Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device
This paper presents the implementation of adaptive sliding mode estimation (ASME) of the state of charge of a battery on a field programmable gate array (FPGA). The study is conducted in two steps: in the first step, we design an adaptive sliding mode observer by taking into account an electrical eq...
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| Veröffentlicht in: | Energy Storage Materials 2022-04, Vol.4 (2), p.n/a |
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| creator | Belhani, Ahmed Lamamra, Kheireddine M'Sirdi, Nacer K. |
| description | This paper presents the implementation of adaptive sliding mode estimation (ASME) of the state of charge of a battery on a field programmable gate array (FPGA). The study is conducted in two steps: in the first step, we design an adaptive sliding mode observer by taking into account an electrical equivalent circuit describing the battery's behavior and identify the parameters of this equivalent circuit by using the recursive least squares estimation method. In the second step, we study the implementation of this ASME on an FPGA card. |
| doi_str_mv | 10.1002/est2.291 |
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The study is conducted in two steps: in the first step, we design an adaptive sliding mode observer by taking into account an electrical equivalent circuit describing the battery's behavior and identify the parameters of this equivalent circuit by using the recursive least squares estimation method. In the second step, we study the implementation of this ASME on an FPGA card.</description><identifier>ISSN: 2578-4862</identifier><identifier>ISSN: 2405-8297</identifier><identifier>EISSN: 2578-4862</identifier><identifier>DOI: 10.1002/est2.291</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>adaptive sliding mode ; battery charge models ; Engineering Sciences ; Equivalent circuits ; Field programmable gate arrays ; finite time estimation ; FPGA ; nonlinear dynamics ; Parameter identification ; SOC estimation ; State of charge</subject><ispartof>Energy Storage Materials, 2022-04, Vol.4 (2), p.n/a</ispartof><rights>2021 John Wiley & Sons Ltd.</rights><rights>2022 John Wiley & Sons Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2181-a813544ddbe1ec81a9deb448f5b63f3c37172e30c26dd8c2aafc7c4363d4f3253</cites><orcidid>0000-0002-9485-6429 ; 0000-0001-5595-9604</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fest2.291$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fest2.291$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03606612$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Belhani, Ahmed</creatorcontrib><creatorcontrib>Lamamra, Kheireddine</creatorcontrib><creatorcontrib>M'Sirdi, Nacer K.</creatorcontrib><title>Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device</title><title>Energy Storage Materials</title><description>This paper presents the implementation of adaptive sliding mode estimation (ASME) of the state of charge of a battery on a field programmable gate array (FPGA). 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In the second step, we study the implementation of this ASME on an FPGA card.</description><subject>adaptive sliding mode</subject><subject>battery charge models</subject><subject>Engineering Sciences</subject><subject>Equivalent circuits</subject><subject>Field programmable gate arrays</subject><subject>finite time estimation</subject><subject>FPGA</subject><subject>nonlinear dynamics</subject><subject>Parameter identification</subject><subject>SOC estimation</subject><subject>State of charge</subject><issn>2578-4862</issn><issn>2405-8297</issn><issn>2578-4862</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp10c1KAzEQB_BFFCy14CMEvOhh6-Zjs9tjKdUKBQ-t4C1Mk9k2Zb_MbqsFDz6Cz-iTmKUiXjxlCL8MmfkHwSWNhjSK2C02LRuyET0JeixO0lCkkp3-qc-DQdNsI0-pGEkW94L3sYG6tXskTW6NLdekqAwS38gW0NqqJFVGmhZa7Aq9AbdGYos6xwLLFg3xAkhmMTekdtXaQVHAKkey7p6Ac3AgixpcC-XXx6ckzza35RsxuLcaL4KzDPIGBz9nP3i6my4ns3D-eP8wGc9DzWhKQ0gpj4UwZoUUdUphZHAlRJrFK8kzrnlCE4Y80kwak2oGkOlECy65ERlnMe8HN8e-G8hV7fxk7qAqsGo2nqvuLuIykpKyPfX26mj9NC87vwe1rXau9N9TTIok5jxOhFfXR6Vd1TQOs9-2NFJdFKqLQvkoPA2P9NXmePjXqeliyTr_DRCCi3A</recordid><startdate>202204</startdate><enddate>202204</enddate><creator>Belhani, Ahmed</creator><creator>Lamamra, Kheireddine</creator><creator>M'Sirdi, Nacer K.</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-9485-6429</orcidid><orcidid>https://orcid.org/0000-0001-5595-9604</orcidid></search><sort><creationdate>202204</creationdate><title>Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device</title><author>Belhani, Ahmed ; Lamamra, Kheireddine ; M'Sirdi, Nacer K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2181-a813544ddbe1ec81a9deb448f5b63f3c37172e30c26dd8c2aafc7c4363d4f3253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>adaptive sliding mode</topic><topic>battery charge models</topic><topic>Engineering Sciences</topic><topic>Equivalent circuits</topic><topic>Field programmable gate arrays</topic><topic>finite time estimation</topic><topic>FPGA</topic><topic>nonlinear dynamics</topic><topic>Parameter identification</topic><topic>SOC estimation</topic><topic>State of charge</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belhani, Ahmed</creatorcontrib><creatorcontrib>Lamamra, Kheireddine</creatorcontrib><creatorcontrib>M'Sirdi, Nacer K.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Energy Storage Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belhani, Ahmed</au><au>Lamamra, Kheireddine</au><au>M'Sirdi, Nacer K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device</atitle><jtitle>Energy Storage Materials</jtitle><date>2022-04</date><risdate>2022</risdate><volume>4</volume><issue>2</issue><epage>n/a</epage><issn>2578-4862</issn><issn>2405-8297</issn><eissn>2578-4862</eissn><abstract>This paper presents the implementation of adaptive sliding mode estimation (ASME) of the state of charge of a battery on a field programmable gate array (FPGA). 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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | adaptive sliding mode battery charge models Engineering Sciences Equivalent circuits Field programmable gate arrays finite time estimation FPGA nonlinear dynamics Parameter identification SOC estimation State of charge |
| title | Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device |
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