A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

An accurate state of charge (SOC) estimation is vital for safe operation and efficient management of lithium-ion batteries. To improve the accuracy and robustness, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber’s M-estimation...

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Bibliographic Details
Main Authors: Jing Hou, He He, Yan Yang, Tian Gao, Yifan Zhang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Energies
Subjects:
state of charge (SOC)
lithium-ion battery
square root cubature Kalman filter (SRCKF)
variational Bayesian approximation
Huber’s M-estimation
adaptive
robust
Online Access:https://www.mdpi.com/1996-1073/12/9/1717

Internet

https://www.mdpi.com/1996-1073/12/9/1717

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