Quantitative Analysis of Degradation Modes of Lithium-Ion Battery under Different Operating Conditions
Hao Sun,
Bo Jiang,
Heze You,
Bojian Yang,
Xueyuan Wang,
Xuezhe Wei and
Haifeng Dai
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Hao Sun: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
Bo Jiang: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
Heze You: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
Bojian Yang: United Automotive Electronic Systems Co., Ltd., No. 555, Rongqiao Road, Shanghai 201206, China
Xueyuan Wang: Department of Control Science and Engineering, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
Xuezhe Wei: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
Haifeng Dai: School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
Energies, 2021, vol. 14, issue 2, 1-19
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.
Keywords: lithium-ion battery; degradation mode; electrochemical impedance spectroscopy; quantitative analysis; equivalent circuit model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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