An All-Region State-of-Charge Estimator Based on Global Particle Swarm Optimization and Improved Extended Kalman Filter for Lithium-Ion Batteries

An All-Region State-of-Charge Estimator Based on Global Particle Swarm Optimization and Improved Extended Kalman Filter for Lithium-Ion Batteries

In this paper, a novel model parameter identification method and a state-of-charge (SOC) estimator for lithium-ion batteries (LIBs) are proposed to improve the global accuracy of SOC estimation in the all SOC range (0⁻100%). Firstly, a subregion optimization method based on particle swarm...

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Bibliographic Details
Main Authors: Xin Lai, Wei Yi, Yuejiu Zheng, Long Zhou
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Electronics
Subjects:
lithium-ion batteries
SOC estimator
parameter identification
particle swarm optimization
improved extended Kalman filter
battery management system
Online Access:https://www.mdpi.com/2079-9292/7/11/321

Internet

https://www.mdpi.com/2079-9292/7/11/321

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