Energy Storage Battery State Estimation Based on Model Parameter Identification

被引：0

作者：

YAN Gangui ^{[1
]}

LI Hongbo ^{[1
]}

DUAN Shuangming ^{[1
]}

CAI Changxing ^{[1
]}

LIU Ying ^{[1
]}

LI Junhui ^{[1
]}

XIA Bo ^{[1
]}

机构：

[1] Northeast Electric Power University

来源：

中国电机工程学报 | 2020年 / 24期

关键词：

D O I：

暂无

中图分类号：

TM912 [蓄电池];

学科分类号：

0808 ;

摘要：

The performance decay of energy storage battery and the dependence of its operating path determine that its external characteristic parameters are time-varying and non-linear.The uncertainty of the degree of battery parameter degradation increases the parameter identification error,resulting in a decrease in the adaptability of battery state identification during the full life cycle.The thesis takes lead-carbon battery as the research object,analyzes the formation mechanism of lead-carbon battery storage power-terminal voltage,based on the analysis of a large number of battery charge and discharge test data,digs out the lead-carbon battery working voltage and battery available power that can reflect the battery performance aging characteristics connection relation.

引用

页码：8251 / 8251

页数：1