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

Journal Article
2015-01-9147
ISSN: 2167-4191, e-ISSN: 2167-4205
DOI: https://doi.org/10.4271/2015-01-9147
Published May 01, 2016 by SAE International in United States
Prediction of Lithium-ion Battery's Remaining Useful Life Based on Relevance Vector Machine
Sector:
Citation: Zhang, Z., Huang, M., Chen, Y., and Zhu, S., "Prediction of Lithium-ion Battery's Remaining Useful Life Based on Relevance Vector Machine," SAE Int. J. Alt. Power. 5(1):30-40, 2016, https://doi.org/10.4271/2015-01-9147.
Language: English

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