Diagnosis Method for Li-Ion Battery Fault Based on an Adaptive Unscented Kalman Filter

Diagnosis Method for Li-Ion Battery Fault Based on an Adaptive Unscented Kalman Filter

The reliability of battery fault diagnosis depends on an accurate estimation of the state of charge and battery characterizing parameters. This paper presents a fault diagnosis method based on an adaptive unscented Kalman filter to diagnose the parameter bias faults for a Li-ion battery in real time...

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Bibliographic Details
Main Authors: Changwen Zheng, Yunlong Ge, Ziqiang Chen, Deyang Huang, Jian Liu, Shiyao Zhou
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Energies
Subjects:
battery fault diagnosis
battery management system
parameters estimation
state of charge estimation
adaptive unscented Kalman filter
Online Access:https://www.mdpi.com/1996-1073/10/11/1810

Internet

https://www.mdpi.com/1996-1073/10/11/1810

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