State of health estimation of lithium-ion batteries based on the constant voltage charging curve

被引:132
|
作者
Wang, Zengkai [1 ]
Zeng, Shengkui [1 ,2 ]
Guo, Jianbin [1 ,2 ]
Qin, Taichun [1 ]
机构
[1] Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China
[2] Sci & Technol Reliabil & Environm Engn Lab, Beijing 100191, Peoples R China
关键词
Lithium-ion battery; State of health; Constant voltage charging; Equivalent circuit model; PARTICLE SWARM OPTIMIZATION; USEFUL LIFE PREDICTION; CAPACITY ESTIMATION; CYCLE LIFE; MODEL; DEGRADATION; PERFORMANCE; EXTRACTION; PARAMETERS; REGRESSION;
D O I
10.1016/j.energy.2018.11.008
中图分类号
O414.1 [热力学];
学科分类号
摘要
State of health estimation is critical for ensuring the safety and dependability of lithium-ion batteries. In practical usage, batteries are seldom completely discharged. With a constant current-constant voltage charging mode, the incomplete discharging process influences the initial charging voltage and the charging time of the subsequent constant current charging, greatly hindering the applications of many traditional health indicators that require a full cycling process. However, the charging data of the constant voltage charging is fully reserved, and is not affected by the previous incomplete discharging process. Furthermore, the charging current curve during the constant voltage profile is discovered to relate with the battery state of health in this study. Therefore, a new health indicator is extracted only from the monitoring parameters of the constant voltage profile for state of health estimation. The battery aging phenomena during the constant voltage profile are firstly characterized by the equivalent circuit model, and a new indicator is then constructed. A framework for the online extraction of this indicator of is proposed. Additionally, the correlation analysis and performance assessment prove the adaptability and effectiveness of the proposed method for estimating state of health of lithium-ion batteries. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:661 / 669
页数:9
相关论文
共 50 条
  • [41] A charging-feature-based estimation model for state of health of lithium-ion batteries
    Cai, Li
    Lin, Jingdong
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [42] A remaining capacity estimation approach of lithium-ion batteries based on partial charging curve and health feature fusion
    Fan, Lingfeng
    Wang, Ping
    Cheng, Ze
    JOURNAL OF ENERGY STORAGE, 2021, 43
  • [43] Multistep Fast Charging-Based State of Health Estimation of Lithium-Ion Batteries
    Zhang, Dayu
    Wang, Zhenpo
    Liu, Peng
    Wang, Qiushi
    She, Chengqi
    Bauer, Pavol
    Qin, Zian
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03): : 4640 - 4652
  • [44] State of health estimation of lithium-ion batteries based on a novel indirect health indicator
    Lin, Da
    Zhang, Xuesong
    Wang, Lulu
    Zhao, Bo
    ENERGY REPORTS, 2022, 8 : 606 - 613
  • [45] A capacity model based on charging process for state of health estimation of lithium ion batteries
    Li, Xue
    Jiang, Jiuchun
    Wang, Le Yi
    Chen, Dafen
    Zhang, Yanru
    Zhang, Caiping
    APPLIED ENERGY, 2016, 177 : 537 - 543
  • [46] State of Health Estimation Based on OS-ELM for Lithium-ion Batteries
    Zhu, Yiduo
    Yan, Fuwu
    Kang, Jianqiang
    Du, Changqing
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2017, 12 (07): : 6895 - 6907
  • [47] Lightweight state-of-health estimation of lithium-ion batteries based on statistical feature optimization
    Dai, Houde
    Wang, Jiaxin
    Huang, Yiyang
    Lai, Yuan
    Zhu, Liqi
    RENEWABLE ENERGY, 2024, 222
  • [48] Capacity estimation of lithium-ion batteries based on optimized charging voltage section and virtual sample generation
    Tian, Yong
    Dong, Qianyuan
    Tian, Jindong
    Li, Xiaoyu
    Li, Guang
    Mehran, Kamyar
    APPLIED ENERGY, 2023, 332
  • [49] Review on degradation mechanism and health state estimation methods of lithium-ion batteries
    Liu, Yongtao
    Liu, Chuanpan
    Liu, Yongjie
    Sun, Feiran
    Qiao, Jie
    Xu, Ting
    JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2023, 10 (04) : 578 - 610
  • [50] Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles
    Meng, Jinhao
    Cai, Lei
    Stroe, Daniel-Ioan
    Luo, Guangzhao
    Sui, Xin
    Teodorescu, Remus
    ENERGY, 2019, 185 : 1054 - 1062