An analytical model for the CC-CV charge of Li-ion batteries with application to degradation analysis

被引:35
作者
Liu, Hainin [1 ,2 ]
Naqvi, Ijaz Haider [3 ]
Li, Fajia [1 ]
Liu, Chengliang [4 ]
Shafiei, Neda [2 ]
Li, Yulong [2 ,5 ]
Pecht, Michael [2 ]
机构
[1] Jinan Univ, Sch Mech Engn, Jinan 250022, Peoples R China
[2] Univ Maryland, Ctr Adv Life Cycle Engn CALCE, College Pk, MD 20742 USA
[3] Lahore Univ Management Sci LUMS, Dept Elect Engn, Lahore 54792, Pakistan
[4] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
[5] Nanchang Univ, Mech & Elect Engn Sch, Key Lab Robot & Welding Automat Jiangxi Prov, Nanchang 330031, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Lithium-ion battery; State of health; Constant current charge time; Constant voltage charge time; CYCLE LIFE; CAPACITY ESTIMATION; HEALTH ESTIMATION; HIGH-POWER; STATE; SAFETY; FADE;
D O I
10.1016/j.est.2020.101342
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
While the constant current charge time (CCCT) and constant voltage charge time (CVCT) are increasingly used for the state of health (SOH) estimation of Li-ion batteries, their correlations with battery degradation are not investigated comprehensively. This paper develops an analytical model to quantify the chargeable capacity of a Li-ion battery under a CC-CV profile, in which CCCT and CVCT are identified as two uncoupled parameters. The model is verified using a battery dataset of cycling tests subjected to 19 different test conditions with different discharge currents, ambient temperatures, and rest times. The behaviors of CCCT and CVCT during battery degradation are studied in terms of chargeable capacity fade. A new health indicator, the CV-CC time ratio, is developed for degradation analysis. Two partial CC-CV cases are also considered in the studies: in one case, the partial CC-CV charge starts after different discharged depths, and in the other case, different fast charging policies are executed before the partial CC-CV charge.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Performance degradation and failure characterization of Li-ion batteries in hearing aids: Insights from field data
    Asikainen, Markus
    Li, Feng
    Gupta, Kapil Kumar
    Yadav, Abhijeet
    Ambat, Rajan
    JOURNAL OF POWER SOURCES, 2025, 641
  • [32] Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer
    Rahman, Ashikur
    Lin, Xianke
    Wang, Chongming
    ENERGIES, 2022, 15 (15)
  • [33] Capacity-Fading Behavior Analysis for Early Detection of Unhealthy Li-Ion Batteries
    Lee, Changyong
    Jo, Sugyeong
    Kwon, Daeil
    Pecht, Michael G.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (03) : 2659 - 2666
  • [34] Efficient Global Sensitivity Analysis of 3D Multiphysics Model for Li-Ion Batteries
    Lin, Nan
    Xie, Xiangzhong
    Schenkendorf, Rene
    Krewer, Ulrike
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2018, 165 (07) : A1169 - A1183
  • [35] State-of-Charge Estimation for Li-Ion Batteries: A More Accurate Hybrid Approach
    Misyris, George S.
    Doukas, Dimitrios I.
    Papadopoulos, Theofilos A.
    Labridis, Dimitris P.
    Agelidis, Vassilios G.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (01) : 109 - 119
  • [36] A procedure for evaluating the SOH of Li-ion batteries from data during the constant voltage charge phase and the use of an ECM with internal resistance
    Rodriguez-Cea, Angel Ivan
    Morinigo-Sotelo, Daniel
    V. Tinaut, Francisco
    JOURNAL OF ENERGY STORAGE, 2025, 108
  • [37] Operando detection of Li plating during fast charging of Li-ion batteries using incremental capacity analysis
    Chen, Yuxin
    Torres-Castro, Loraine
    Chen, Kuan-Hung
    Penley, Daniel
    Lamb, Joshua
    Karulkar, Mohan
    Dasgupta, Neil P.
    JOURNAL OF POWER SOURCES, 2022, 539
  • [38] Mechanically induced thermal runaway severity analysis for Li-ion batteries
    Lin, L. S.
    Li, J. L.
    Fishman, I. M.
    Torres-Castro, L.
    Preger, Y.
    De Angelis, V.
    Lamb, J.
    Zhu, X. Q.
    Allu, S.
    Wang, H.
    JOURNAL OF ENERGY STORAGE, 2023, 61
  • [39] An Accurate Piecewise Aging Model for Li-ion Batteries in Hybrid Renewable Energy System Applications
    Eltamaly, Ali M.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2024, 49 (05) : 6551 - 6575
  • [40] Accelerated aging protocols design for Li-ion batteries based on equivalence of the degradation mechanisms
    Ren, Xinqi
    Sun, Tao
    Mao, Shuoyuan
    Zheng, Yuejiu
    Han, Xuebing
    Ouyang, Minggao
    JOURNAL OF ENERGY STORAGE, 2024, 99