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Journal of Electrochemistry ›› 2020, Vol. 26 ›› Issue (5): 607-627.  doi: 10.13208/j.electrochem.200641

Special Issue: “表界面分析”专题文章

• Memorial Special Issue for Professor Chuansin Cha (Guest Editor: Professor Xinping Ai,Wuhan University) • Previous Articles     Next Articles

Fundamentals of Distribution of Relaxation Times for Electrochemical Impedance Spectroscopy

WANG Jia1,2, HUANG Qiu-an1,*(), LI Wei-heng1, WANG Juan2,*(), ZHUANG Quan-chao3, ZHANG Jiu-jun1,*()   

  1. 1. Institute for Sustainable Energy, Shanghai University, Shanghai 200444, China
    2. Xi’an Key Laboratory of Clean Energy, Xi’an University of Architecture and Technology,Xi’an 710055, China;
    3. School of Materials Science and Physics, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2020-06-08 Revised:2020-07-05 Online:2020-10-28 Published:2020-07-08
  • Contact: HUANG Qiu-an,WANG Juan,ZHANG Jiu-jun E-mail:qiuan_huang@shu.edu.cn;juanwang168@gmail.com;jiujun.zhang@i.shu.edu.cn


Electrochemical impedance spectroscopy (EIS) is a powerful electrochemical characterization technology, which has been widely used in the field of electrochemical energy, such as lithium-ion batteries, supercapacitors, fuel cells, etc. Distribution of relaxation time (DRT) is an EIS deconvolution technique which does not depend on the prior knowledge of the targeted research object. Furthermore, DRT can serve to separate and analyze physical and chemical processes which are highly overlapped in their EIS data. In order to encourage the application and popularization of DRT deconvolution technology, several core questions are addressed in this paper: (1) DRT deconvolution principle, implementation steps and important extensions; (2) DRT deconvolution method for typical circuit elements; (3) DRT implementation software and typical electrochemical energy application examples; (4) achievements, challenges and development trends for DRT deconvolution technique.

Key words: electrochemical impedance spectroscopy, distribution of relaxation time, distribution of differential capacity, distribution of diffusion time, characteristic time constant, lithium-ion battery, supercapacitor, fuel cell

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