Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons-Reference-Cited by-同舟云学术

Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons

Published:2022-01 Issue: Volume:305 Page:117962
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Xi Zhimin,Wang Rui,Fu Yuhong,Mi Chris

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference22 articles.

1. Electrochemical and in situ x-ray diffraction studies of lithium intercalation in LixCoO2;Reimers;J Electrochem Soc,1992

2. Discharge model for the lithium iron-phosphate electrode;Srinivasan;J Electrochem Soc,2004

3. Thermal-electrochemical modeling of battery systems;Gu;J Electrochem Soc,2000

4. Online estimation of the state of charge of a lithium ion cell;Santhanagopalan;J Power Sources,2006

5. Algorithms for Advanced Battery-Management Systems: Modeling, estimation, and control challenges for lithium-ion batteries;Chaturvedi;IEEE Control Syst,2010

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discrete-time state-of-charge estimator for latent heat thermal energy storage units based on a recurrent neural network;Applied Energy;2024-10

2. Comparison of techniques based on frequency response analysis for state of health estimation in lithium-ion batteries;Energy;2024-09

3. State of Health Estimation of Lithium‐ion Batteries Based on Machine Learning with Mechanical‐Electrical Features;Batteries & Supercaps;2024-06-14

4. An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters;Engineering Applications of Artificial Intelligence;2024-06

5. State-of-charge estimation of sodium-ion batteries: A fusion deep learning approach;Journal of Energy Storage;2024-06