A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems
| Autor: | Kotub Uddin, Gael Henri Chouchelamane, W. Dhammika Widanage, Carlos Pastor-Fernández, James Marco |
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| Rok vydání: | 2017 |
| Předmět: |
Battery (electricity)
Materials science TL Renewable Energy Sustainability and the Environment State of health TK 020209 energy Energy Engineering and Power Technology chemistry.chemical_element 02 engineering and technology 021001 nanoscience & nanotechnology Ion Battery management systems Reliability engineering Dielectric spectroscopy chemistry 0202 electrical engineering electronic engineering information engineering Electronic engineering Degradation (geology) Lithium Electrical and Electronic Engineering Physical and Theoretical Chemistry 0210 nano-technology Voltage |
| Zdroj: | Journal of Power Sources. 360:301-318 |
| ISSN: | 0378-7753 |
| DOI: | 10.1016/j.jpowsour.2017.03.042 |
| Popis: | Degradation of Lithium-ion batteries is a complex process that is caused by a variety of mechanisms. For simplicity, ageing mechanisms are often grouped into three degradation modes (DMs): conductivity loss (CL), loss of active material (LAM) and loss of lithium inventory (LLI). State of Health (SoH) is typically the parameter used by the Battery Management System (BMS) to quantify battery degradation based on the decrease in capacity and the increase in resistance. However, the definition of SoH within a BMS does not currently include an indication of the underlying DMs causing the degradation. Previous studies have analysed the effects of the DMs using incremental capacity and differential voltage (IC-DV) and electrochemical impedance spectroscopy (EIS). The aim of this study is to compare IC-DV and EIS on the same data set to evaluate if both techniques provide similar insights into the causes of battery degradation. For an experimental case of parallelized cells aged differently, the effects due to LAM and LLI were found to be the most pertinent, outlining that both techniques are correlated. This approach can be further implemented within a BMS to quantify the causes of battery ageing which would support battery lifetime control strategies and future battery designs.\ud \ud |
| Databáze: | OpenAIRE |
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