A Two-Stage Optimization Framework for Fast Lithium-Ion Battery Impedance Measurement

Du, Xinghao; Meng, Jinhao; Peng, Jichang; Peng, Qiao; Wu, J.; Lin, Mingqiang

doi:10.1109/tpel.2023.3241072

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…Yang [18] proposed further improvement to the previous method by iteratively changing the value of 𝑎 in (10) over the number of iterations. The best results have been found with a limit changing in a logarithmic manner as…”

Section: Time-frequency-domain Swapping Methodsmentioning

confidence: 99%

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Optimization of the Crest Factor for Complex-Valued Multisine Signals

Cseppentő¹,

Retzler²,

Kollár³

2023

RADIOENGINEERING

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Multisine signals are commonly used in the measurement of dynamic systems and wireless channels. For optimal measurements with a high dynamic range, a low Crest Factor (CF) excitation signal is required. In this paper, a modified approach to optimize the crest factor for complex-valued multisine signals is presented. The approach uses a nonlinear optimization method where the real and imaginary parts can also be optimized for low CF. Furthermore, extensions of the real-valued multisine CF optimization methods are presented for complex-valued cases. The proposed methods are validated and compared using simulations. Based on the results it is shown that the novel approach can lead to more optimal signal design and lower CF compared to other techniques for complex-valued multisine signals.

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Section: Time-frequency-domain Swapping Methodsmentioning

confidence: 99%

“…Multisine test signals are used in various applications, such as testing of analog integrated circuits [6], electric drivetrains [7], impedance spectroscopy [8], [9], battery diagnosis [10], vibration analysis of bridges [11], or even wireless channel estimation [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Crest Factor for Complex-Valued Multisine Signals

Cseppentő¹,

Retzler²,

Kollár³

2023

RADIOENGINEERING

View full text Add to dashboard Cite

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“…The constant phase element (CPE) is used in parallel with the transfer resistor representing charge diffusion to describe the diffusion effect of charges [21]. In the low-frequency portion, the Nyquist curve approximately forms a 45 • straight line, indicative of the concentration polarization impedance [22]. The impedance spectrum of the battery electrochemical system at low frequencies can be used to reflect the diffusion dynamic characteristics inside spherical particles described by Fick's second law [23].…”

Section: Battery Modelingmentioning

confidence: 99%

Classification of Lithium-Ion Batteries Based on Impedance Spectrum Features and an Improved K-Means Algorithm

Zhang,

Tian,

Yan

et al. 2023

Batteries

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This article presents a classification method that utilizes impedance spectrum features and an enhanced K-means algorithm for Lithium-ion batteries. Additionally, a parameter identification method for the fractional order model is proposed, which is based on the flow direction algorithm (FDA). In order to reduce the dimensionality of battery features, the Pearson correlation coefficient is employed to analyze the correlation between impedance spectrum features. The battery classification is carried out using the improved K-means algorithm, which incorporates the optimization of the initial clustering center using the grey wolf optimization (GWO) algorithm. The experimental results demonstrate the effectiveness of this method in accurately classifying batteries and its high level of accuracy and robustness. Consequently, this method can be relied upon to provide robust support for battery performance evaluation and fault diagnosis.

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