The Influence of Testing Conditions on State of Health Estimations of Electric Vehicle Lithium-Ion Batteries Using an Incremental Capacity Analysis

被引:1
作者
Gismero, Alejandro [1 ]
Dubarry, Matthieu [2 ]
Guo, Jia [1 ]
Stroe, Daniel-Ioan [1 ]
Schaltz, Erik [1 ]
机构
[1] Aalborg Univ, Dept Energy, Pontoppidanstr 111, DK-9220 Aalborg, Denmark
[2] Univ Hawaii Manoa, Hawaii Nat Energy Inst, 1680 East West Rd POST 109, Honolulu, HI 96822 USA
来源
BATTERIES-BASEL | 2023年 / 9卷 / 12期
关键词
electric vehicle (EV); battery state estimation; incremental capacity analysis (ICA); lithium-ion batteries; state of health (SOH); PATH DEPENDENCE; ONLINE STATE; CELLS; DIAGNOSIS;
D O I
10.3390/batteries9120568
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
The increasing growth of the second-hand electric vehicle market demands reliable methods for evaluating the state of health of deployed electric vehicle batteries. Among these methods, incremental capacity analysis is a commonly used technique for state of health evaluation via the quantification of degradation modes. While the optimal conditions for its application typically involve low currents and a controlled temperature, this cannot be easily applied to deployed batteries. It is therefore essential to understand the impact of varying charging rates and temperatures on the accuracy of the analysis. In this study, the characteristics and behavior of incremental capacity features for seven electric vehicle batteries tested under different calendar aging conditions were investigated. The results show that accurate state of health estimations under different test conditions could be obtained using specific electrochemical features.
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页数:12
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共 30 条
  • [1] [Anonymous], 1996, USABC electric vehicle Battery Test Procedures Manual. Revision 2, DOI DOI 10.2172/214312
  • [2] Mechanistic investigation of silicon-graphite/LiNi0.8Mn0.1Co0.1O2 commercial cells for non-intrusive diagnosis and prognosis
    Ansean, D.
    Baure, G.
    Gonzalez, M.
    Camean, I
    Garcia, A. B.
    Dubarry, M.
    [J]. JOURNAL OF POWER SOURCES, 2020, 459
  • [3] A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells
    Barai, Anup
    Uddin, Kotub
    Dubarry, Matthieu
    Somerville, Limhi
    McGordon, Andrew
    Jennings, Paul
    Bloom, Ira
    [J]. PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2019, 72 : 1 - 31
  • [4] Online state of health estimation on NMC cells based on predictive analytics
    Berecibar, Maitane
    Devriendt, Floris
    Dubarry, Matthieu
    Villarreal, Igor
    Omar, Noshin
    Verbeke, Wouter
    Van Mierlo, Joeri
    [J]. JOURNAL OF POWER SOURCES, 2016, 320 : 239 - 250
  • [5] A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
    Chen, Lin
    Lu, Zhiqiang
    Lin, Weilong
    Li, Junzi
    Pan, Haihong
    [J]. MEASUREMENT, 2018, 116 : 586 - 595
  • [6] 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.
    [J]. JOURNAL OF POWER SOURCES, 2022, 539
  • [7] PHASE-DIAGRAM OF LIXC6
    DAHN, JR
    [J]. PHYSICAL REVIEW B, 1991, 44 (17): : 9170 - 9177
  • [8] Dubarry M., Alawa: A Unique Mechanistic Model for Battery Diagnosis and Prognosis
  • [9] Best practices for incremental capacity analysis
    Dubarry, Matthieu
    Ansean, David
    [J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [10] Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis
    Dubarry, Matthieu
    Beck, David
    [J]. ENERGIES, 2021, 14 (09)