); Extended Kalman filter (EKF); MANAGEMENT-SYSTEMS; PACKS; QUADRATURE; STATE;

D O I：

10.4028/www.scientific.net/AMM.492.147

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Battery state of charge (SOC) can directly reflect its sustainable power supply capacity and health. It is important basis to formulate balance and energy management strategy for battery management system (BMS). In this paper, a second-order RC battery model with factors affected battery characteristics was established based on the Gauss-Hermite quadrature filter (GHQF) theory. According to Kirchhoff's law a state space model was established and the parameters in the model were identified. The GHQF algorithm and model were verified, and comparison was made to an extended Kalman filter (EKF) algorithm on the Matlab and Simulink simulation platform.

引用

页码：147 / 150

页数：4

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