Prognosis and Remaining Useful Life Estimation of Lithium-Ion Battery with Optimal Multi-Level Particle Filter and Genetic Algorithm

Prognosis and Remaining Useful Life Estimation of Lithium-Ion Battery with Optimal Multi-Level Particle Filter and Genetic Algorithm

Prognosis and remaining useful life (RUL) estimation of components and systems (C&S) are vital for intelligent asset-integrity management. The implementation of the traditional multi-level particle filter (TRMPF) has improved prognosis when compared with the one-step traditional particle fil...

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Bibliographic Details
Main Author: Chinedu I. Ossai
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Batteries
Subjects:
end-of-life
genetic algorithm
lithium-ion battery
multi-level particle filter
prognosis
remaining useful life
Online Access:http://www.mdpi.com/2313-0105/4/2/15

Internet

http://www.mdpi.com/2313-0105/4/2/15

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