LAPSE:2023.29030
Published Article
LAPSE:2023.29030
Quantitative Analysis of Degradation Modes of Lithium-Ion Battery under Different Operating Conditions
April 12, 2023
Abstract
The degradation mode is of great significance for reducing the complexity of research on the aging mechanisms of lithium-ion batteries. Previous studies have grouped the aging mechanisms into three degradation modes: conductivity loss (CL), loss of lithium inventory (LLI) and loss of active material (LAM). Combined with electrochemical impedance spectroscopy (EIS), degradation modes can be identified and quantified non-destructively. This paper aims to extend the application of this method to more operating conditions and explore the impact of external factors on the quantitative results. Here, we design a quantification method using two equivalent circuit models to cope with the different trends of impedance spectra during the aging process. Under four conditions, the changing trends of the quantitative values of the three degradation modes are explored and the effects of the state of charge (SoC) and excitation current during EIS measurement are statistically analyzed. It is verified by experiments that LLI and LAM are the most critical aging mechanisms under various conditions. The selection of SoC has a significant effect on the quantitative results, but the influence of the excitation current is not obvious.
The degradation mode is of great significance for reducing the complexity of research on the aging mechanisms of lithium-ion batteries. Previous studies have grouped the aging mechanisms into three degradation modes: conductivity loss (CL), loss of lithium inventory (LLI) and loss of active material (LAM). Combined with electrochemical impedance spectroscopy (EIS), degradation modes can be identified and quantified non-destructively. This paper aims to extend the application of this method to more operating conditions and explore the impact of external factors on the quantitative results. Here, we design a quantification method using two equivalent circuit models to cope with the different trends of impedance spectra during the aging process. Under four conditions, the changing trends of the quantitative values of the three degradation modes are explored and the effects of the state of charge (SoC) and excitation current during EIS measurement are statistically analyzed. It is verified by experiments that LLI and LAM are the most critical aging mechanisms under various conditions. The selection of SoC has a significant effect on the quantitative results, but the influence of the excitation current is not obvious.
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Keywords
degradation mode, electrochemical impedance spectroscopy, equivalent circuit model, lithium-ion battery, quantitative analysis
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Suggested Citation
Sun H, Jiang B, You H, Yang B, Wang X, Wei X, Dai H. Quantitative Analysis of Degradation Modes of Lithium-Ion Battery under Different Operating Conditions. (2023). LAPSE:2023.29030
Author Affiliations
Sun H: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China [ORCID]
Jiang B: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China
You H: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China [ORCID]
Yang B: United Automotive Electronic Systems Co., Ltd., No. 555, Rongqiao Road, Shanghai 201206, China
Wang X: Department of Control Science and Engineering, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China [ORCID]
Wei X: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China
Dai H: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China
Jiang B: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China
You H: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China [ORCID]
Yang B: United Automotive Electronic Systems Co., Ltd., No. 555, Rongqiao Road, Shanghai 201206, China
Wang X: Department of Control Science and Engineering, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China [ORCID]
Wei X: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China
Dai H: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China; National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China
Journal Name
Energies
Volume
14
Issue
2
Article Number
en14020350
Year
2021
Publication Date
2021-01-10
ISSN
1996-1073
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PII: en14020350, Publication Type: Journal Article
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LAPSE:2023.29030
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https://doi.org/10.3390/en14020350
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