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An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer

Wentao Wang Orcid Logo, Kaiyi Yang, Lisheng Zhang, Sida Zhou, Bingtao Ren, Yu Lu, Rui Tan Orcid Logo, Tao Zhu Orcid Logo, Bin Ma, Shichun Yang Orcid Logo, Xinhua Liu Orcid Logo

Journal of Power Sources, Volume: 608, Start page: 234669

Swansea University Author: Rui Tan Orcid Logo

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DOI (Published version): 10.1016/j.jpowsour.2024.234669

Published in: Journal of Power Sources
ISSN: 0378-7753
Published: Elsevier BV 2024
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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
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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
hierarchytype
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
document_store_str 0
active_str 0
published_date 2024-07-15T08:34:47Z
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score 11.048042

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