Parameter Identification of Lithium-ion Battery Equivalent Circuit Model Based on Limited Memory Recursive Least Squares Algorithm with Variable Forgetting Factor

Equivalent circuit method is the most widely used methodology in dynamic modeling of lithium-ion battery. An equivalent circuit with second-order RC network is used to model lithium-ion battery, and a limited memory recursive least square with variable forgetting factor (VFF-LMRLS) is proposed to id...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of physics. Conference series Vol. 2246; no. 1; pp. 12090 - 12099
Main Authors:	Peng, Xianghua, Yin, Jingyuan, Sun, Longfei, Ye, Zeyu, Wei, Tongzhen
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.04.2022
Subjects:	Algorithms Dynamic models Electric potential Equivalent circuits Least squares Lithium Lithium-ion batteries Parameter identification Physics Rechargeable batteries Voltage
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Equivalent circuit method is the most widely used methodology in dynamic modeling of lithium-ion battery. An equivalent circuit with second-order RC network is used to model lithium-ion battery, and a limited memory recursive least square with variable forgetting factor (VFF-LMRLS) is proposed to identify the model parameters in this paper. Firstly, based on the current and voltage data measured from the battery cyclic discharging experiment, the VFF-LMRLS algorithm is used to identify the time-varying parameters of equivalent circuit model. Then, the model verification system is constructed by taking the average value of the identification results in the stable stage as the component parameter value of the equivalent circuit. Finally, through the comparative experiment and analysis with the variable forgetting factor RLS (VFFRLS), it is verified that the terminal voltage error of the proposed method is smaller, indicating that the identified model parameters are closer to the actual parameters.
AbstractList	Equivalent circuit method is the most widely used methodology in dynamic modeling of lithium-ion battery. An equivalent circuit with second-order RC network is used to model lithium-ion battery, and a limited memory recursive least square with variable forgetting factor (VFF-LMRLS) is proposed to identify the model parameters in this paper. Firstly, based on the current and voltage data measured from the battery cyclic discharging experiment, the VFF-LMRLS algorithm is used to identify the time-varying parameters of equivalent circuit model. Then, the model verification system is constructed by taking the average value of the identification results in the stable stage as the component parameter value of the equivalent circuit. Finally, through the comparative experiment and analysis with the variable forgetting factor RLS (VFFRLS), it is verified that the terminal voltage error of the proposed method is smaller, indicating that the identified model parameters are closer to the actual parameters.
Author	Yin, Jingyuan Sun, Longfei Wei, Tongzhen Peng, Xianghua Ye, Zeyu
Author_xml	– sequence: 1 givenname: Xianghua surname: Peng fullname: Peng, Xianghua organization: Institute of Electrical Engineering, Chinese Academy of Sciences , China – sequence: 2 givenname: Jingyuan surname: Yin fullname: Yin, Jingyuan organization: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences , China – sequence: 3 givenname: Longfei surname: Sun fullname: Sun, Longfei organization: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences , China – sequence: 4 givenname: Zeyu surname: Ye fullname: Ye, Zeyu organization: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences , China – sequence: 5 givenname: Tongzhen surname: Wei fullname: Wei, Tongzhen organization: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences , China
BookMark	eNqNkcFu1DAQQC1UJNrCN2CJG1K6tpN17AOHsupCUSoqClytWWeyuEriXdsp6u_wpTgsKgIhgQ_2WH5vxpo5IUejH5GQ55ydcabUgteVKORSy4UQlVzwBeOCafaIHD-8HD3ESj0hJzHeMlbmVR-Tb9cQYMCEgV62OCbXOQvJ-ZH6jjYufXHTUMzX15AydE8v9pO7gz6jdOWCnVyiV77FPgMRW5rJxg0u5fAKB5-FD2inEN0d0gYhJnqznyBgpOf91odcYKBf804_Q3Cw6ZGufdhiSm7c0jXY5MNT8riDPuKzn-cp-bS--Lh6WzTv31yuzpvClkKxYiOsZVbqrsKq1mopO8FRgCrRqhZE12pQUJeabVCjbOtKlZXkQoDQjKHA8pS8OOTdBb-fMCZz66cw5pJGyErXS1YxmalXB8oGH2PAzliXfnQsBXC94czMYzFzw83cfDOPxXBzGEv26z_8XXADhPv_MMuD6fzu19f-bb38i_XuenXzO2h2bVd-B1klshc
CitedBy_id	crossref_primary_10_3390_en16052218 crossref_primary_10_1080_1448837X_2024_2337485 crossref_primary_10_1016_j_energy_2023_126773 crossref_primary_10_1016_j_est_2025_116298 crossref_primary_10_1002_wene_507 crossref_primary_10_1016_j_est_2025_116416
Cites_doi	10.1109/ACCESS.2017.2780258 10.1002/er.3954 10.1016/j.egypro.2019.01.974 10.1016/j.energy.2019.115880 10.3390/en11071810 10.1109/ACCESS.2019.2903625 10.1109/ACCESS.2019.2895377 10.1016/j.jpowsour.2019.226972 10.1016/j.energy.2012.01.009 10.1109/TVT.2018.2798662
ContentType	Journal Article
Copyright	Published under licence by IOP Publishing Ltd Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: Published under licence by IOP Publishing Ltd – notice: Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID	O3W TSCCA AAYXX CITATION 8FD 8FE 8FG ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO H8D HCIFZ L7M P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS
DOI	10.1088/1742-6596/2246/1/012090
DatabaseName	Institute of Physics Open Access Journal Titles IOPscience (Open Access) CrossRef Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials - QC ProQuest Central Technology Collection ProQuest One ProQuest Central Korea Aerospace Database SciTech Premium Collection Advanced Technologies Database with Aerospace Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China
DatabaseTitle	CrossRef Publicly Available Content Database Advanced Technologies & Aerospace Collection Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences Aerospace Database ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic Advanced Technologies Database with Aerospace ProQuest One Academic (New)
DatabaseTitleList	CrossRef Publicly Available Content Database
Database_xml	– sequence: 1 dbid: O3W name: Institute of Physics Open Access Journal Titles url: http://iopscience.iop.org/ sourceTypes: Enrichment Source Publisher – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Physics
EISSN	1742-6596
ExternalDocumentID	10_1088_1742_6596_2246_1_012090 JPCS_2246_1_012090
GroupedDBID	1JI 29L 2WC 4.4 5B3 5GY 5PX 5VS 7.Q AAJIO AAJKP ABHWH ACAFW ACHIP AEFHF AEJGL AFKRA AFYNE AIYBF AKPSB ALMA_UNASSIGNED_HOLDINGS ARAPS ASPBG ATQHT AVWKF AZFZN BENPR BGLVJ CCPQU CEBXE CJUJL CRLBU CS3 DU5 E3Z EBS EDWGO EQZZN F5P FRP GROUPED_DOAJ GX1 HCIFZ HH5 IJHAN IOP IZVLO J9A KNG KQ8 LAP N5L N9A O3W OK1 P2P PIMPY PJBAE RIN RNS RO9 ROL SY9 T37 TR2 TSCCA UCJ W28 XSB ~02 AAYXX AEINN AFFHD CITATION OVT PHGZM PHGZT PQGLB 8FD 8FE 8FG ABUWG AZQEC DWQXO H8D L7M P62 PKEHL PQEST PQQKQ PQUKI PRINS PUEGO
ID	FETCH-LOGICAL-c3280-b2cc0c69f4e479856f21e2a83ec8da2fd9a8a7390be9e6d748346122a2900e2e3
IEDL.DBID	P5Z
ISSN	1742-6588
IngestDate	Sun Sep 07 03:48:24 EDT 2025 Tue Nov 18 21:46:32 EST 2025 Sat Nov 29 05:40:32 EST 2025 Wed Aug 21 03:33:35 EDT 2024 Wed Apr 20 01:02:00 EDT 2022
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Language	English
License	Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c3280-b2cc0c69f4e479856f21e2a83ec8da2fd9a8a7390be9e6d748346122a2900e2e3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
OpenAccessLink	https://www.proquest.com/docview/2649750406?pq-origsite=%requestingapplication%
PQID	2649750406
PQPubID	4998668
PageCount	10
ParticipantIDs	proquest_journals_2649750406 crossref_citationtrail_10_1088_1742_6596_2246_1_012090 crossref_primary_10_1088_1742_6596_2246_1_012090 iop_journals_10_1088_1742_6596_2246_1_012090
PublicationCentury	2000
PublicationDate	20220401
PublicationDateYYYYMMDD	2022-04-01
PublicationDate_xml	– month: 04 year: 2022 text: 20220401 day: 01
PublicationDecade	2020
PublicationPlace	Bristol
PublicationPlace_xml	– name: Bristol
PublicationTitle	Journal of physics. Conference series
PublicationTitleAlternate	J. Phys.: Conf. Ser
PublicationYear	2022
Publisher	IOP Publishing
Publisher_xml	– name: IOP Publishing
References	Xie (JPCS_2246_1_012090bib7) 2018; 67 Wang (JPCS_2246_1_012090bib9) 2018; 42 Xiong (JPCS_2246_1_012090bib4) 2018; 6 Kou (JPCS_2246_1_012090bib16) 2018 Liu (JPCS_2246_1_012090bib2) 2020; 6 Wei (JPCS_2246_1_012090bib8) 2018; 11 Zhou (JPCS_2246_1_012090bib3) 2019; 441 Wang (JPCS_2246_1_012090bib6) 2019; 7 Cen (JPCS_2246_1_012090bib11) 2016 Xie (JPCS_2246_1_012090bib12) 2020 Fang (JPCS_2246_1_012090bib1) 2019; 158 Zhu (JPCS_2246_1_012090bib5) 2019; 187 Bhandarkar (JPCS_2246_1_012090bib13) 2021 Song (JPCS_2246_1_012090bib15) 2019; 7 Huang (JPCS_2246_1_012090bib10) 2020 He (JPCS_2246_1_012090bib14) 2012; 39
References_xml	– volume: 6 start-page: 1832 year: 2018 ident: JPCS_2246_1_012090bib4 article-title: Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2780258 – volume: 42 start-page: 1603 year: 2018 ident: JPCS_2246_1_012090bib9 article-title: Model-based unscented Kalman filter observer design for lithium-ion battery state of charge estimation publication-title: Int. J. Energy Res. doi: 10.1002/er.3954 – volume: 158 start-page: 3008 year: 2019 ident: JPCS_2246_1_012090bib1 article-title: Online Estimation and Error Analysis of both SOC and SOH of Lithium-ion Battery based on DEKF Method publication-title: Energy Procedia doi: 10.1016/j.egypro.2019.01.974 – volume: 187 year: 2019 ident: JPCS_2246_1_012090bib5 article-title: A state of charge estimation method for lithium-ion batteries based on fractional order adaptive extended Kalman filter publication-title: Energy doi: 10.1016/j.energy.2019.115880 – start-page: 164 year: 2020 ident: JPCS_2246_1_012090bib12 – volume: 11 start-page: 1810 year: 2018 ident: JPCS_2246_1_012090bib8 article-title: Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data-Model Fusion Method publication-title: Energies doi: 10.3390/en11071810 – volume: 6 start-page: 735 year: 2020 ident: JPCS_2246_1_012090bib2 article-title: Online identification of power battery parameters for electric vehicles using a decoupling multiple forgetting factors recursive least squares method publication-title: CSEE Journal of Power and Energy Systems – start-page: 936 year: 2016 ident: JPCS_2246_1_012090bib11 – start-page: 492 year: 2020 ident: JPCS_2246_1_012090bib10 – volume: 7 start-page: 61548 year: 2019 ident: JPCS_2246_1_012090bib15 article-title: A novel variable forgetting factor recursive least square algorithm to improve the anti-interference ability of battery model parameters identification publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2903625 – volume: 7 start-page: 29223 year: 2019 ident: JPCS_2246_1_012090bib6 article-title: State of Charge Estimation for Lithium-Ion Battery in Electric Vehicle Based on Kalman Filter Considering Model Error publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2895377 – start-page: 1 year: 2021 ident: JPCS_2246_1_012090bib13 – volume: 441 year: 2019 ident: JPCS_2246_1_012090bib3 article-title: A low-complexity state of charge estimation method for series-connected lithium-ion battery pack used in electric vehicles publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2019.226972 – volume: 39 start-page: 310 year: 2012 ident: JPCS_2246_1_012090bib14 article-title: Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles publication-title: Energy doi: 10.1016/j.energy.2012.01.009 – start-page: 1712 year: 2018 ident: JPCS_2246_1_012090bib16 – volume: 67 start-page: 5671 year: 2018 ident: JPCS_2246_1_012090bib7 article-title: Time-Efficient Stochastic Model Predictive Energy Management for a Plug-In Hybrid Electric Bus with an Adaptive Reference State-of-Charge Advisory publication-title: IEEE Transactions on Vehicular Technology doi: 10.1109/TVT.2018.2798662
SSID	ssj0033337
Score	2.387851
Snippet	Equivalent circuit method is the most widely used methodology in dynamic modeling of lithium-ion battery. An equivalent circuit with second-order RC network is...
SourceID	proquest crossref iop
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	12090
SubjectTerms	Algorithms Dynamic models Electric potential Equivalent circuits Least squares Lithium Lithium-ion batteries Parameter identification Physics Rechargeable batteries Voltage
SummonAdditionalLinks	– databaseName: Institute of Physics Open Access Journal Titles dbid: O3W link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3da9swEBddu8Feum-WrhsH2-O0KJIrS48lNIzRdmXdR9-ELMudIU3SJC703-lfujvZ2QhjlEH9ZMOdJXQn6XT63R1j74rcqypaz3OvBc-yYLkJPvJY5cqjUtPlVio2kR8fm7MzuxYLM511S_8HfG0TBbdD2AHiTB9taMn1ntV9SobWH_RT_Cce27eUwd0cdfqz-rFajRU-eRsUSUzGrDBe__7R2g51D3vx1zKd9p7Ro7vo9WO23VmesN9yPGEbcfKUPUgI0LB4xm5OPOG0cJihDd6tOm8eTCs4rJc_6-aC02ebkfMaDi6bGtUUSWFYz0NTL4EKq42RYBFLQMoueAqOCM17DV_ItU9oeTikgkFwetlQ8BPsj8-nc2zgAsgpDN_x9E7xXDBK3nqCZcMoVQV6zr6NDr4OP_KugAMPShrBCxmCCNpWWcxyi8Kp5CBKb1QMpvSyKq03PldWFNFGXebk2ESLS3pphYgyqhdsczKdxJcMNJqleLLck6HwmUa1E4UprQ5aW7RQYtFjeiU0F7rs5lRkY-zSLbsxjgTgSACOBOAGrhVAj4nfjLM2wcftLO9Ryq6b7Ivbyd-ukX86GZ6uU7hZWfXY7krJ_pCitWop_77QO__X5iv2UFKcRoIY7bLN5byJr9n9cLWsF_M3aYb8AoYOCYo priority: 102 providerName: IOP Publishing
Title	Parameter Identification of Lithium-ion Battery Equivalent Circuit Model Based on Limited Memory Recursive Least Squares Algorithm with Variable Forgetting Factor
URI	https://iopscience.iop.org/article/10.1088/1742-6596/2246/1/012090 https://www.proquest.com/docview/2649750406
Volume	2246
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIOP databaseName: Institute of Physics Open Access Journal Titles customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: O3W dateStart: 20040101 isFulltext: true titleUrlDefault: http://iopscience.iop.org/ providerName: IOP Publishing – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: P5Z dateStart: 20040801 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: BENPR dateStart: 20040801 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: PIMPY dateStart: 20040801 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwELfoBhIvfE8URmUJHrHqOqljP6FRtQK0lWjjY_BiOY7DInX9SoK0f4e_FJ_jMFVI7IG8xTlLVu58dz7f3Q-hV1mio8JKTRLNKYljI4kw2hJbJJF2Qg2XWx5sIpnPxfm5TEPArQpplZ1O9Io6XxmIkQ-d4ZbQipzyN-sNAdQouF0NEBo9tA9dEgC6IR1_7zRx5J6kLYhkxFla0eV3uUNfGJN8CB3VhqOhLyKlO9apV67Wf6lob3dm9_93xQ_QveBx4qNWRB6iW3b5CN3xmZ-meox-pRrys9zvxW3RbhGieHhV4OOyviibSwKvbSfOKzzdNKUTT0eKJ-XWNGWNAVBt4Qgqm2NHGYqm8Alk8V7hUwjpQ5Y8PgagIHy2aaDoCR8tfrjl1heXGILB-Is7tUMdF575KD2kY-OZRwN6gj7Ppp8m70gAbiAmYoKSjBlDDZdFbONEijEv2MgyLSJrRK5ZkUstdBJJmllpeZ5AQNN5WkwzSallNjpAe8vV0j5FmDt31J0ox8xkOuZO3GgmcskN59J5JjbrI94xTJnQ1RzANRbK364LoYDTCjitgNNqpFpO9xH9M3HdNva4ecprJxEqbPLqZvKXO-Qf0snZLoVa50UfHXbSc016LTrP_v35ObrLoB7DpxIdor1629gX6Lb5WZfVdoD2307n6ekA9T5GXwd-b7ix9P1J-u03Z4IQvA
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLa2DgQv3BGFAZaAN6y6TubYDwhNZdXK2ipiA21PwXEcFqnrNQH17_AD-I2ckwtThcSe9kDekhznwfnOxedKyOs4MF7qtGGBkZz5vtVMWeOYSwPPAKgxuFUOmwjGY3V6qsMt8quphcG0ykYmloI6mVn0kXdAcWtsRc7l-_mC4dQojK42IzQqWBy59Q84sq3eDT7A_30jRP_gpHfI6qkCzHpCcRYLa7mVOvWdH2i1J1PRdcIoz1mVGJEm2igTeJrHTjuZBOhtAzNAGKE5d8J58N1tsuMj2FtkJxyMwrNG9ntwBVUJpmCg21WTUQbHzPqZlh3s4dbpdsqyVb6hD7ez2fwvpVBquv7d_22P7pE7tU1N9ysmuE-23PQBuVnmttrVQ_IzNJiBBgCiVVlyWvsp6Sylwyw_z4oLhrdVr9E1PVgUGTAgkNJetrRFllMcGTcBgpVLKFDWZWF0hHnKa_oJgxZYB0CHOAqJHi8KLOui-5NvsD35-QVFdzf9YoDb44mj_TIOgQnntF_OO3pEPl_LBj0mrels6p4QKsHghjPznrCx8SUwFI9VoqWVUoPt5eI2kQ1AIlv3bcfxIZOozB9QKkJkRYisCJEVdaMKWW3C_yycV61Lrl7yFhAY1WJsdTX5qw3yj2HveJMimidpm-w2aL0kvYTq03-_fkluHZ6MhtFwMD56Rm4LrD4pE6d2SStfFu45uWG_59lq-aLmRUq-Xje0fwNNA2nb
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwED9t40O88DlEYYAleCTEdVLHfpzKIj5KqRgfe7Mcx4FIXdu1DdL-Hf5S7px0qEJoQiJPiXQXW76zfT7f7w7geZHZpPLaRpmVPEpTpyPlrI98lSUWlZout0KxiWw8VicnerID-QUWZr7olv6X-NomCm6HsAuIUzHa0CKSAy1jSoYW9-OA_-Txoqx24QqlKyHt_pB83azICT5ZC4wkRqU2cV5__9nWLrWLPfljqQ77T37rf_X8NtzsLFB22HLdgR0_uwvXQiSoW92DnxNL8Vo43KwF8VadV4_NKzaq19_r5jSizzYz5zk7OmtqVFckZcN66Zp6zajA2hQJVr5kSNmBqNh7iuo9Zx_JxU9R82xEhYPY8VlDICh2OP02X2IDp4ycw-wLnuIJ18Xy4LWn8GyWh-pA-_A5P_o0fB11hRwilwjFo0I4x53UVerTTKuBrETfC6sS71RpRVVqq2yWaF547WWZkYMTLS9hhebcC5_ch73ZfOYfAJNonuIJcyBcYVOJ6scLVWrppNRoqfiiB3IjOOO6LOdUbGNqwm27UoaEYEgIhoRg-qYVQg_4BeOiTfRxOcsLlLTpJv3qcvJnW-RvJ8PjbQqDitCDg42i_SZFq1VTHn4uH_5bm0_h-uRVbkZvxu8ewQ1B0I0QdXQAe-tl4x_DVfdjXa-WT8KE-QXrRQ7y
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=Parameter+Identification+of+Lithium-ion+Battery+Equivalent+Circuit+Model+Based+on+Limited+Memory+Recursive+Least+Squares+Algorithm+with+Variable+Forgetting+Factor&rft.jtitle=Journal+of+physics.+Conference+series&rft.au=Peng%2C+Xianghua&rft.au=Yin%2C+Jingyuan&rft.au=Sun%2C+Longfei&rft.au=Ye%2C+Zeyu&rft.date=2022-04-01&rft.pub=IOP+Publishing&rft.issn=1742-6588&rft.eissn=1742-6596&rft.volume=2246&rft.issue=1&rft.spage=012090&rft_id=info:doi/10.1088%2F1742-6596%2F2246%2F1%2F012090
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-6588&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-6588&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-6588&client=summon