4.8 Article

New method for acquisition of impedance spectra from charge/discharge curves of lithium-ion batteries

Journal

JOURNAL OF POWER SOURCES
Volume 535, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jpowsour.2022.231483

Keywords

Lithium-ion battery; Electrochemical impedance spectroscopy; Equivalent circuit model; Distribution of relaxation timescales

Funding

  1. National Natural Science Foundation of China [61901224, 61701148]
  2. Zhejiang Provincial Natural Science Foundation of China [LZ20F010002.D: \MYFILES\ELSEVIER\POWER\00231483\S-CEQC\gs2]

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A new analytical method is proposed to acquire the electrochemical impedance spectra of lithium-ion batteries (LIBs) from charge/discharge curves. The method allows for fast examination in manufacturing factories and provides internal temperature monitoring and online states estimation in the battery management system (BMS). The results obtained from this method agree well with the conventional electrochemical impedance spectroscopy (EIS) method, indicating its accuracy and reliability.
A new analytical method is proposed to acquire the electrochemical impedance spectra of lithium-ion batteries (LIBs) from charge/discharge curves. From the voltage response to the current step during a charging or discharging process, the three elements are firstly calculated to construct the equivalent circuit model (ECM), i.e. the stray inductance, the Ohmic resistance and the distribution of relaxation timescales (DRT) spectrum of the LIB. Then the constructed ECM is utilized to analyze the impedance spectrum. Though the experimental setup is simple, it is observed that the impedance spectra of the LIB determined by the proposed method agree well with that measured using the conventional electrochemical impedance spectroscopy (EIS) method. Besides, the proposed method has the capability to obtain the Ohmic resistance and charge transfer resistance of LIBs in as short time as 0.05s, which makes the fast examination in the manufacturing factories, the internal temperature monitoring and online states estimation in the battery management system (BMS) possible.

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