Research on Parameter Self-Learning Unscented Kalman Filtering Algorithm and Its Application in Battery Charge of State Estimation

Research on Parameter Self-Learning Unscented Kalman Filtering Algorithm and Its Application in Battery Charge of State Estimation

A novel state estimation algorithm based on the parameters of a self-learning unscented Kalman filter (UKF) with a model parameter identification method based on a collaborative optimization mechanism is proposed in this paper. This algorithm can realize the dynamic self-learning and self-adjustment...

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Bibliographic Details
Main Authors: Fang Liu, Jie Ma, Weixing Su, Hanning Chen, Maowei He
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
unscented Kalman filter
parameter identification
battery management system
state of charge
Online Access:https://www.mdpi.com/1996-1073/13/7/1679

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