A knowledge-constrained CNN-BiLSTM model for lithium-ion batteries state-of-charge estimation

Saved in:
Bibliographic Details
Published inMicroelectronics and reliability Vol. 150; p. 115112
Main Authors Yan, Bei, Zheng, Wenjian, Tang, Diyin, LaiLi, Yuanjun, Xing, Yalan
Format Journal Article
LanguageEnglish
Published 01.11.2023
Online AccessGet full text
ISSN0026-2714
DOI10.1016/j.microrel.2023.115112

Cover

ArticleNumber 115112
Author Yan, Bei
Zheng, Wenjian
Tang, Diyin
Xing, Yalan
LaiLi, Yuanjun
Author_xml – sequence: 1
  givenname: Bei
  surname: Yan
  fullname: Yan, Bei
– sequence: 2
  givenname: Wenjian
  surname: Zheng
  fullname: Zheng, Wenjian
– sequence: 3
  givenname: Diyin
  surname: Tang
  fullname: Tang, Diyin
– sequence: 4
  givenname: Yuanjun
  surname: LaiLi
  fullname: LaiLi, Yuanjun
– sequence: 5
  givenname: Yalan
  surname: Xing
  fullname: Xing, Yalan
BookMark eNqFkEFOwzAQRb0oEm3hCsgXcPC4SWxLbEoFFKmUBWWJLMdxWpckRrYR4vakFDZsWI00mjf6_03QqPe9RegCaAYUyst91jkTfLBtxiibZQAFABuhMaWsJIxDfoomMe4ppZwCjNHLHL_2_qO19dYS4_uYgna9rfFivSbXbvW0ecCdr22LGx9w69LOvXfE-R5XOiUbnI04Jp0s8Q0xOx22FtuYXKfTcHSGThrdRnv-M6fo-fZms1iS1ePd_WK-IoYVRSK6hlqWTFhZAJeFbIwQjTbDVktZVtWMCyYF4zwvJBV5Xg6tBDfSgICKUT6bovL4d-geY7CNegtDhPCpgKqDGLVXv2LUQYw6ihnAqz-gcek7-sFD-x_-BV7rccI
CitedBy_id crossref_primary_10_1088_1361_6501_ad69b3
crossref_primary_10_3390_batteries10030074
crossref_primary_10_1109_ACCESS_2024_3434557
crossref_primary_10_1016_j_est_2024_112571
crossref_primary_10_1016_j_jpowsour_2024_235374
crossref_primary_10_1109_TVT_2024_3447228
crossref_primary_10_1016_j_est_2024_111524
crossref_primary_10_1016_j_est_2025_115437
Cites_doi 10.1016/j.compind.2022.103794
10.3390/s21175698
10.1016/j.apenergy.2020.114932
10.1109/TIA.2020.3004294
10.1016/j.jhydrol.2020.124700
10.1016/j.rser.2020.110015
10.1016/j.jcp.2021.110624
10.1109/TIE.2018.2880668
10.1016/j.ress.2022.108905
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.1016/j.microrel.2023.115112
DatabaseName CrossRef
DatabaseTitle CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
ExternalDocumentID 10_1016_j_microrel_2023_115112
GroupedDBID --K
--M
.DC
.~1
0R~
123
1B1
1~.
1~5
29M
4.4
457
4G.
5VS
7-5
71M
8P~
9JN
AABNK
AABXZ
AAEDT
AAEDW
AAEPC
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AATTM
AAXKI
AAXUO
AAYFN
AAYWO
AAYXX
ABBOA
ABFNM
ABFRF
ABJNI
ABMAC
ABWVN
ABXDB
ABXRA
ACDAQ
ACGFS
ACNNM
ACRLP
ACRPL
ACVFH
ACZNC
ADBBV
ADCNI
ADEZE
ADJOM
ADMUD
ADNMO
ADTZH
AEBSH
AECPX
AEFWE
AEIPS
AEKER
AENEX
AEUPX
AEZYN
AFJKZ
AFPUW
AFRZQ
AFTJW
AFXIZ
AGCQF
AGHFR
AGQPQ
AGRNS
AGUBO
AGYEJ
AHHHB
AHJVU
AHZHX
AIALX
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
AOUOD
APXCP
AXJTR
AZFZN
BJAXD
BKOJK
BLXMC
BNPGV
CITATION
CS3
DU5
EBS
EFJIC
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
GBOLZ
HVGLF
HZ~
IHE
J1W
JJJVA
KOM
LY7
M41
MAGPM
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
RNS
ROL
RPZ
RXW
SDF
SDG
SES
SET
SEW
SPC
SPCBC
SPD
SSH
SSM
SST
SSV
SSZ
T5K
T9H
TAE
UHS
UNMZH
WUQ
XOL
ZMT
~G-
ID FETCH-LOGICAL-c255t-ad1d9628e9517959fc88facd1da996bb3782982774590844615187c9c181b2073
ISSN 0026-2714
IngestDate Tue Jul 01 01:27:49 EDT 2025
Thu Apr 24 23:01:08 EDT 2025
IsPeerReviewed true
IsScholarly true
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c255t-ad1d9628e9517959fc88facd1da996bb3782982774590844615187c9c181b2073
ParticipantIDs crossref_primary_10_1016_j_microrel_2023_115112
crossref_citationtrail_10_1016_j_microrel_2023_115112
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-11-00
PublicationDateYYYYMMDD 2023-11-01
PublicationDate_xml – month: 11
  year: 2023
  text: 2023-11-00
PublicationDecade 2020
PublicationTitle Microelectronics and reliability
PublicationYear 2023
References Herle (10.1016/j.microrel.2023.115112_bb0035)
Wang (10.1016/j.microrel.2023.115112_bb0020) 2020; 131
Javid (10.1016/j.microrel.2023.115112_bb0045) 2020
Kollmeyer (10.1016/j.microrel.2023.115112_bb0070) 2018
Meng (10.1016/j.microrel.2023.115112_bb0015) 2019; 66
How (10.1016/j.microrel.2023.115112_bb0030) 2020; 56
Chen (10.1016/j.microrel.2023.115112_bb0060) 2021; 445
Udeogu (10.1016/j.microrel.2023.115112_bb0040) 2022
Li (10.1016/j.microrel.2023.115112_bb0050) 2023; 144
Li (10.1016/j.microrel.2023.115112_bb0055) 2023; 230
Wang (10.1016/j.microrel.2023.115112_bb0065) 2020; 584
Wei (10.1016/j.microrel.2023.115112_bb0010) 2020; 268
Li (10.1016/j.microrel.2023.115112_bb0005) 2021; 21
Hun (10.1016/j.microrel.2023.115112_bb0025) 2021
References_xml – volume: 144
  year: 2023
  ident: 10.1016/j.microrel.2023.115112_bb0050
  article-title: A CM&CP framework with a GIACC method and an ensemble model for remaining useful life prediction
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2022.103794
– year: 2022
  ident: 10.1016/j.microrel.2023.115112_bb0040
– volume: 21
  start-page: 5698
  year: 2021
  ident: 10.1016/j.microrel.2023.115112_bb0005
  article-title: A battery SOC estimation method based on AFFRLS-EKF
  publication-title: Sensors.
  doi: 10.3390/s21175698
– volume: 268
  year: 2020
  ident: 10.1016/j.microrel.2023.115112_bb0010
  article-title: A noise-tolerant model parameterization method for lithium-ion battery management system
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2020.114932
– volume: 56
  start-page: 5565
  year: 2020
  ident: 10.1016/j.microrel.2023.115112_bb0030
  article-title: State-of-charge estimation of Li-ion battery in electric vehicles: a deep neural network approach
  publication-title: IEEE Trans. Ind. Appl.
  doi: 10.1109/TIA.2020.3004294
– volume: 584
  year: 2020
  ident: 10.1016/j.microrel.2023.115112_bb0065
  article-title: Deep learning of subsurface flow via theory-guided neural network
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2020.124700
– year: 2018
  ident: 10.1016/j.microrel.2023.115112_bb0070
– start-page: 464
  year: 2021
  ident: 10.1016/j.microrel.2023.115112_bb0025
  article-title: LISA: a transferable light-weight multi-head self-attention neural network model for lithium-ion batteries state-of-charge estimation
– volume: 131
  year: 2020
  ident: 10.1016/j.microrel.2023.115112_bb0020
  article-title: A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
  publication-title: Renew. Sust. Energ. Rev.
  doi: 10.1016/j.rser.2020.110015
– volume: 445
  year: 2021
  ident: 10.1016/j.microrel.2023.115112_bb0060
  article-title: Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
  publication-title: J. Comput. Phys.
  doi: 10.1016/j.jcp.2021.110624
– start-page: 3583
  year: 2020
  ident: 10.1016/j.microrel.2023.115112_bb0045
  article-title: Adaptive online gated recurrent unit for lithium-ion battery SOC estimation
– volume: 66
  start-page: 7717
  year: 2019
  ident: 10.1016/j.microrel.2023.115112_bb0015
  article-title: A simplified model-based state-of-charge estimation approach for lithium-ion battery with dynamic linear model
  publication-title: IEEE Trans. Ind. Electron.
  doi: 10.1109/TIE.2018.2880668
– volume: 230
  year: 2023
  ident: 10.1016/j.microrel.2023.115112_bb0055
  article-title: Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2022.108905
– ident: 10.1016/j.microrel.2023.115112_bb0035
SSID ssj0007011
Score 2.442335
SourceID crossref
SourceType Enrichment Source
Index Database
StartPage 115112
Title A knowledge-constrained CNN-BiLSTM model for lithium-ion batteries state-of-charge estimation
Volume 150
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07T8MwELZ4LDAgnuItD2yVQ-O6bTyWlxAqXWgFDChyHFekoimq2gEGfjtnO41DqYCyRJUlu3Huk313-u47hE78WICfrCgRglHCOJNEUMGIFt5kcOPxijIE2VbtusNuHqoPjjpkqktGkSffZ9aV_MeqMAZ21VWyc1g2XxQG4DfYF55gYXj-ycaNUp4SI1I7errfg07ZtlrkLGnetW9tpxvDJQR_-zkZ94m2d2RUNSFILpmCIjLoEiOZpEpadKPvrDXp9aRpe65jjtV1HqqXxKp852n5R5tOPVOJS0gre5rcq7RXgGI7y1NfJG-JYwWJpGnYBY9jkfbGaTElQStZbV7hmKU1Quu2OjQ_Zq3AbHZQgiPqW_70tzPcphN6Xl9vDbbi6b_w3ISvotlTl1lOMZyw13rhZJ1QrxPadRbRMoW4Qvf68D4cJ6he9m2Lxez9CyXls9-n4M0U3JL2OlrL4gncsODYQAsq3USrBZXJLfTUwDNhgh1MsIEJBpjgAkxwDhM8BRPsYLKNOleX7fNrknXVIBLCxxERsR_zGg0U1-psVd6VQdAVEkYFxL5RVAGfkQfwdViVlwPGtMsb1CWX4AtGFG6EHbSUDlK1i3AXYmdeiYWSOvCN_UDV47KkEMUzcxXsoerk64Qyk5zXW3wJf7bOHjrN571a0ZVfZuzPPeMArTjoHqKl0XCsjsC_HEXHBhOfkgR7Gg
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+knowledge-constrained+CNN-BiLSTM+model+for+lithium-ion+batteries+state-of-charge+estimation&rft.jtitle=Microelectronics+and+reliability&rft.au=Yan%2C+Bei&rft.au=Zheng%2C+Wenjian&rft.au=Tang%2C+Diyin&rft.au=LaiLi%2C+Yuanjun&rft.date=2023-11-01&rft.issn=0026-2714&rft.volume=150&rft.spage=115112&rft_id=info:doi/10.1016%2Fj.microrel.2023.115112&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_microrel_2023_115112
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0026-2714&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0026-2714&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0026-2714&client=summon