A Comparative Study of Three Improved Algorithms Based on Particle Filter Algorithms in SOC Estimation of Lithium Ion Batteries

A Comparative Study of Three Improved Algorithms Based on Particle Filter Algorithms in SOC Estimation of Lithium Ion Batteries

The state of charge (SOC) is an important parameter for batteries, especially those for electric vehicles. Since SOC cannot be obtained directly by measurement, SOC estimation methods are required. In this paper, three model-based methods, including the extended particle filter (EPF), cubature parti...

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Bibliographic Details
Main Authors: Bizhong Xia, Zhen Sun, Ruifeng Zhang, Deyu Cui, Zizhou Lao, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Energies
Subjects:
state of charge
lithium-ion battery
extended particle filter (EPF)
cubature particle filter (CPF)
unscented particle filter (UPF)
Online Access:https://www.mdpi.com/1996-1073/10/8/1149

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https://www.mdpi.com/1996-1073/10/8/1149

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