State-of-charge estimation for supercapacitors based on salp swarm algorithm-optimized high and low degree cubature Kalman filters considering temperature uncertainty-Reference-Cited by-同舟云学术

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State-of-charge estimation for supercapacitors based on salp swarm algorithm-optimized high and low degree cubature Kalman filters considering temperature uncertainty

Published:2024-05 Issue: Volume:485 Page:144116
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Shen Chao,Wang Chun^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. A comparative study of state of charge estimation methods of ultracapacitors for electric vehicles considering temperature characteristics;Wang;J. Energy Storage,2023

2. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries;Wang;Reliab. Eng. Syst. Saf.,2023

3. State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter;Chen;Energy,2023

4. Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range;Liu;eTransportation,2023

5. Adaptive state-of-charge estimation of lithium-ion batteries based on square-root unscented Kalman filter;Chen;Energy,2022

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