State-of-Charge Monitoring and Battery Diagnosis of Different Lithium Ion Chemistries Using Impedance Spectroscopy

被引:8
|
作者
Kurzweil, Peter [1 ]
Scheuerpflug, Wolfgang [2 ]
机构
[1] Univ Appl Sci OTH, Electrochem Lab, Kaiser Wilhelm Ring 23, D-90451 Nurnberg, Germany
[2] Diehl Aerosp GmbH, Donaustr 120, D-90451 Nurnberg, Germany
来源
BATTERIES-BASEL | 2021年 / 7卷 / 01期
关键词
battery life testing; capacitance; state-of-charge determination; state-of-health; aging; impedance spectroscopy; pseudocharge; lithium-ion battery; PERFORMANCE; PARAMETERS;
D O I
10.3390/batteries7010017
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
For lithium iron phosphate batteries (LFP) in aerospace applications, impedance spectroscopy is applicable in the flat region of the voltage-charge curve. The frequency-dependent pseudocapacitance at 0.15 Hz is presented as useful state-of-charge (SOC) and state-of-health (SOH) indicator. For the same battery type, the prediction error of pseudocapacitance is better than 1% for a quadratic calibration curve, and less than 36% for a linear model. An approximately linear correlation between pseudocapacitance and Ah battery capacity is observed as long as overcharge and deep discharge are avoided. We verify the impedance method in comparison to the classical constant-current discharge measurements. In the case of five examined lithium-ion chemistries, the linear trend of impedance and SOC is lost if the slope of the discharge voltage curve versus SOC changes. With nickel manganese cobalt (NMC), high impedance modulus correlates with high SOC above 70%.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Using GDAformer and Online Correction
    Chen, Wenhe
    Zhou, Hanting
    Mao, Ting
    Cheng, Longsheng
    Xia, Min
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (11) : 13473 - 13485
  • [22] State-of-Charge Estimation of Lithium-ion Battery Based on a Novel Reduced Order Electrochemical Model
    Yuan Chaochun, b
    Wang Bingjian
    Zhang Houzhong
    Long Chen
    Li Huanhuan
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2018, 13 (01): : 1131 - 1146
  • [23] Monitoring state-of-charge of Ni-MH and Ni-Cd batteries using impedance spectroscopy
    Hammouche, A
    Karden, E
    De Doncker, RW
    JOURNAL OF POWER SOURCES, 2004, 127 (1-2) : 105 - 111
  • [24] An unscented kalman filtering method for estimation of state-of-charge of lithium-ion battery
    Guo, Jishu
    Liu, Shulin
    Zhu, Rui
    FRONTIERS IN ENERGY RESEARCH, 2023, 10
  • [25] Robustness estimation for state-of-charge of a lithium-ion battery based on feature fusion
    Xia, Baozhou
    Ye, Min
    Wang, Qiao
    Lian, Gaoqi
    Li, Yan
    Zhang, Binrui
    Zhang, Yong
    ENERGY REPORTS, 2024, 12 : 4016 - 4025
  • [26] Temperature characterization based state-of-charge estimation for pouch lithium-ion battery
    Li, Xining
    Xiao, Lizhong
    Geng, Guangchao
    Jiang, Quanyuan
    JOURNAL OF POWER SOURCES, 2022, 535
  • [27] Temperature characterization based state-of-charge estimation for pouch lithium-ion battery
    Li, Xining
    Xiao, Lizhong
    Geng, Guangchao
    Jiang, Quanyuan
    JOURNAL OF POWER SOURCES, 2022, 535
  • [28] Temperature dependent state-of-charge estimation of lithium ion battery using dual spherical unscented Kalman filter
    Aung, Htet
    Low, Kay Soon
    IET POWER ELECTRONICS, 2015, 8 (10) : 2026 - 2033
  • [29] A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF
    Cui, Zhenhua
    Kang, Le
    Li, Liwei
    Wang, Licheng
    Wang, Kai
    ENERGY, 2022, 259
  • [30] State-of-Charge Estimation for Lithium-ion Battery using Busse's Adaptive Unscented Kalman Filter
    Yao, Low Wen
    Aziz, J. A.
    Idris, N. R. N.
    2015 IEEE CONFERENCE ON ENERGY CONVERSION (CENCON), 2015, : 227 - 232