State of Charge Estimation of Lithium-Ion Batteries Based on Vector Forgetting Factor Recursive Least Square and Improved Adaptive Cubature Kalman Filter

State of Charge Estimation of Lithium-Ion Batteries Based on Vector Forgetting Factor Recursive Least Square and Improved Adaptive Cubature Kalman Filter

Accurate online parameter identification and state of charge (SOC) estimation are both very crucial for ensuring the operating safety of lithium-ion batteries and usually the former is a base of the latter. To achieve accurate and stable SOC estimation results, this paper proposes a model-based meth...

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Bibliographic Details
Main Authors: Yiyi Guo, Jindong Tian, Xiaoyu Li, Bai Song, Yong Tian
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Batteries
Subjects:
state of charge
vector forgetting factor least square
non-positive definite error covariance matrix
UR decomposition
adaptive cubature Kalman filtering
Online Access:https://www.mdpi.com/2313-0105/9/10/499

Internet

https://www.mdpi.com/2313-0105/9/10/499

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