Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

Lithium-ion batteries are the current most promising device for electric vehicle applications. They have been widely used because of their advantageous features, such as high energy density, many cycles, and low self-discharge. One of the critical factors for the correct operation of an electric veh...

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Bibliographic Details
Main Authors: Diego Castanho, Marcio Guerreiro, Ludmila Silva, Jony Eckert, Thiago Antonini Alves, Yara de Souza Tadano, Sergio Luiz Stevan, Hugo Valadares Siqueira, Fernanda Cristina Corrêa
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
state of charge
lithium-ion battery
computational intelligence
electric vehicle
MLR
Online Access:https://www.mdpi.com/1996-1073/15/19/6881

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