An online unscented Kalman filter remaining useful life prediction method applied to second-life lithium-ion batteries-Reference-Cited by-同舟云学术

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An online unscented Kalman filter remaining useful life prediction method applied to second-life lithium-ion batteries

Published:2023-06-28 Issue:6 Volume:105 Page:3481-3492
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Nunes Thomas S. N.,Moura Jonathan J. P.,Prado Oclair G.,Camboim Marcelo M.,de Fatima N. Rosolem Maria,Beck Raul F.,Omae Camila,Ding Hongwu

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00202-023-01910-7.pdf

Reference41 articles.

1. Matsushima T, Horie T (2006) Residual capacity estimation of stationary lithium-ion secondary cells in telecommunications systems using a brief discharge. In: INTELEC 06-twenty-eighth international telecommunications energy conference. pp 1–7

2. Amira I, Guermazi A, Lahyani A (2018) Lithium-ion battery/supercapacitors combination in backup systems. In: 2018 15th international multi-conference on systems, signals and devices (SSD). pp 1117–1121

3. Nakamura M, Takeno K (2018) Green base station using robust solar system and high performance lithium ion battery for next generation wireless network

4. (5G) and against mega disaster. In: 2018 international power electronics conference (IPEC-Niigata 2018-ECCE Asia). pp 201-206

5. Bruce G, Marcoux L (2001) Large lithium ion batteries for aerospace and aircraft applications. In: Sixteenth annual battery conference on applications and advances. Proceedings of the conference (Cat. No. 01TH8533). pp 147–151

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3. A comprehensive review of the aging mechanism and degradation costs of fresh and second‐life batteries based on analytical and deterministic methods;Energy Storage;2024-06

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