Research

A Fast Impedance Measurement Method for Lithium-ion Battery Using Power Spectrum Property

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Abstract

Electrochemical Impedance Spectroscopy (EIS) can provide fruitful information for Lithium-ion (Li-ion) battery modelling and diagnosis, yet EIS measurement is time-consuming with low-frequency signal injection. By stacking a group of broadband signals, Pseudo Random Sequence (PRS) makes it possible to obtain the battery EIS in a few seconds at the expense of measurement accuracy and Signal-to-Noise Ratio (SNR). Thus, this paper focuses on developing a highly effective signal processing procedure to extract useful information from the PRS for accurate EIS measurement. To enhance the ability of the data cleaning procedure, a three-dimensional cloud is firstly reconstructed for each impedance by integrating its Power Spectrum (PS). The impedance with lower PS can be easily removed through a statistical based multiple selection mechanism, which enables the extraction of the EIS without altering the original measurement. Experimental results on a 3000mAh Li-ion battery prove the effectiveness of the proposed method.

Electrochemical Impedance Spectroscopy Lithium-ion Battery Power Spectrum Pseudo Random Sequence Statistical Selection Lithium-ion battery Pseudo random sequence Battery charge measurement Frequency measurement Statistical selection Lithium-ion batteries Temperature measurement Impedance measurement Impedance Informatics Electrochemical impedance spectroscopy Power spectrum