Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network

Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network

Currently, Lithium-ion batteries (LiB) are widely applied in energy storage devices in smart grids and electric vehicles. The state of charge (SOC) is an indication of the available battery capacity, and is one of the most important factors that should be monitored to optimize LiB’s performance and...

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Bibliographic Details
Main Authors: Van Quan Dao, Minh-Chau Dinh, Chang Soon Kim, Minwon Park, Chil-Hoon Doh, Jeong Hyo Bae, Myung-Kwan Lee, Jianyong Liu, Zhiguo Bai
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
Artificial neural network
battery management system
Kalman filter
lithium-ion battery
state of charge estimation
Online Access:https://www.mdpi.com/1996-1073/14/9/2634

Internet

https://www.mdpi.com/1996-1073/14/9/2634

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