Adaptive Unscented Kalman Filter with Correntropy Loss for Robust State of Charge Estimation of Lithium-Ion Battery

Adaptive Unscented Kalman Filter with Correntropy Loss for Robust State of Charge Estimation of Lithium-Ion Battery

As an effective computing technique, Kalman filter (KF) currently plays an important role in state of charge (SOC) estimation in battery management systems (BMS). However, the traditional KF with mean square error (MSE) loss faces some difficulties in handling the presence of non-Gaussian noise in t...

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Bibliographic Details
Main Authors: Quan Sun, Hong Zhang, Jianrong Zhang, Wentao Ma
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
SOC estimation
UKF
correntropy loss
adaptive
non-Gaussian noises
Online Access:https://www.mdpi.com/1996-1073/11/11/3123

Internet

https://www.mdpi.com/1996-1073/11/11/3123

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