Journal article 529 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
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67793 |
| first_indexed |
2024-10-18T11:39:29Z |
|---|---|
| last_indexed |
2024-11-25T14:20:51Z |
| id |
cronfa67793 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2024-10-18T12:39:39.6150140 v2 67793 2024-09-25 An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer 774c33a0a76a9152ca86a156b5ae26ff 0009-0001-9278-7327 Rui Tan Rui Tan true false 2024-09-25 EAAS Journal Article Journal of Power Sources 608 234669 Elsevier BV 0378-7753 State of health; Data-driven; End-cloud collaboration; Transformer; Unscented Kalman filter 15 7 2024 2024-07-15 10.1016/j.jpowsour.2024.234669 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University This work was financially supported by the National Natural Science Foundation of China (No. 52102470, 52302486). 2024-10-18T12:39:39.6150140 2024-09-25T21:19:15.2448543 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering Wentao Wang 0000-0003-0785-3279 1 Kaiyi Yang 2 Lisheng Zhang 3 Sida Zhou 4 Bingtao Ren 5 Yu Lu 6 Rui Tan 0009-0001-9278-7327 7 Tao Zhu 0000-0002-2449-4338 8 Bin Ma 9 Shichun Yang 0000-0003-3426-7988 10 Xinhua Liu 0000-0002-4111-7235 11 |
| title |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer |
| spellingShingle |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer Rui Tan |
| title_short |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer |
| title_full |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer |
| title_fullStr |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer |
| title_full_unstemmed |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer |
| title_sort |
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer |
| author_id_str_mv |
774c33a0a76a9152ca86a156b5ae26ff |
| author_id_fullname_str_mv |
774c33a0a76a9152ca86a156b5ae26ff_***_Rui Tan |
| author |
Rui Tan |
| author2 |
Wentao Wang Kaiyi Yang Lisheng Zhang Sida Zhou Bingtao Ren Yu Lu Rui Tan Tao Zhu Bin Ma Shichun Yang Xinhua Liu |
| format |
Journal article |
| container_title |
Journal of Power Sources |
| container_volume |
608 |
| container_start_page |
234669 |
| publishDate |
2024 |
| institution |
Swansea University |
| issn |
0378-7753 |
| doi_str_mv |
10.1016/j.jpowsour.2024.234669 |
| publisher |
Elsevier BV |
| college_str |
Faculty of Science and Engineering |
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|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering |
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0 |
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0 |
| published_date |
2024-07-15T17:39:49Z |
| _version_ |
1850690912051527680 |
| score |
11.08899 |