Joint State-of-Charge and State-of-Available-Power Estimation Based on the Online Parameter Identification of Lithium-Ion Battery Model-Reference-Cited by-同舟云学术

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Joint State-of-Charge and State-of-Available-Power Estimation Based on the Online Parameter Identification of Lithium-Ion Battery Model

Published:2022-04 Issue:4 Volume:69 Page:3677-3688
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Zhang Wenjie^ORCID,Wang Liye^ORCID,Wang Lifang^ORCID,Liao Chenglin,Zhang Yuwang^ORCID

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9660828/09409746.pdf?arnumber=9409746

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1. An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures;Energy;2024-09

2. CIM-KF: Efficient Computing-in-memory Circuits for Full-Process Execution of Kalman Filter Algorithm;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

3. Co-estimation of state of charge and model parameters for lithium-ion batteries based on variational Bayesian under time-varying noise and temperature conditions;Journal of Energy Storage;2024-08

4. A Power availablE Estimation Tool for real‐time estimation in aircraft generators;IET Electric Power Applications;2024-06-11

5. State of Charge Estimation of Lithium-ion Batteries via Online Policy Iteration;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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