Aging Monitoring Method for Lithium-Ion Batteries Using Harmonic Analysis

Seon Hyeog Kim; Hyeong Min Lee; Yong June Shin

doi:10.1109/TIM.2020.3043097

Aging Monitoring Method for Lithium-Ion Batteries Using Harmonic Analysis

Seon Hyeog Kim, Hyeong Min Lee, Yong June Shin

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Monitoring the aging battery cells is important to maintain battery performance. Capacity is a key indicator of battery aging diagnosis, but capacity can be estimated differently depending on the C-rate. Battery impedance monitoring using electrochemical impedance spectroscopy (EIS) is also recognized as a battery diagnostic method. However, EIS is inefficient when diagnosing a large number of individual battery cells due to complex computation and measurement time. In this article, a harmonic analysis method for monitoring aging battery is proposed. The proposed diagnostic technique applies the designed 1-kHz sinusoidal signal, comprising a sinusoidal current component and a direct current component, to the battery. Harmonics are generated when signals passing through nonlinear systems are distorted. A battery is an asymmetric nonlinear system with different bidirectionality. Comparing the simulation and experimental results, we confirmed that the harmonic signatures are the indicators that distinguish between a normal and an aging battery. Moreover, the proposed in situ technique can be applied during charge/discharge cycles, even in the case of an apparent reduction of even harmonics.

Original language	English
Article number	9285314
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	70
DOIs	https://doi.org/10.1109/TIM.2020.3043097
Publication status	Published - 2021

Bibliographical note

Funding Information:
Manuscript received November 15, 2020; accepted November 22, 2020. Date of publication December 7, 2020; date of current version December 30, 2020. This work was supported in part by the framework of the international cooperation program managed by the National Research Foundation of Korea (NRF) under Grant 2017K1A4A3013579 and in part by the NRF Grant funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2020R1A2B5B03001692. The Associate Editor coordinating the review process was Dr. Hongrui Wang. (Corresponding author: Yong-June Shin.) The authors are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: yongjune@yonsei.ac.kr). Digital Object Identifier 10.1109/TIM.2020.3043097

Publisher Copyright:
© 1963-2012 IEEE.

All Science Journal Classification (ASJC) codes

Instrumentation
Electrical and Electronic Engineering

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TIM.2020.3043097

Cite this

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title = "Aging Monitoring Method for Lithium-Ion Batteries Using Harmonic Analysis",

abstract = "Monitoring the aging battery cells is important to maintain battery performance. Capacity is a key indicator of battery aging diagnosis, but capacity can be estimated differently depending on the C-rate. Battery impedance monitoring using electrochemical impedance spectroscopy (EIS) is also recognized as a battery diagnostic method. However, EIS is inefficient when diagnosing a large number of individual battery cells due to complex computation and measurement time. In this article, a harmonic analysis method for monitoring aging battery is proposed. The proposed diagnostic technique applies the designed 1-kHz sinusoidal signal, comprising a sinusoidal current component and a direct current component, to the battery. Harmonics are generated when signals passing through nonlinear systems are distorted. A battery is an asymmetric nonlinear system with different bidirectionality. Comparing the simulation and experimental results, we confirmed that the harmonic signatures are the indicators that distinguish between a normal and an aging battery. Moreover, the proposed in situ technique can be applied during charge/discharge cycles, even in the case of an apparent reduction of even harmonics.",

author = "Kim, {Seon Hyeog} and Lee, {Hyeong Min} and Shin, {Yong June}",

note = "Funding Information: Manuscript received November 15, 2020; accepted November 22, 2020. Date of publication December 7, 2020; date of current version December 30, 2020. This work was supported in part by the framework of the international cooperation program managed by the National Research Foundation of Korea (NRF) under Grant 2017K1A4A3013579 and in part by the NRF Grant funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2020R1A2B5B03001692. The Associate Editor coordinating the review process was Dr. Hongrui Wang. (Corresponding author: Yong-June Shin.) The authors are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: yongjune@yonsei.ac.kr). Digital Object Identifier 10.1109/TIM.2020.3043097 Publisher Copyright: {\textcopyright} 1963-2012 IEEE.",

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PY - 2021

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N2 - Monitoring the aging battery cells is important to maintain battery performance. Capacity is a key indicator of battery aging diagnosis, but capacity can be estimated differently depending on the C-rate. Battery impedance monitoring using electrochemical impedance spectroscopy (EIS) is also recognized as a battery diagnostic method. However, EIS is inefficient when diagnosing a large number of individual battery cells due to complex computation and measurement time. In this article, a harmonic analysis method for monitoring aging battery is proposed. The proposed diagnostic technique applies the designed 1-kHz sinusoidal signal, comprising a sinusoidal current component and a direct current component, to the battery. Harmonics are generated when signals passing through nonlinear systems are distorted. A battery is an asymmetric nonlinear system with different bidirectionality. Comparing the simulation and experimental results, we confirmed that the harmonic signatures are the indicators that distinguish between a normal and an aging battery. Moreover, the proposed in situ technique can be applied during charge/discharge cycles, even in the case of an apparent reduction of even harmonics.

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Aging Monitoring Method for Lithium-Ion Batteries Using Harmonic Analysis

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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