Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants
The development of lifetime estimation models for Lithium-ion battery cells, which are working under highly variable mission profiles characteristic for wind power plant applications, requires a lot of expenditures and time resources. Therefore, batteries have to be tested under accelerated lifetime...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on industry applications 2014-11, Vol.50 (6), p.4006-4017 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4017 |
---|---|
container_issue | 6 |
container_start_page | 4006 |
container_title | IEEE transactions on industry applications |
container_volume | 50 |
creator | Stroe, Daniel-Ioan Swierczynski, Maciej Stan, Ana-Irina Teodorescu, Remus Andreasen, Soren Juhl |
description | The development of lifetime estimation models for Lithium-ion battery cells, which are working under highly variable mission profiles characteristic for wind power plant applications, requires a lot of expenditures and time resources. Therefore, batteries have to be tested under accelerated lifetime aging conditions. This paper presents a three-stage methodology used for accelerated lifetime testing of Lithium-ion batteries. The results obtained at the end of the accelerated aging process were used for the parameterization of a performance-degradation lifetime model, which is able to predict both the capacity fade and the power capability decrease of the selected Lithium-ion battery cells. In the proposed methodology both calendar and cycling lifetime tests were considered since both components are influencing the lifetime of Lithium-ion batteries. Furthermore, the proposed methodology was validated by running a verification stage of the lifetime model, where Lithium-ion battery cells were tested at normal operating conditions using an application specific mission profile. |
doi_str_mv | 10.1109/TIA.2014.2321028 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_6807801</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6807801</ieee_id><sourcerecordid>1651392392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c366t-e79460f3f40cadbf4e374f2debcbf0c7ba0dfb116371f4beb58c27a08418a6dc3</originalsourceid><addsrcrecordid>eNpdkUFLAzEQhYMoWKt3wUvAi5etySbdbI61VC1U7KHicclmJzXS3WiSRXrwv5vSoiAEQibfPN7MQ-iSkhGlRN6u5pNRTigf5SynJC-P0IBKJjPJCnGMBoRIlkkp-Sk6C-GdJHJM-QB9T7SGDXgVocELayDaFvAKQrTdGj9BfHON27j1Fhvn_4BZ-m9VtK7DzqRyfLN9m83T807FCN5CwC8hSdoOT_p1C91O_9V2DV66L_B4uVFdDOfoxKhNgIvDPUQv97PV9DFbPD_Mp5NFpllRxAyE5AUxzHCiVVMbDkxwkzdQ69oQLWpFGlNTWjBBDa-hHpc6F4qUnJaqaDQbopu97od3n30armptSHMnE-D6UNFiTJnMd2eIrv-h7673XXKXqFyMy5JRkSiyp7R3IXgw1YdPC_HbipJql0eV8qh2eVSHPFLL1b7FAsAvXpRElISyH232iCI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1627588317</pqid></control><display><type>article</type><title>Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants</title><source>IEEE Electronic Library (IEL)</source><creator>Stroe, Daniel-Ioan ; Swierczynski, Maciej ; Stan, Ana-Irina ; Teodorescu, Remus ; Andreasen, Soren Juhl</creator><creatorcontrib>Stroe, Daniel-Ioan ; Swierczynski, Maciej ; Stan, Ana-Irina ; Teodorescu, Remus ; Andreasen, Soren Juhl</creatorcontrib><description>The development of lifetime estimation models for Lithium-ion battery cells, which are working under highly variable mission profiles characteristic for wind power plant applications, requires a lot of expenditures and time resources. Therefore, batteries have to be tested under accelerated lifetime aging conditions. This paper presents a three-stage methodology used for accelerated lifetime testing of Lithium-ion batteries. The results obtained at the end of the accelerated aging process were used for the parameterization of a performance-degradation lifetime model, which is able to predict both the capacity fade and the power capability decrease of the selected Lithium-ion battery cells. In the proposed methodology both calendar and cycling lifetime tests were considered since both components are influencing the lifetime of Lithium-ion batteries. Furthermore, the proposed methodology was validated by running a verification stage of the lifetime model, where Lithium-ion battery cells were tested at normal operating conditions using an application specific mission profile.</description><identifier>ISSN: 0093-9994</identifier><identifier>EISSN: 1939-9367</identifier><identifier>DOI: 10.1109/TIA.2014.2321028</identifier><identifier>CODEN: ITIACR</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accelerated tests ; Aging ; Batteries ; Computational modeling ; Integrated circuit modeling ; Life estimation ; Lifetime estimation ; Lithium ; Lithium-ion batteries ; Mathematical models ; Methodology ; Missions ; Parametrization ; Power plants ; Stress ; Wind power</subject><ispartof>IEEE transactions on industry applications, 2014-11, Vol.50 (6), p.4006-4017</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-e79460f3f40cadbf4e374f2debcbf0c7ba0dfb116371f4beb58c27a08418a6dc3</citedby><cites>FETCH-LOGICAL-c366t-e79460f3f40cadbf4e374f2debcbf0c7ba0dfb116371f4beb58c27a08418a6dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6807801$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6807801$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Stroe, Daniel-Ioan</creatorcontrib><creatorcontrib>Swierczynski, Maciej</creatorcontrib><creatorcontrib>Stan, Ana-Irina</creatorcontrib><creatorcontrib>Teodorescu, Remus</creatorcontrib><creatorcontrib>Andreasen, Soren Juhl</creatorcontrib><title>Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants</title><title>IEEE transactions on industry applications</title><addtitle>TIA</addtitle><description>The development of lifetime estimation models for Lithium-ion battery cells, which are working under highly variable mission profiles characteristic for wind power plant applications, requires a lot of expenditures and time resources. Therefore, batteries have to be tested under accelerated lifetime aging conditions. This paper presents a three-stage methodology used for accelerated lifetime testing of Lithium-ion batteries. The results obtained at the end of the accelerated aging process were used for the parameterization of a performance-degradation lifetime model, which is able to predict both the capacity fade and the power capability decrease of the selected Lithium-ion battery cells. In the proposed methodology both calendar and cycling lifetime tests were considered since both components are influencing the lifetime of Lithium-ion batteries. Furthermore, the proposed methodology was validated by running a verification stage of the lifetime model, where Lithium-ion battery cells were tested at normal operating conditions using an application specific mission profile.</description><subject>Accelerated tests</subject><subject>Aging</subject><subject>Batteries</subject><subject>Computational modeling</subject><subject>Integrated circuit modeling</subject><subject>Life estimation</subject><subject>Lifetime estimation</subject><subject>Lithium</subject><subject>Lithium-ion batteries</subject><subject>Mathematical models</subject><subject>Methodology</subject><subject>Missions</subject><subject>Parametrization</subject><subject>Power plants</subject><subject>Stress</subject><subject>Wind power</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkUFLAzEQhYMoWKt3wUvAi5etySbdbI61VC1U7KHicclmJzXS3WiSRXrwv5vSoiAEQibfPN7MQ-iSkhGlRN6u5pNRTigf5SynJC-P0IBKJjPJCnGMBoRIlkkp-Sk6C-GdJHJM-QB9T7SGDXgVocELayDaFvAKQrTdGj9BfHON27j1Fhvn_4BZ-m9VtK7DzqRyfLN9m83T807FCN5CwC8hSdoOT_p1C91O_9V2DV66L_B4uVFdDOfoxKhNgIvDPUQv97PV9DFbPD_Mp5NFpllRxAyE5AUxzHCiVVMbDkxwkzdQ69oQLWpFGlNTWjBBDa-hHpc6F4qUnJaqaDQbopu97od3n30armptSHMnE-D6UNFiTJnMd2eIrv-h7673XXKXqFyMy5JRkSiyp7R3IXgw1YdPC_HbipJql0eV8qh2eVSHPFLL1b7FAsAvXpRElISyH232iCI</recordid><startdate>201411</startdate><enddate>201411</enddate><creator>Stroe, Daniel-Ioan</creator><creator>Swierczynski, Maciej</creator><creator>Stan, Ana-Irina</creator><creator>Teodorescu, Remus</creator><creator>Andreasen, Soren Juhl</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7SU</scope><scope>7TB</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201411</creationdate><title>Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants</title><author>Stroe, Daniel-Ioan ; Swierczynski, Maciej ; Stan, Ana-Irina ; Teodorescu, Remus ; Andreasen, Soren Juhl</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-e79460f3f40cadbf4e374f2debcbf0c7ba0dfb116371f4beb58c27a08418a6dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accelerated tests</topic><topic>Aging</topic><topic>Batteries</topic><topic>Computational modeling</topic><topic>Integrated circuit modeling</topic><topic>Life estimation</topic><topic>Lifetime estimation</topic><topic>Lithium</topic><topic>Lithium-ion batteries</topic><topic>Mathematical models</topic><topic>Methodology</topic><topic>Missions</topic><topic>Parametrization</topic><topic>Power plants</topic><topic>Stress</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stroe, Daniel-Ioan</creatorcontrib><creatorcontrib>Swierczynski, Maciej</creatorcontrib><creatorcontrib>Stan, Ana-Irina</creatorcontrib><creatorcontrib>Teodorescu, Remus</creatorcontrib><creatorcontrib>Andreasen, Soren Juhl</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stroe, Daniel-Ioan</au><au>Swierczynski, Maciej</au><au>Stan, Ana-Irina</au><au>Teodorescu, Remus</au><au>Andreasen, Soren Juhl</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>2014-11</date><risdate>2014</risdate><volume>50</volume><issue>6</issue><spage>4006</spage><epage>4017</epage><pages>4006-4017</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>The development of lifetime estimation models for Lithium-ion battery cells, which are working under highly variable mission profiles characteristic for wind power plant applications, requires a lot of expenditures and time resources. Therefore, batteries have to be tested under accelerated lifetime aging conditions. This paper presents a three-stage methodology used for accelerated lifetime testing of Lithium-ion batteries. The results obtained at the end of the accelerated aging process were used for the parameterization of a performance-degradation lifetime model, which is able to predict both the capacity fade and the power capability decrease of the selected Lithium-ion battery cells. In the proposed methodology both calendar and cycling lifetime tests were considered since both components are influencing the lifetime of Lithium-ion batteries. Furthermore, the proposed methodology was validated by running a verification stage of the lifetime model, where Lithium-ion battery cells were tested at normal operating conditions using an application specific mission profile.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIA.2014.2321028</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0093-9994 |
ispartof | IEEE transactions on industry applications, 2014-11, Vol.50 (6), p.4006-4017 |
issn | 0093-9994 1939-9367 |
language | eng |
recordid | cdi_ieee_primary_6807801 |
source | IEEE Electronic Library (IEL) |
subjects | Accelerated tests Aging Batteries Computational modeling Integrated circuit modeling Life estimation Lifetime estimation Lithium Lithium-ion batteries Mathematical models Methodology Missions Parametrization Power plants Stress Wind power |
title | Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T18%3A28%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accelerated%20Lifetime%20Testing%20Methodology%20for%20Lifetime%20Estimation%20of%20Lithium-Ion%20Batteries%20Used%20in%20Augmented%20Wind%20Power%20Plants&rft.jtitle=IEEE%20transactions%20on%20industry%20applications&rft.au=Stroe,%20Daniel-Ioan&rft.date=2014-11&rft.volume=50&rft.issue=6&rft.spage=4006&rft.epage=4017&rft.pages=4006-4017&rft.issn=0093-9994&rft.eissn=1939-9367&rft.coden=ITIACR&rft_id=info:doi/10.1109/TIA.2014.2321028&rft_dat=%3Cproquest_RIE%3E1651392392%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1627588317&rft_id=info:pmid/&rft_ieee_id=6807801&rfr_iscdi=true |