Online two-dimensional filter for anti-interference aging features extraction to accurately predict the battery health-Reference-Cited by-同舟云学术

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Online two-dimensional filter for anti-interference aging features extraction to accurately predict the battery health

Published:2024-07 Issue: Volume:234 Page:114758
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Xia Fei^ORCID,Tang Chao,Chen Jiajun

Publisher

Elsevier BV

Reference71 articles.

1. Joint SOH-SOC estimation model for lithium-ion batteries based on GWO-BP neural network[J];Zhang;Energies,2022

2. A relative state of health estimation method based on wavelet analysis for lithium-ion battery cells[J];Xu;IEEE Transactions on Industrial Electronics,2020

3. Recent progress in advanced materials for lithium ion batteries[J];Chen;Materials,2013

4. History, evolution, and future status of energy storage[J];Whittingham;Proceedings of the IEEE,2012

5. Hydrothermal synthesis of lithium iron phosphate[J];Chen;Electrochemistry Communications,2006

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