Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model-Reference-Cited by-同舟云学术

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Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model

Published:2020-06 Issue: Volume:344 Page:136098
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Liu Boyang,Tang Xiaopeng,Gao Furong

Funder

Hong Kong Research Grant Council

Ministry of Science and Technology of People’s Republic of China

Guangzhou scientific and technological project

HKUST

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference60 articles.

1. Tang X., Zou C, Wik T., Yao K., Xia Y., Wang Y., Yang D., Gao F., Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs, IEEE Transactions on Power Electronics 352020 (2) (Feb) 1499–1512, doi:10.1109/TPEL.2019.2919709.

2. A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer;Tang;J. Power Sources,2015

3. On state-of-charge determination for lithium-ion batteries;Li;J. Power Sources,2017

4. Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering;Hu;Appl. Energy,2020

5. State-of-charge estimation for battery management system using optimized support vector machine for regression;Hu;J. Power Sources,2014

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