State of Charge Estimation of Lithium ion Battery Based on a New Linear Online Model

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DOI number:10.23919/CCC50068.2020.9189457

Journal:Proceedings of the 39th Chinese Control Conference

Key Words:Lithium ion battery, State of charge estimation, Principal component analysis, Multivariate linear regression, Linear Kalman filter

Abstract:State-of-charge (SOC) estimation is a very important part of battery management system. Many estimation methods are based on nonlinear models, which makes the operation more difficult. In this paper, a new linear online modeling method is proposed and SOC estimation of lithium ion battery is realized. The experimental results show that the method has a good estimation effect. In addition, compared with the SOC estimation of extended Kalman filter based on the first-order RC model, this method requires less computation and has a stronger anti-current interference ability.

Co-author:Chun Shi,Gang Wu

First Author:Muyao Wu

Indexed by:Essay collection

Correspondence Author:Linlin Qin

Discipline:Engineering

Document Type:C

Page Number:5282-5286

ISSN No.:1934-1768

Translation or Not:no

Date of Publication:2020-07-27

Included Journals:EI

Links to published journals:https://ieeexplore.ieee.org/document/9189457