Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm
Shared by
Frede Blaabjerg
Aalborg University
Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm
Article
2025
en
Related publications
Preprint
2024
Online State of Charge Estimation for Lithium-Ion Batteries Based on Improved Fuzzy C-Means Clustering Sparrow Search Algorithm-Backpropagation Neural Network
Article
2025
Improved harmonic loss – History gated unit recycling for online state of charge and state of energy co-estimation of lithium-ion batteries for large-scale energy storage stations
Shunli Wang
,
J. Wei
,
Liya Zhang
,
Huan Li
,
,
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Carlos Fernández
Frede Blaabjerg
Article
2025
A Hybrid Neural Network Optimized by an Improved Harris Hawk Algorithm for State of Charge Estimation of Lithium-Ion Batteries Under Wide Temperature Environmental Conditions
Preprint
2026
An improved Noise Covariance Adaptable X – Unscented Kalman Filtering algorithm for accurate state of charge estimation in lithium-ion batteries adaptive to varying temperature conditions
Ebenezer Koukoyi
,
Shunli Wang
,
Xiaoxia Li
,
Junjie Tao
,
Carlos Fernández
,
Frede Blaabjerg
Article
2021
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
Discussion(0)
No comments yet. Be the first to comment.