A Comparison Study of Unidirectional and Bidirectional Recurrent Neural Network for Battery State of Charge Estimation

Yao, Q; Kollmeyer, PJ; Lu, DD-C; Emadi, A

A Comparison Study of Unidirectional and Bidirectional Recurrent Neural Network for Battery State of Charge Estimation

Yao, Q Kollmeyer, PJ Lu, DD-C Emadi, A

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ITEC 2024, 2024, 00
Issue Date:: 2024

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Full metadata record

Field	Value	Language
dc.contributor.author	Yao, Q
dc.contributor.author	Kollmeyer, PJ
dc.contributor.author	Lu, DD-C
dc.contributor.author	Emadi, A
dc.date	2024-06-19
dc.date.accessioned	2025-02-19T21:40:26Z
dc.date.available	2025-02-19T21:40:26Z
dc.date.issued	2024
dc.identifier.citation	2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ITEC 2024, 2024, 00
dc.identifier.isbn	979-8-3503-1767-1
dc.identifier.issn	2377-5483
dc.identifier.issn	2473-7631
dc.identifier.uri	http://hdl.handle.net/10453/185217
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ITEC 2024
dc.relation.ispartof	Transportation Electrification Conference and Expo (ITEC)
dc.relation.ispartofseries	IEEE Transportation Electrification Conference and Expo
dc.relation.isbasedon	10.1109/ITEC60657.2024.10598937
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Comparison Study of Unidirectional and Bidirectional Recurrent Neural Network for Battery State of Charge Estimation
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	IL, Chicago
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2025-02-19T21:40:25Z
pubs.finish-date	2024-06-21
pubs.publication-status	Published
pubs.start-date	2024-06-19
pubs.volume	00

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http://hdl.handle.net/10453/185217