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.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Residual life estimation of lithium-ion batteries based on nonlinear Wiener process with measurement error
    Han, Yangyang
    Ma, Changlin
    Tang, Shengjin
    Wang, Fengfei
    Sun, Xiaoyan
    Si, Xiaosheng
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2023, 237 (01) : 133 - 151
  • [22] A novel integrated SOC-SOH estimation framework for whole-life-cycle lithium-ion batteries
    Huang, Haichi
    Bian, Chong
    Wu, Mengdan
    An, Dong
    Yang, Shunkun
    ENERGY, 2024, 288
  • [23] A new SOH estimation method for Lithium-ion batteries based on model-data-fusion
    Chen, Liping
    Xie, Siqiang
    Lopes, Antonio M.
    Li, Huafeng
    Bao, Xinyuan
    Zhang, Chaolong
    Li, Penghua
    ENERGY, 2024, 286
  • [24] Research on Co-Estimation Algorithm of SOC and SOH for Lithium-Ion Batteries in Electric Vehicles
    Du, Chang-Qing
    Shao, Jian-Bo
    Wu, Dong-Mei
    Ren, Zhong
    Wu, Zhong-Yi
    Ren, Wei-Qun
    ELECTRONICS, 2022, 11 (02)
  • [25] CNN and transfer learning based online SOH estimation for lithium-ion battery
    Li, Yang
    Tao, Jili
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 5489 - 5494
  • [26] State of charge estimation for lithium-ion batteries: An adaptive approach
    Fang, Huazhen
    Wang, Yebin
    Sahinoglu, Zafer
    Wada, Toshihiro
    Hara, Satoshi
    CONTROL ENGINEERING PRACTICE, 2014, 25 : 45 - 54
  • [27] A Fast Capacity Estimation Approach for Retired Lithium-ion Batteries
    Cao, Xuebin
    Zhou, Zhongkai
    Duan, Bin
    Gu, Pingwei
    Shang, Yunlong
    Zhang, Chenghui
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 5836 - 5840
  • [28] An Improved Collaborative Estimation Method for Determining The SOC and SOH of Lithium-Ion Power Batteries for Electric Vehicles
    Liu, Yixin
    Lei, Ao
    Yu, Chunyang
    Huang, Tengfei
    Yu, Yuanbin
    ENERGIES, 2024, 17 (13)
  • [29] Study on Co-Estimation of SoC and SoH for Second-Use Lithium-Ion Power Batteries
    Jiang, Nan
    Pang, Hui
    ELECTRONICS, 2022, 11 (11)
  • [30] A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries
    Wang, Yixiu
    Zhu, Jiangong
    Cao, Liang
    Liu, Jianfeng
    You, Pufan
    Gopaluni, Bhushan
    Cao, Yankai
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2023, 63 (01) : 345 - 357