State of Charge Estimation of Lithium Battery Utilizing Strong Tracking H-Infinity Filtering Algorithm

State of Charge Estimation of Lithium Battery Utilizing Strong Tracking H-Infinity Filtering Algorithm

The ability to quickly and accurately estimate the state of charge (SOC) of lithium batteries is a key function of the battery management system (BMS). To enhance the accuracy of SOC estimation for lithium batteries, we propose a method that combines the dynamic factor recursive least squares (DFFRL...

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Bibliographic Details
Main Authors: Tianqing Yuan, Yang Liu, Jing Bai, Hao Sun
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Batteries
Subjects:
lithium battery
state of charge
dynamic forgetting factor
recursive least squares
strong tracking H-infinity filtering algorithm
Online Access:https://www.mdpi.com/2313-0105/10/11/388
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