Wideband signals effectively shorten the measurement time for acquiring electrochemical impedance spectroscopy (EIS) of lithium-ion batteries (LIBs). However, the measurement accuracy and measurable frequency range are limited due to an insufficient signal-to-noise ratio (SNR). Given this issue, this article proposes a short binary sequence-based fast EIS measurement approach. First, a short inverse repeat binary sequence (SIRBS) is specially designed to enhance the SNR, especially in the low-frequency region. Then, a wideband impedance extraction algorithm based on the Airy wavelet transform is proposed to address the high-frequency measurement distortion and frequency resolution decrease caused by the SIRBS. Finally, the effectiveness of the proposed approach is verified on an EIS measurement system based on a bidirectional buck-boost converter. Under a response voltage amplitude of less than 10 mV, the proposed measurement approach requires only one disturbance period (10 s) to obtain the EIS in the frequency range of 0.1 Hz–2 kHz. The experimental results indicate that under different state-of-charge (SOC), temperatures, and aging states, the maximum normalized root mean square error (RMSE) and the normalized maximum absolute error (NMAE) are mainly maintained below 0.38% and 0.97%, respectively. Moreover, the superiority of the proposed approach is further demonstrated by comparative analyses with existing techniques.


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    Title :

    Short Binary Sequence-Based Fast Electrochemical Impedance Spectroscopy Measurement for Lithium-Ion Batteries


    Contributors:
    Geng, Anqi (author) / Hu, Haitao (author) / Zhao, Zhaoyang (author) / Chen, Junyu (author) / Ge, Yinbo (author) / Wang, Ke (author) / He, Zhengyou (author)


    Publication date :

    2025-02-01


    Size :

    3239254 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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