Journal article 118 views
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer
Wentao Wang 
,
Kaiyi Yang,
Lisheng Zhang,
Sida Zhou,
Bingtao Ren,
Yu Lu,
Rui Tan ,
Tao Zhu ,
Bin Ma,
Shichun Yang ,
Xinhua Liu
,
Kaiyi Yang,
Lisheng Zhang,
Sida Zhou,
Bingtao Ren,
Yu Lu,
Rui Tan ,
Tao Zhu ,
Bin Ma,
Shichun Yang ,
Xinhua Liu
Journal of Power Sources, Volume: 608, Start page: 234669
Swansea University Author:
Rui Tan
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.jpowsour.2024.234669
Abstract
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer
| Published in: | Journal of Power Sources |
|---|---|
| ISSN: | 0378-7753 |
| Published: |
Elsevier BV
2024
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa67793 |
| Keywords: |
State of health; Data-driven; End-cloud collaboration; Transformer; Unscented Kalman filter |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was financially supported by the National Natural Science Foundation of China (No. 52102470, 52302486). |
| Start Page: |
234669 |