Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Featu...
Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Online accurate estimation of remaining useful life (RUL) of lithium-ion batteries is a necessary feature of any smart battery management system (BMS). In this paper, a novel partial discharge data (PDD)-based support vector machine (SVM) model is proposed for RUL prediction. The proposed algorithm extracts the critical features from the voltage an...
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Full title
Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features
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TN_cdi_doaj_primary_oai_doaj_org_article_e04b38331f9e4881ab258bb486b4d10f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e04b38331f9e4881ab258bb486b4d10f
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en12224366
