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 (VB...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Jing Hou, He He, Yan Yang, Tian Gao, Yifan Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2019-05-01
Serie:	Energies
Soggetti:	state of charge (SOC) lithium-ion battery square root cubature Kalman filter (SRCKF) variational Bayesian approximation Huber’s M-estimation adaptive robust
Accesso online:	https://www.mdpi.com/1996-1073/12/9/1717
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!