A Battery Prognostics and Health Management Technique Based on Knee Critical Interval and Linear Complexity Self-Attention Transformer in Electric Vehicles-Reference-Cited by-同舟云学术

A Battery Prognostics and Health Management Technique Based on Knee Critical Interval and Linear Complexity Self-Attention Transformer in Electric Vehicles

Published:2024-08 Issue:8 Volume:25 Page:10216-10230
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ma Yan¹^ORCID,Li Jiaqi¹,Hu Yunfeng¹^ORCID,Chen Hong¹^ORCID

Affiliation:

1. Department of Control Science and Engineering, Jilin University, Changchun, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10621861/10443716.pdf?arnumber=10443716

Reference54 articles.

1. A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods

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4. Synthesis of degradation mechanisms and of their impacts on degradation rates on proton-exchange membrane fuel cells and lithium-ion nickel–manganese–cobalt batteries in hybrid transport applications

5. Detecting undesired lithium plating on anodes for lithium-ion batteries – A review on the in-situ methods

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