Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating-Reference-Cited by-同舟云学术

Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating

Published:2024-05 Issue: Volume:86 Page:111283
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Zeng Jiawei,Wang Shunli,Zhang Mengyun,Cao Wen,Fernandez Carlos,Guerrero Josep M.

Publisher

Elsevier BV

Reference47 articles.

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3. An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation;Wang;Energy,2022

4. A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation;Wang;J. Energy Storage,2023

5. An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range;Jiang;Energy,2023

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1. A hybrid model for state of charge estimation of lithium-ion batteries utilizing improved adaptive extended Kalman filter and long short-term memory neural network;Journal of Power Sources;2024-11

2. State-of-health estimation for fast-charging lithium-ion batteries based on a short charge curve using graph convolutional and long short-term memory networks;Journal of Energy Chemistry;2024-11

3. State-of-Health Estimation of Lithium-Ion Batteries Using Multiple Correlation Analysis-Based Feature Screening and Optimizing Echo State Networks with the Weighted Mean of Vectors;2024