Aging mechanism diagnosis of lithium ion battery by open circuit voltage analysis
| Autor: | Liu Shuangyu, Yinzhu Jiang, Yaohe Cao, Dong Dong, Jianbo Nie, Bin Pan, Wang Jionggeng |
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| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Materials science Open-circuit voltage General Chemical Engineering chemistry.chemical_element 02 engineering and technology Internal resistance 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Automotive engineering Lithium-ion battery 0104 chemical sciences Reliability (semiconductor) chemistry Electrochemistry Lithium 0210 nano-technology Nonlinear regression Degradation (telecommunications) |
| Zdroj: | Electrochimica Acta. 362:137101 |
| ISSN: | 0013-4686 |
| DOI: | 10.1016/j.electacta.2020.137101 |
| Popis: | The whole life aging behavior and degradation mechanism of lithium ion battery (LIB) are critical to ensure the stability and reliability during practical operation. In this work, a new LIB aging modelling and diagnosing method is proposed based on open circuit voltage (OCV) analysis, through a two-stage segmented nonlinear regression algorithm to smooth incremental capacity (IC) curves for the reconstruction of universal OCV curves. Such algorithm can well reserve the chemical features of the IC curves, which enables the quantification of the loss of active materials and lithium inventory in a nondestructive manner with this OCV model-based diagnostic method. A case study of a commercial LiFePO4 (LFP) battery shows a satisfied accuracy of the model, realizing a quick identification of aging behavior and capacity degradation modes, as well as the parameter recognition of the battery internal resistance components. |
| Databáze: | OpenAIRE |
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