Dynamic Long Short-Term Memory Neural-Network- Based Indirect Remaining-Useful-Life Prognosis for Satellite Lithium-Ion Battery

Dynamic Long Short-Term Memory Neural-Network- Based Indirect Remaining-Useful-Life Prognosis for Satellite Lithium-Ion Battery

On-line remaining-useful-life (RUL) prognosis is still a problem for satellite Lithium-ion (Li-ion) batteries. Meanwhile, capacity, widely used as a health indicator of a battery (HI), is inconvenient or even impossible to measure. Aiming at practical and precise prediction of the RUL of satellite L...

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Bibliographic Details
Main Authors:	Cunsong Wang, Ningyun Lu, Senlin Wang, Yuehua Cheng, Bin Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2018-10-01
Series:	Applied Sciences
Subjects:	Lithium-ion battery remaining useful life health indictor long short-term memory
Online Access:	https://www.mdpi.com/2076-3417/8/11/2078

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