Prediction of Lithium-Ion Battery's Remaining Useful Life Based on Relevance Vector Machine

In the field of Electric Vehicle (EV), what the driver is most concerned with is that whether the value of the battery's capacity is less than the failure threshold because of the degradation. And the failure threshold means instability of the battery, which is of great danger for drives and pa...

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Veröffentlicht in:	SAE International journal of alternative powertrains 2016-05, Vol.5 (1), p.30-40, Article 2015-01-9147
Hauptverfasser:	Zhang, Zhiyun, Huang, Miaohua, Chen, Yupu, Zhu, Shuanglong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Batteries Datasets Electric vehicles Equipment and supplies Error rates Lithium cells Mathematical vectors Modeling Probability distributions Properties Time series Training Useful life
Online-Zugang:	Volltext
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