Application of adaptive extended Kalman algorithm based on strong tracking fading factor in Stat-of-Charge estimation of lithium-ion battery

Author:

Zhan Mingjing,Wu Baigong,Xu Guoqi,Li Wenjuan,Liang Darong,Zhang Xiao

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference38 articles.

1. A method for SOC estimation based on simplified mechanistic model for LiFePO4 battery;Li;Energy,2016

2. Deep convolutional neural network based closed-loop SOC estimation for lithium-ion batteries in hierarchical scenarios;Wang;Energy,2023

3. Complementary cooperative SOC/capacity estimator based on the discrete variational derivative combined with the DEKF for electric power applications;Park;Energy,2021

4. Design and implementation of a battery management system with active charge balance based on the SOC and SOH online estimation;Ren;Energy,2019

5. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries;Takyi-Aninakwa;Appl Energy,2022

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