Reducing Cell to Cell Variation of Lithium-Ion Battery Packs During Operation
In this work, an experimental approach to reduce the variation from cell to cell during battery operation is evaluated to reach a better battery utilization. Numerous theoretical considerations of intelligent battery management systems without long-term experimental validation of their capabilities...
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Veröffentlicht in: | IEEE access 2021, Vol.9, p.24994-25001 |
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description | In this work, an experimental approach to reduce the variation from cell to cell during battery operation is evaluated to reach a better battery utilization. Numerous theoretical considerations of intelligent battery management systems without long-term experimental validation of their capabilities lead to a gap in the literature, which this work aims to address. For this purpose, the ageing behaviour of two batteries is investigated for almost 1.5 years. One battery is connected to an active balancing battery management system (BMS) and the other to a conventional passive balancing BMS. Important battery parameters, such as capacity and internal resistance, are recorded in each cycle. The battery behaviour is evaluated in detail by observing the voltage difference of the individual cells at the end of discharge and by calculating the amount of charge balanced by the BMS. Significant differences between the BMS systems used are elucidated, which illustrate the advantages of active balancing. In contrast to passive balancing, active balancing can reduce the ageing rate of the battery and achieve better utilization with a more than five times lower voltage spread at end of discharge, a up to 3.1% higher discharge capacity and a 7.7% longer service life. |
doi_str_mv | 10.1109/ACCESS.2021.3057125 |
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Numerous theoretical considerations of intelligent battery management systems without long-term experimental validation of their capabilities lead to a gap in the literature, which this work aims to address. For this purpose, the ageing behaviour of two batteries is investigated for almost 1.5 years. One battery is connected to an active balancing battery management system (BMS) and the other to a conventional passive balancing BMS. Important battery parameters, such as capacity and internal resistance, are recorded in each cycle. The battery behaviour is evaluated in detail by observing the voltage difference of the individual cells at the end of discharge and by calculating the amount of charge balanced by the BMS. Significant differences between the BMS systems used are elucidated, which illustrate the advantages of active balancing. In contrast to passive balancing, active balancing can reduce the ageing rate of the battery and achieve better utilization with a more than five times lower voltage spread at end of discharge, a up to 3.1% higher discharge capacity and a 7.7% longer service life.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2021.3057125</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>active balancing ; Ageing ; Aging ; Balancing ; Batteries ; Battery cycles ; battery management ; cell variation ; Discharge ; Discharges (electric) ; Electric potential ; Lithium ; lithium-ion ; Lithium-ion batteries ; Management systems ; Mathematical analysis ; passive balancing ; Power management ; Rechargeable batteries ; Resistance ; Service life ; State of charge ; Voltage ; Voltage measurement</subject><ispartof>IEEE access, 2021, Vol.9, p.24994-25001</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c478t-1597ce9d064c10d5d0bd60a5100e78100ea7641a105dbe6913a0f81be3b7fc973</citedby><cites>FETCH-LOGICAL-c478t-1597ce9d064c10d5d0bd60a5100e78100ea7641a105dbe6913a0f81be3b7fc973</cites><orcidid>0000-0002-8661-928X ; 0000-0003-3983-0514 ; 0000-0002-6596-8333</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9347461$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,861,2096,4010,27614,27904,27905,27906,54914</link.rule.ids></links><search><creatorcontrib>Ziegler, Andreas</creatorcontrib><creatorcontrib>Oeser, David</creatorcontrib><creatorcontrib>Hein, Thiemo</creatorcontrib><creatorcontrib>Montesinos-Miracle, Daniel</creatorcontrib><creatorcontrib>Ackva, Ansgar</creatorcontrib><title>Reducing Cell to Cell Variation of Lithium-Ion Battery Packs During Operation</title><title>IEEE access</title><addtitle>Access</addtitle><description>In this work, an experimental approach to reduce the variation from cell to cell during battery operation is evaluated to reach a better battery utilization. Numerous theoretical considerations of intelligent battery management systems without long-term experimental validation of their capabilities lead to a gap in the literature, which this work aims to address. For this purpose, the ageing behaviour of two batteries is investigated for almost 1.5 years. One battery is connected to an active balancing battery management system (BMS) and the other to a conventional passive balancing BMS. Important battery parameters, such as capacity and internal resistance, are recorded in each cycle. The battery behaviour is evaluated in detail by observing the voltage difference of the individual cells at the end of discharge and by calculating the amount of charge balanced by the BMS. Significant differences between the BMS systems used are elucidated, which illustrate the advantages of active balancing. In contrast to passive balancing, active balancing can reduce the ageing rate of the battery and achieve better utilization with a more than five times lower voltage spread at end of discharge, a up to 3.1% higher discharge capacity and a 7.7% longer service life.</description><subject>active balancing</subject><subject>Ageing</subject><subject>Aging</subject><subject>Balancing</subject><subject>Batteries</subject><subject>Battery cycles</subject><subject>battery management</subject><subject>cell variation</subject><subject>Discharge</subject><subject>Discharges (electric)</subject><subject>Electric potential</subject><subject>Lithium</subject><subject>lithium-ion</subject><subject>Lithium-ion batteries</subject><subject>Management systems</subject><subject>Mathematical analysis</subject><subject>passive balancing</subject><subject>Power management</subject><subject>Rechargeable batteries</subject><subject>Resistance</subject><subject>Service life</subject><subject>State of charge</subject><subject>Voltage</subject><subject>Voltage measurement</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUdFOwjAUXYwmEuQLeFni87C3Xdf1EScqCQYj6mvTtR0WgWK3PfD3dowY-9B7e3POuSc9UTQGNAFA_G5aFLPVaoIRhglBlAGmF9EAQ8YTQkl2-a-_jkZ1vUHh5GFE2SB6eTO6VXa_jguz3caN6-un9FY21u1jV8UL23zZdpfMw_NeNo3xx_hVqu86fmh9R10ejD-hb6KrSm5rMzrXYfTxOHsvnpPF8mleTBeJSlneJEA5U4ZrlKUKkKYalTpDkgJChuXdLVmWggREdWkyDkSiKofSkJJVijMyjOa9rnZyIw7e7qQ_CietOA2cXwvpG6u2RiiCgWYkzXOsUllpqTWoEssy_BQiXAWt217r4N1Pa-pGbFzr98G-wGnOEQ-WcUCRHqW8q2tvqr-tgEQXg-hjEF0M4hxDYI17ljXG_DE4SVmaAfkFGduBtQ</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Ziegler, Andreas</creator><creator>Oeser, David</creator><creator>Hein, Thiemo</creator><creator>Montesinos-Miracle, Daniel</creator><creator>Ackva, Ansgar</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Numerous theoretical considerations of intelligent battery management systems without long-term experimental validation of their capabilities lead to a gap in the literature, which this work aims to address. For this purpose, the ageing behaviour of two batteries is investigated for almost 1.5 years. One battery is connected to an active balancing battery management system (BMS) and the other to a conventional passive balancing BMS. Important battery parameters, such as capacity and internal resistance, are recorded in each cycle. The battery behaviour is evaluated in detail by observing the voltage difference of the individual cells at the end of discharge and by calculating the amount of charge balanced by the BMS. Significant differences between the BMS systems used are elucidated, which illustrate the advantages of active balancing. 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subjects | active balancing Ageing Aging Balancing Batteries Battery cycles battery management cell variation Discharge Discharges (electric) Electric potential Lithium lithium-ion Lithium-ion batteries Management systems Mathematical analysis passive balancing Power management Rechargeable batteries Resistance Service life State of charge Voltage Voltage measurement |
title | Reducing Cell to Cell Variation of Lithium-Ion Battery Packs During Operation |
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