| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4916583 | Applied Energy | 2016 | 9 Pages |
Abstract
Commercial batteries (1.4Â Ah cylindrical LiFePO4/graphite cell) were selected in this study to validate the diagnostic method in the framework of an applied case study related to an electric school bus demonstrator. In order to study the capability of QEIS measurements as a diagnostic tool for SoH of Li-ion cells, a test procedure including ageing phases has been defined to characterise Li-ion cells before and during ageing. Voltage and current signals were treated by Fast Fourier Transform (FFT) in order to determine the QEIS spectra of Li-ion cells under study. Then, SoH prediction algorithms have been obtained from a mathematical analysis of the impedance parameters sensitive to SoH.
Keywords
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Energy Engineering and Power Technology
Authors
R. Mingant, J. Bernard, V. Sauvant-Moynot,