SOH estimation for lithium-ion batteries: A Cointegration and Error Correction Approach

被引：0
|
作者：
Chen Kunlong [1 ]
Hang Jiuchun [1 ]
Zheng Fangdan [1 ]
Sun Bingxiang [1 ]
Zhang Yanru [1 ]
机构：
[1] Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr, Beijing 100044, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM) | 2016年
关键词：
HEALTH ESTIMATION; STATE; MODEL;
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：
In this paper, the degradation of battery SOH is modeled using error correction approach. The duration of charging in constant current mode and constant voltage mode along with the impedance are used to account for the observed degradation trend by proving that there exists a cointegration relationship, which can ensure a stable long-run equilibrium relationship between them, and then use this relationship to prediction the future SOH. The experiment approves that the error correction model has better performance compared to traditional autoregressive integrated moving average model.
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页数：6
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