A new method for lithium-ion battery's SOH estimation and RUL prediction

被引：0
|
作者：
Zhang, Siwen [1 ]
机构：
[1] Shanghai Elect Grp Co Ltd, Cent Acad, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) | 2018年
关键词：
SOH; RUL; Lithium-ion Battery; REMAINING USEFUL LIFE; PARTICLE FILTER;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
State of health (SOH) estimation and remaining useful lifetime (RUL) prediction are important for a battery management system (BMS). This paper presents a new method to estimate SOH by taking local voltage variation and capacity variation in charging or discharging process of the battery as SOH indexes, and realizes RUL prediction based on a particle filter. The effectiveness is validated using a NCM/LTO lithium-ion battery pack.
引用
收藏
页码：2693 / 2697
页数：5
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