Fast electrochemical impedance spectroscopy of lithium-ion batteries based on the large square wave excitation signal

Wang, Lujun; Song, Ziang; Zhu, Liehuang; Jiang, Jiuchun

doi:10.1016/j.isci.2023.106463

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…72 The EIS measurement with multisine voltage signals, using the distribution of the relaxation time model for data analysis, could improve its performance in real-time or automated measurements. 73 In addition, Wang et al 74 proposed a fast EIS measurement method for lithium-ion batteries based on a large square wave excitation signal with the potential benefits for enhancing the efficiency and accuracy of EIS measurements. In the rapid measurement process of EIS, it can not only determine the electrode integrity, but also quantify the analyte under test according to the relationship between concentration and impedance.…”

Section: Fundamentals Of Electrochemical Biosensorsmentioning

confidence: 99%

Electrochemical biosensors: rapid detection methods in wastewater-based epidemiology research

Yuan,

Shu,

et al. 2024

Environ. Sci.: Water Res. Technol.

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Section: Fundamentals Of Electrochemical Biosensorsmentioning

confidence: 99%

Electrochemical biosensors: rapid detection methods in wastewater-based epidemiology research

Yuan,

Shu,

et al. 2024

Environ. Sci.: Water Res. Technol.

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“…[23] A challenge also arises from the absence of historical usage data, requiring additional tests to characterize the LIBs to account for the different degradation pathways that they might have undergone during their first life. [24,25] Recent research has focused on developing rapid and non-destructive evaluation (NDE) techniques for battery state estimation, such as X-ray Computed Tomography (X-ray CT), [26][27][28] Electrochemical Impedance Spectroscopy (EIS) [29][30][31][32] and acoustic methods. [33][34][35] The versatility and relatively low cost of ultrasound equipment compared to other NDE techniques has stimulated research using various acoustic approaches for SOC and SOH estimation purposes.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications

Montoya‐Bedoya,

Garcia‐Tamayo,

Rohrbach

et al. 2024

Batteries & Supercaps

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Diagnosing lithium‐ion battery degradation is a crucial part of managing energy storage systems. Recent research has explored ultrasonic testing for non‐invasive health assessment as an alternative to traditional, time‐consuming, electrical‐only methods. Assessing the state of health is vi‐ tal for determining quality at end of ‘first’ life, with retired batteries at 70−80% health still holding value for second‐ life applications. Over the coming years, tens of GWh of salvaged batteries will hit the market, requiring rapid non‐ invasive methods to classify retired batteries according to their state of health. This study uses a 64−element ultrasonic array to obtain mid‐band quantitative ultrasound spectroscopy parameters—including mid‐band fit, spectral slope, and intercept—from circumferential waves around cylindrical batteries. Thirteen cylindrical cells were used to evaluate the methodology: three pristine and ten retired from the same source. The mid‐band fit showed the ability to track the state of charge and discriminate between the state of health levels in accelerated degradation experiments both with pristine batteries, and also with recovered second‐ life batteries with unknown historical use. Linear‐array ultrasonic transducers, coupled with quantitative spectral parameters, show promise for future non‐destructive battery health screening methods, offering valuable insights for the emerging used battery market.

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“…23 Fitting EIS data to appropriate equivalent circuit models and using the model parameters as input features for SOH prediction has become a common technical approach in battery SOH assessment. 24,25 Based on the analysis presented earlier, this study introduces an innovative method for predicting the SOH of lithium-ion batteries, employing a synergistic approach that integrates a F-ECM with the AutoGluon automated machine learning framework. F-ECM, by incorporating fractional-order elements, demonstrates significant advantages in simulating the dynamic response and aging characteristics of batteries, especially in the variable real-world environments.…”

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confidence: 99%

Uneven Usage Battery State of Health Estimation via Fractional-Order Equivalent Circuit Model and AutoML Fusion

Li,

Zhou,

Guo

et al. 2024

J. Electrochem. Soc.

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To accurately predict the State of Health (SOH) of lithium-ion batteries under the continuously changing charging and discharging conditions in practical applications, this study proposes a hybrid modeling approach that integrates a Fractional Order Equivalent Circuit Model (F-ECM) with the AutoGluon automatic machine learning framework. By leveraging Electrochemical Impedance Spectroscopy (EIS) to capture battery frequency response characteristics, F-ECM accurately fits EIS data to extract detailed internal state parameters. The integration of AutoGluon automates the machine learning process, enhancing the precision of SOH predictions. Through testing and analysis on real battery datasets, this method has demonstrated superior prediction precision and computational efficiency compared to existing mainstream modeling approaches. Specifically, the hybrid method achieved a Root Mean Square Error (RMSE) of 2.12% and a Mean Absolute Error (MAE) of 1.67%. This study presents a highly accurate, interpretable, and adaptable predictive framework for lithium-ion battery health assessment, offering valuable insights for battery health management system development.

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Fast electrochemical impedance spectroscopy of lithium-ion batteries based on the large square wave excitation signal

Cited by 10 publications

References 30 publications

Electrochemical biosensors: rapid detection methods in wastewater-based epidemiology research

Electrochemical biosensors: rapid detection methods in wastewater-based epidemiology research

Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications

Uneven Usage Battery State of Health Estimation via Fractional-Order Equivalent Circuit Model and AutoML Fusion

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