A State of Charge Estimation Method Based on Adaptive Extended Kalman-Particle Filtering for Lithium-ion Batteries

A State of Charge Estimation Method Based on Adaptive Extended Kalman-Particle Filtering for Lithium-ion Batteries

A state of charge (SOC) estimation method is proposed. An Adaptive Extended Kalman Particle filter (AEKPF) based on Particle Filter (PF) and Adaptive Kalman Filter (AKF) is used in order to decrease the error and reduce calculations. The second-order resistor-capacitor (RC) Equivalent Circuit Model...

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Bibliographic Details
Main Authors: Bizhong Xia, Shengkun Guo, Wei Wang, Yongzhi Lai, Huawen Wang, Mingwang Wang, Weiwei Zheng
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
lithium-ion battery
adaptive extended Kalman particle filter
second-order model
state of charge estimation
Online Access:http://www.mdpi.com/1996-1073/11/10/2755

Internet

http://www.mdpi.com/1996-1073/11/10/2755

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