TY - JOUR
T1 - Technology of electrochemical impedance spectroscopy for an energy-sustainable society
AU - Nara, Hiroki
AU - Yokoshima, Tokihiko
AU - Osaka, Tetsuya
N1 - Funding Information:
The results introduced in this review were partly supported by the ‘Development of Safety and Cost Competitive Energy Storage System for Renewable Energy’ (Grant ID: P06004) and ‘Research & Development Initiative for Scientific Innovation of New Generation Batteries (RISING) (Grant ID: P09012)’, and ‘Research & Development Initiative for Scientific Innovation of New Generation Batteries 2 (RISING2) (Grant ID: P16001)’ of the New Energy and Industrial Technology Development Organization of Japan and by the ‘Development of next-generation storage battery systems for ‘smart communities’ Saitama Leading Edge Project’ of the Saitama Prefecture.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/4
Y1 - 2020/4
N2 - Electrochemical impedance spectroscopy has been widely used to understand the chemistry and physics of battery systems. This review covers electrochemical impedance spectroscopy used for the interpretation of impedance data of lithium-ion batteries (LIBs) from advanced equivalent circuit models to the mathematical model, which is developed by John Newman. In addition, as a method to realize an energy-sustainable society using diagnostics based on the combination of LIBs and electrochemical impedance spectroscopy, on-board diagnostics of battery packs are achieved based on an input signal generated by a power controller in a battery management system instead of the conventionally used frequency response analyzer. The diagnostic system is applicable to energy management systems which are installed in homes, buildings, and communities, accumulating the impedance data on state of health of LIBs. Finally, a future possibility regarding the diagnostics of battery packs coupled with the machine learning of impedance data is introduced.
AB - Electrochemical impedance spectroscopy has been widely used to understand the chemistry and physics of battery systems. This review covers electrochemical impedance spectroscopy used for the interpretation of impedance data of lithium-ion batteries (LIBs) from advanced equivalent circuit models to the mathematical model, which is developed by John Newman. In addition, as a method to realize an energy-sustainable society using diagnostics based on the combination of LIBs and electrochemical impedance spectroscopy, on-board diagnostics of battery packs are achieved based on an input signal generated by a power controller in a battery management system instead of the conventionally used frequency response analyzer. The diagnostic system is applicable to energy management systems which are installed in homes, buildings, and communities, accumulating the impedance data on state of health of LIBs. Finally, a future possibility regarding the diagnostics of battery packs coupled with the machine learning of impedance data is introduced.
KW - Diagnostics
KW - Electrochemical impedance spectroscopy (EIS)
KW - In situ EIS
KW - Lithium-ion battery (LIB)
KW - Machine learning
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U2 - 10.1016/j.coelec.2020.02.026
DO - 10.1016/j.coelec.2020.02.026
M3 - Review article
AN - SCOPUS:85082875457
SN - 2451-9103
VL - 20
SP - 66
EP - 77
JO - Current Opinion in Electrochemistry
JF - Current Opinion in Electrochemistry
ER -
