| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7735189 | Journal of Power Sources | 2015 | 10 Pages |
Abstract
The classification algorithm accuracy is studied on the obtained real data. The results suggest that battery signals patterns analysis provides an innovative technique for online estimation of the battery performance level. A detection of dysfunctions caused by ageing is also made, only based on battery signals pattern extracted during real vehicle accelerations.
Related Topics
Physical Sciences and Engineering
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Electrochemistry
Authors
Anthony Barré, Frédéric Suard, Mathias Gérard, Delphine Riu,