Online State of Charge Estimation for Lithium-Ion Batteries Based on Improved Fuzzy C-Means Clustering Sparrow Search Algorithm-Backpropagation Neural Network

Author:

Hai Nan,Wang Shunli,Cao Wen,Blaabjerg Frede,Fernandez Carlos

Publisher

Elsevier BV

Reference43 articles.

1. Toward Enhanced State of Charge Estimation of Lithium-ion Batteries Using Optimized Machine Learning Techniques;M A Hannan;Scientific Reports,2020

2. State of charge estimation for a parallel battery pack jointly by fuzzy-PI model regulator and adaptive unscented Kalman filter;S M Peng;Applied Energy,2024

3. Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model;S M Peng;Energy,2024

4. An LSTM-SA model for SOC estimation of lithium-ion batteries under various temperatures and aging levels;G Chen;Journal of Energy Storage,2024

5. Enhancing low-temperature characteristics of graphite anode by comprehensive modification of electrolyte;M Rakhatkyzy;Electrochemistry Communications,2023

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