Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features

Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features

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...

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Bibliographic Details
Main Authors: Muhammad Umair Ali, Amad Zafar, Sarvar Hussain Nengroo, Sadam Hussain, Gwan-Soo Park, Hee-Je Kim
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Energies
Subjects:
battery management system (bms)
remaining useful life (rul)
support vector machine (svm)
partial discharge data (pdd)
classification
Online Access:https://www.mdpi.com/1996-1073/12/22/4366

Internet

https://www.mdpi.com/1996-1073/12/22/4366

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