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Robust polynomial approach for state of charge estimation in NiMH batteries
In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissib...
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| Published in: | International journal of hydrogen energy 2012-07, Vol.37 (13), p.10371-10375 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c497t-acd387bce41e9ee32afba0c5a558d071d7d0fdfc5964a992fcae68ffef3ac5ff3 |
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| container_end_page | 10375 |
| container_issue | 13 |
| container_start_page | 10371 |
| container_title | International journal of hydrogen energy |
| container_volume | 37 |
| creator | Milocco, R.H. Thomas, J.E. Castro, B.E. |
| description | In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissible uncertainties be minimum. The results are compared with those obtained using the linear Kalman filter. We conclude that both estimations have similar performance, although the robust filter is easier to tune. Experimental results with commercial batteries are provided to illustrate the estimation procedure and it performance. |
| doi_str_mv | 10.1016/j.ijhydene.2012.01.164 |
| format | article |
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Production and utilization</subject><subject>Applied sciences</subject><subject>Batteries</subject><subject>Charge</subject><subject>Electric batteries</subject><subject>Energy</subject><subject>Errors</subject><subject>Estimates</subject><subject>Exact sciences and technology</subject><subject>Fuels</subject><subject>Hydrogen</subject><subject>Hydrogen storage</subject><subject>Kalman filtering</subject><subject>Metal Hydride battery</subject><subject>Optimization</subject><subject>Robust filtering</subject><subject>State of charge</subject><subject>Uncertainty</subject><subject>Wiener model</subject><issn>0360-3199</issn><issn>1879-3487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkE1rGzEQhkVpoG7Sv1B0KfSyG2mllVa3hNA2JV8QkrMYa0e1zHrlSnLA_74yTnPNaS7PzPvOQ8hXzlrOuDpft2G92o84Y9sx3rWMt1zJD2TBB20aIQf9kSyYUKwR3JhP5HPOa8a4ZtIsyM1jXO5yods47ee4CTBR2G5TBLeiPiaaCxSk0VO3gvQHKeYSNlBCnGmY6X24u6ZLKAVTwHxGTjxMGb-8zlPy_PPH09V1c_vw6_fV5W3jpNGlATeKQS8dSo4GUXTgl8BcD30_jEzzUY_Mj971RkkwpvMOUA3eoxfgeu_FKfl-vFt7_t3VRnYTssNpghnjLluuNFdVjeDvo0wMnZTGiIqqI-pSzDmht9tUX037CtmDaLu2_0Xbg2jLeI2SdfHbawZkB5NPMLuQ37Y7xQTr9YG7OHJY3bwETDa7gLPDMSR0xY4xvBf1DyQnmNA</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Milocco, R.H.</creator><creator>Thomas, J.E.</creator><creator>Castro, B.E.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>20120701</creationdate><title>Robust polynomial approach for state of charge estimation in NiMH batteries</title><author>Milocco, R.H. ; Thomas, J.E. ; Castro, B.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-acd387bce41e9ee32afba0c5a558d071d7d0fdfc5964a992fcae68ffef3ac5ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Alternative fuels. Production and utilization</topic><topic>Applied sciences</topic><topic>Batteries</topic><topic>Charge</topic><topic>Electric batteries</topic><topic>Energy</topic><topic>Errors</topic><topic>Estimates</topic><topic>Exact sciences and technology</topic><topic>Fuels</topic><topic>Hydrogen</topic><topic>Hydrogen storage</topic><topic>Kalman filtering</topic><topic>Metal Hydride battery</topic><topic>Optimization</topic><topic>Robust filtering</topic><topic>State of charge</topic><topic>Uncertainty</topic><topic>Wiener model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Milocco, R.H.</creatorcontrib><creatorcontrib>Thomas, J.E.</creatorcontrib><creatorcontrib>Castro, B.E.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of hydrogen energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Milocco, R.H.</au><au>Thomas, J.E.</au><au>Castro, B.E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust polynomial approach for state of charge estimation in NiMH batteries</atitle><jtitle>International journal of hydrogen energy</jtitle><date>2012-07-01</date><risdate>2012</risdate><volume>37</volume><issue>13</issue><spage>10371</spage><epage>10375</epage><pages>10371-10375</pages><issn>0360-3199</issn><eissn>1879-3487</eissn><coden>IJHEDX</coden><abstract>In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. 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| ispartof | International journal of hydrogen energy, 2012-07, Vol.37 (13), p.10371-10375 |
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| language | eng |
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| source | ScienceDirect Freedom Collection |
| subjects | Alternative fuels. Production and utilization Applied sciences Batteries Charge Electric batteries Energy Errors Estimates Exact sciences and technology Fuels Hydrogen Hydrogen storage Kalman filtering Metal Hydride battery Optimization Robust filtering State of charge Uncertainty Wiener model |
| title | Robust polynomial approach for state of charge estimation in NiMH batteries |
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