Summary of Health-State Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy

Author:

Sun Xinwei1,Zhang Yang23,Zhang Yongcheng4,Wang Licheng5,Wang Kai1ORCID

Affiliation:

1. School of Electrical Engineering, Weihai Innovation Research Institute, Qingdao University, Qingdao 266000, China

2. Machine Electric Soft Network Administration Capital (MESNAC) Cooperation, Qingdao 266042, China

3. Strategy Research Institute, State Power Investment Cooperation, Beijing 100029, China

4. College of Physics, Weihai Innovation Research Institute, Qingdao University, Qingdao 266000, China

5. School of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China

Abstract

With the increasing application of lithium-ion batteries, accurate estimation of the state of health (SOH) of lithium-ion batteries is of great significance for the safe operation of lithium-ion battery systems and the reduction of operation and maintenance costs. The complex physical and chemical reactions inside the lithium battery and the complex external working conditions make it challenging to achieve an accurate health-state estimation and life prediction. Therefore, the accurate estimation of the SOH of lithium-ion batteries is an important issue. At present, electrochemical impedance spectroscopy (EIS) is widely used in the study of battery-power impedance characteristics and battery-state estimation due to its advantage of nondestructive measurement. For this reason, this paper summarizes the research progress of lithium-ion SOH estimation based on EIS in recent years and details it layer by layer, mainly from two aspects: first, the quantitative relationship model between the characteristic parameters and SOH is established by constructing a frequency domain-equivalent circuit model. Secondly, we construct a quantitative relationship model between EIS data and SOH using the data-driven method. Finally, the advantages and disadvantages of different methods and estimation accuracy are analyzed and compared, and the future estimation of SOH based on EIS is prospected.

Funder

Youth Fund of Shandong Province Natural Science Foundation

Key Projects of Shandong Province Natural Science Foundation

Guangdong Provincial Key Lab of Green Chemical Product Technology

Zhejiang Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference96 articles.

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