Lithium-ion battery SoH estimation based on incremental capacity peak tracking at several current levels for online application
| Autor: | Jean-Yves Deletage, M. Maures, J.-M. Vinassa, Olivier Briat, A. Capitaine |
|---|---|
| Přispěvatelé: | Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Materials science Diagnostic methods State of health 020208 electrical & electronic engineering Estimator 02 engineering and technology Condensed Matter Physics Tracking (particle physics) 01 natural sciences Atomic and Molecular Physics and Optics Lithium-ion battery Surfaces Coatings and Films Electronic Optical and Magnetic Materials [SPI]Engineering Sciences [physics] Control theory 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Safety Risk Reliability and Quality Charge and discharge |
| Zdroj: | Microelectronics Reliability Microelectronics Reliability, Elsevier, 2020, 114, pp.113798-. ⟨10.1016/j.microrel.2020.113798⟩ |
| ISSN: | 0026-2714 |
| DOI: | 10.1016/j.microrel.2020.113798⟩ |
| Popis: | In this paper, an extension to high C-rates of State of Health (SoH) diagnostic methods based on Incremental Capacity (IC) peak tracking is proposed. A set of eleven NCA Lithium-ion batteries who went under different ageing protocol is used. Charge and discharge cycles are performed at C/20, C/10, C/5 and C/2, and then used for IC analysis. Correlations between the variations of IC peaks and SoH are presented and modelized, and shown to be accurate estimators for all tested C-rates. |
| Databáze: | OpenAIRE |
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