Effective selection switching of battery state of charge equalization based on fuzzy logic algorithm
State of Charge (SOC) equalization is an essential function in the battery management system (BMS), especially for a large number of series-connected battery packs. Unbalance SOC distribution in the battery pack may lead to a residual capacity reduction or even dangerous events caused by the weakest...
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description | State of Charge (SOC) equalization is an essential function in the battery management system (BMS), especially for a large number of series-connected battery packs. Unbalance SOC distribution in the battery pack may lead to a residual capacity reduction or even dangerous events caused by the weakest cells in a series-connected battery pack. In this work, a new proposed fuzzy-based algorithm is presented as an alternative solution to achieve effective energy transfer for direct pack-to-cell of 15 series-connected Lithium pack to be used on-grid application. The work uses simulation approaches with real-world parameters for system models. The proposed fuzzy-logic-based algorithm (FBA) has been designed and compared to the conventional voltage-based algorithm (VBA) and conventional SOC-based algorithm (SBA). The FBA is capable to improves the effectiveness, speed, and efficiency compared to VBA and SBA. Among those three performances, the switching effectiveness of selective equalization is significantly advanced by the FBA. |
doi_str_mv | 10.1063/5.0122390 |
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Unbalance SOC distribution in the battery pack may lead to a residual capacity reduction or even dangerous events caused by the weakest cells in a series-connected battery pack. In this work, a new proposed fuzzy-based algorithm is presented as an alternative solution to achieve effective energy transfer for direct pack-to-cell of 15 series-connected Lithium pack to be used on-grid application. The work uses simulation approaches with real-world parameters for system models. The proposed fuzzy-logic-based algorithm (FBA) has been designed and compared to the conventional voltage-based algorithm (VBA) and conventional SOC-based algorithm (SBA). The FBA is capable to improves the effectiveness, speed, and efficiency compared to VBA and SBA. Among those three performances, the switching effectiveness of selective equalization is significantly advanced by the FBA.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0122390</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Algorithms ; Batteries ; Effectiveness ; Electric charge ; Energy transfer ; Equalization ; Fuzzy logic ; Lithium ; State of charge ; Switching</subject><ispartof>AIP conference proceedings, 2023, Vol.2580 (1)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). 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Unbalance SOC distribution in the battery pack may lead to a residual capacity reduction or even dangerous events caused by the weakest cells in a series-connected battery pack. In this work, a new proposed fuzzy-based algorithm is presented as an alternative solution to achieve effective energy transfer for direct pack-to-cell of 15 series-connected Lithium pack to be used on-grid application. The work uses simulation approaches with real-world parameters for system models. The proposed fuzzy-logic-based algorithm (FBA) has been designed and compared to the conventional voltage-based algorithm (VBA) and conventional SOC-based algorithm (SBA). The FBA is capable to improves the effectiveness, speed, and efficiency compared to VBA and SBA. Among those three performances, the switching effectiveness of selective equalization is significantly advanced by the FBA.</description><subject>Algorithms</subject><subject>Batteries</subject><subject>Effectiveness</subject><subject>Electric charge</subject><subject>Energy transfer</subject><subject>Equalization</subject><subject>Fuzzy logic</subject><subject>Lithium</subject><subject>State of charge</subject><subject>Switching</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kEtrwzAQhEVpoWnaQ_-BoLeCUz0s2zqWkD4g0EsLvYm1LDkKTuxIckry6-s8oLeedli-2R0GoXtKJpRk_ElMCGWMS3KBRlQImuQZzS7RiBCZJizl39foJoQlIUzmeTFC1cxao6PbGhxMc1DtGocfF_XCrWvcWlxCjMbvcIgQzWGhF-Brg82mh8bt4egoIZgKD8L2-_0ON23tNIambr2Li9UturLQBHN3nmP09TL7nL4l84_X9-nzPOloVsSEaWIocFMBVLKsZMZpyihIItIiTUuSQymtYJIRJmRpQDIroCh1PviI1oKP0cPpbufbTW9CVMu29-vhpWIFzSnlMisG6vFEBe3iMb7qvFuB3ylK1KFFJdS5xf_gbev_QNVVlv8CNnt0cQ</recordid><startdate>20230522</startdate><enddate>20230522</enddate><creator>Wijaya, Trendy Prima</creator><creator>Widayaksa, Adhita Reztin</creator><creator>Haq, Irsyad Nashirul</creator><creator>Pradipta, Justin</creator><creator>Leksono, Edi</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20230522</creationdate><title>Effective selection switching of battery state of charge equalization based on fuzzy logic algorithm</title><author>Wijaya, Trendy Prima ; Widayaksa, Adhita Reztin ; Haq, Irsyad Nashirul ; Pradipta, Justin ; Leksono, Edi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p168t-2c0e1a3edaad9bd9631421a9054844b07ab9f52920259bea92f5a8bc7c0e0cc53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Batteries</topic><topic>Effectiveness</topic><topic>Electric charge</topic><topic>Energy transfer</topic><topic>Equalization</topic><topic>Fuzzy logic</topic><topic>Lithium</topic><topic>State of charge</topic><topic>Switching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wijaya, Trendy Prima</creatorcontrib><creatorcontrib>Widayaksa, Adhita Reztin</creatorcontrib><creatorcontrib>Haq, Irsyad Nashirul</creatorcontrib><creatorcontrib>Pradipta, Justin</creatorcontrib><creatorcontrib>Leksono, Edi</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wijaya, Trendy Prima</au><au>Widayaksa, Adhita Reztin</au><au>Haq, Irsyad Nashirul</au><au>Pradipta, Justin</au><au>Leksono, Edi</au><au>Moradi-Dastjerdi, Rasool</au><au>Saha, Geetali</au><au>Pinasti, Sita Gandes</au><au>Insyani, Rizki</au><au>Tenggara, Ayodya Pradhipta</au><au>Siddiq, Nur Abdillah</au><au>Kurnia, Jundika Candra</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Effective selection switching of battery state of charge equalization based on fuzzy logic algorithm</atitle><btitle>AIP conference proceedings</btitle><date>2023-05-22</date><risdate>2023</risdate><volume>2580</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>State of Charge (SOC) equalization is an essential function in the battery management system (BMS), especially for a large number of series-connected battery packs. Unbalance SOC distribution in the battery pack may lead to a residual capacity reduction or even dangerous events caused by the weakest cells in a series-connected battery pack. In this work, a new proposed fuzzy-based algorithm is presented as an alternative solution to achieve effective energy transfer for direct pack-to-cell of 15 series-connected Lithium pack to be used on-grid application. The work uses simulation approaches with real-world parameters for system models. The proposed fuzzy-logic-based algorithm (FBA) has been designed and compared to the conventional voltage-based algorithm (VBA) and conventional SOC-based algorithm (SBA). The FBA is capable to improves the effectiveness, speed, and efficiency compared to VBA and SBA. Among those three performances, the switching effectiveness of selective equalization is significantly advanced by the FBA.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0122390</doi><tpages>8</tpages></addata></record> |
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subjects | Algorithms Batteries Effectiveness Electric charge Energy transfer Equalization Fuzzy logic Lithium State of charge Switching |
title | Effective selection switching of battery state of charge equalization based on fuzzy logic algorithm |
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