Identification of retired power lithium-ion batteries of chemical systems by electrochemical impedance spectroscopy

doi:10.19799/j.cnki.2095-4239.2022.0486

Abstract

Abstract:

The economic efficiency of power batteries can be enhanced by the cascade utilization of retired lithium-ion batteries. However, the confusion of batteries' identification information, the difference in charge state, and the overlap of working voltage make it extremely difficult and unreliable to distinguish LiFePO₄ and Ni-Co-Mn oxide-based power batteries by judging only the open-circuit voltage. Therefore, electrochemical impedance spectroscopy (EIS) was employed as a rapid and nondestructive method to identify the power lithium-ion batteries of chemical systems by establishing the dependences among the capacity, interfacial capacitances, reaction resistances, Warburg impedances, and liquid resistance and then investigating the influence of capacity on the real and imaginary parts of electrochemical impedance based on the equivalent circuit of power lithium-ion batteries. The investigation showed that the ratio of the real part to the imaginary part was independent of the capacity. Consequently, the intrinsic feature only involving EIS frequency could be used to quickly identify the power lithium-ion batteries of different chemical systems, avoiding the poor efficiency of charge and discharge routes. Further, the effectiveness of the EIS method was rudimentarily verified with pouch LiFePO₄ and Ni-Co-Mn oxide-based batteries. As a result, LiFePO₄-based power batteries with capacities of 10, 12, and 50 Ah showed that the ratio only varied with EIS frequency and considerably contrasted from those of Ni-Co-Mn oxide-based batteries.

Key words: lithium ion power batteries, electrochemical impedance spectroscopy, lithium iron phosphate, lithium nickel cobalt manganese oxide

CLC Number:

TM 911

Fangfang WANG, Xiangming FENG, Guangjin ZHAO, Dawei XIA, Yuxia HU, Weihua CHEN. Identification of retired power lithium-ion batteries of chemical systems by electrochemical impedance spectroscopy[J]. Energy Storage Science and Technology, 2023, 12(2): 609-614.

Figures/Tables 2

References 17

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