LAPSE:2023.21687
Published Article
LAPSE:2023.21687
Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra
Dongxu Guo, Geng Yang, Guangjin Zhao, Mengchao Yi, Xuning Feng, Xuebing Han, Languang Lu, Minggao Ouyang
March 22, 2023
Abstract
Electrochemical impedance spectroscopy (EIS) is a powerful tool for investigating electrochemical systems, such as lithium-ion batteries or fuel cells, given its high frequency resolution. The distribution of relaxation times (DRT) method offers a model-free approach for a deeper understanding of EIS data. However, in lithium-ion batteries, the differential capacity caused by diffusion processes is non-negligible and cannot be decomposed by the DRT method, which limits the applicability of the DRT method to lithium-ion batteries. In this study, a joint estimation method with Tikhonov regularization is proposed to estimate the differential capacity and the DRT simultaneously. Moreover, the equivalence of the differential capacity and the incremental capacity is proven. Different types of commercial lithium-ion batteries are tested to validate the joint estimation method and to verify the equivalence. The differential capacity is shown to be a promising approach to the evaluation of the state-of-health (SOH) of lithium-ion batteries based on its equivalence with the incremental capacity.
Keywords
differential capacity, distribution of relaxation times, electrochemical impedance spectroscopy, joint estimation, lithium-ion battery, state-of-health evaluation
Suggested Citation
Guo D, Yang G, Zhao G, Yi M, Feng X, Han X, Lu L, Ouyang M. Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra. (2023). LAPSE:2023.21687
Author Affiliations
Guo D: Department of Automation, Tsinghua University, Beijing 100084, China
Yang G: Department of Automation, Tsinghua University, Beijing 100084, China
Zhao G: State Grid Henan Electric Power Research Institute, Zhengzhou 450052, China
Yi M: College of Engineering, China Agricultural University, Beijing 100083, China
Feng X: State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Han X: State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Lu L: State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Ouyang M: State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Journal Name
Energies
Volume
13
Issue
4
Article Number
E915
Year
2020
Publication Date
2020-02-18
ISSN
1996-1073
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PII: en13040915, Publication Type: Journal Article
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https://doi.org/10.3390/en13040915
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