Model-based Diagnosis of an Automotive Electric Power Generation and Storage System
This paper presents mathematical models, design and experimental validation, and calibration of a model-based diagnostic algorithm for an electric-power generation and storage automotive system, including a battery and an alternator with a rectifier and a voltage regulator. Mathematical models of th...
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| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2014-01, Vol.44 (1), p.72-85 |
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| container_title | IEEE transactions on systems, man, and cybernetics. Systems |
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| creator | Scacchioli, Annalisa Rizzoni, Giorgio Salman, Mutasim A. Weiwu Li Onori, Simona Xiaodong Zhang |
| description | This paper presents mathematical models, design and experimental validation, and calibration of a model-based diagnostic algorithm for an electric-power generation and storage automotive system, including a battery and an alternator with a rectifier and a voltage regulator. Mathematical models of these subsystems are derived, based on the physics of processes involved as characterized by time-varying nonlinear ordinary differential equations. The diagnostic problem focuses on detection and isolation of a specific set of alternator faults, including belt slipping, rectifier fault, and voltage regulator fault. The proposed diagnostic approach is based on the generation of residuals obtained using system models and comparing predicted and measured value of selected variables, including alternator output current, field voltage, and battery voltage. An equivalent input-output alternator model, which is used in the diagnostic scheme, is also formulated and parameterized. The test bench used for calibration of thresholds of the diagnostic algorithm and overall validation process are discussed. The effectiveness of the fault diagnosis algorithm and threshold selection is experimentally demonstrated. |
| doi_str_mv | 10.1109/TSMCC.2012.2235951 |
| format | Article |
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Mathematical models of these subsystems are derived, based on the physics of processes involved as characterized by time-varying nonlinear ordinary differential equations. The diagnostic problem focuses on detection and isolation of a specific set of alternator faults, including belt slipping, rectifier fault, and voltage regulator fault. The proposed diagnostic approach is based on the generation of residuals obtained using system models and comparing predicted and measured value of selected variables, including alternator output current, field voltage, and battery voltage. An equivalent input-output alternator model, which is used in the diagnostic scheme, is also formulated and parameterized. The test bench used for calibration of thresholds of the diagnostic algorithm and overall validation process are discussed. The effectiveness of the fault diagnosis algorithm and threshold selection is experimentally demonstrated.</description><identifier>ISSN: 2168-2216</identifier><identifier>EISSN: 2168-2232</identifier><identifier>DOI: 10.1109/TSMCC.2012.2235951</identifier><identifier>CODEN: ITSMFE</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Alternators ; Applied sciences ; Automotive ; Batteries ; Computer science; control theory; systems ; Convertors ; electric power generator ; electric power storage system ; Electrical engineering. Electrical power engineering ; Electrical machines ; electrical systems ; Exact sciences and technology ; Fault diagnosis ; Mathematical model ; Mathematical models ; Mechanical engineering. Machine design ; Memory and file management (including protection and security) ; Memory organisation. Data processing ; model-based diagnosis ; Ordinary differential equations ; Regulators ; Simulation ; Software ; Stator windings ; Voltage control</subject><ispartof>IEEE transactions on systems, man, and cybernetics. Systems, 2014-01, Vol.44 (1), p.72-85</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jan 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-946c26a4eae5313fff6acc3d4fcb5fff4c3bbd4e87c7de5fcf29485999e77f803</citedby><cites>FETCH-LOGICAL-c428t-946c26a4eae5313fff6acc3d4fcb5fff4c3bbd4e87c7de5fcf29485999e77f803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6423955$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6423955$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28150260$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Scacchioli, Annalisa</creatorcontrib><creatorcontrib>Rizzoni, Giorgio</creatorcontrib><creatorcontrib>Salman, Mutasim A.</creatorcontrib><creatorcontrib>Weiwu Li</creatorcontrib><creatorcontrib>Onori, Simona</creatorcontrib><creatorcontrib>Xiaodong Zhang</creatorcontrib><title>Model-based Diagnosis of an Automotive Electric Power Generation and Storage System</title><title>IEEE transactions on systems, man, and cybernetics. Systems</title><addtitle>TSMC</addtitle><description>This paper presents mathematical models, design and experimental validation, and calibration of a model-based diagnostic algorithm for an electric-power generation and storage automotive system, including a battery and an alternator with a rectifier and a voltage regulator. Mathematical models of these subsystems are derived, based on the physics of processes involved as characterized by time-varying nonlinear ordinary differential equations. The diagnostic problem focuses on detection and isolation of a specific set of alternator faults, including belt slipping, rectifier fault, and voltage regulator fault. The proposed diagnostic approach is based on the generation of residuals obtained using system models and comparing predicted and measured value of selected variables, including alternator output current, field voltage, and battery voltage. An equivalent input-output alternator model, which is used in the diagnostic scheme, is also formulated and parameterized. The test bench used for calibration of thresholds of the diagnostic algorithm and overall validation process are discussed. The effectiveness of the fault diagnosis algorithm and threshold selection is experimentally demonstrated.</description><subject>Algorithms</subject><subject>Alternators</subject><subject>Applied sciences</subject><subject>Automotive</subject><subject>Batteries</subject><subject>Computer science; control theory; systems</subject><subject>Convertors</subject><subject>electric power generator</subject><subject>electric power storage system</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical machines</subject><subject>electrical systems</subject><subject>Exact sciences and technology</subject><subject>Fault diagnosis</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Mechanical engineering. Machine design</subject><subject>Memory and file management (including protection and security)</subject><subject>Memory organisation. Data processing</subject><subject>model-based diagnosis</subject><subject>Ordinary differential equations</subject><subject>Regulators</subject><subject>Simulation</subject><subject>Software</subject><subject>Stator windings</subject><subject>Voltage control</subject><issn>2168-2216</issn><issn>2168-2232</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE9LAzEQxRdRUGq_gF4CInjZmv-7OZZaq9Ci0Hpe0uykRLabmmyVfntTW3rwNDPM7z0eL8tuCB4QgtXjYj4bjQYUEzqglAklyFl2RYks83TS89NO5GXWj_ET44SWkmF5lc1nvoYmX-oINXpyetX66CLyFukWDbedX_vOfQMaN2C64Ax69z8Q0ARaCLpzvk1cjeadD3oFaL6LHayvswurmwj94-xlH8_jxegln75NXkfDaW44LbtccWmo1Bw0CEaYtVZqY1jNrVmKdHHDlsuaQ1mYogZhjaWKl0IpBUVhS8x62cPBdxP81xZiV61dNNA0ugW_jRXhijPKSywTevcP_fTb0KZ0iSqwwEpImih6oEzwMQaw1Sa4tQ67iuBqX3X1V3W1r7o6Vp1E90drHY1ubNCtcfGkpCURmMp92tsD5wDg9JacMiUE-wX6H4cu</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Scacchioli, Annalisa</creator><creator>Rizzoni, Giorgio</creator><creator>Salman, Mutasim A.</creator><creator>Weiwu Li</creator><creator>Onori, Simona</creator><creator>Xiaodong Zhang</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Electrical power engineering</topic><topic>Electrical machines</topic><topic>electrical systems</topic><topic>Exact sciences and technology</topic><topic>Fault diagnosis</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Mechanical engineering. Machine design</topic><topic>Memory and file management (including protection and security)</topic><topic>Memory organisation. 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Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Scacchioli, Annalisa</au><au>Rizzoni, Giorgio</au><au>Salman, Mutasim A.</au><au>Weiwu Li</au><au>Onori, Simona</au><au>Xiaodong Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model-based Diagnosis of an Automotive Electric Power Generation and Storage System</atitle><jtitle>IEEE transactions on systems, man, and cybernetics. Systems</jtitle><stitle>TSMC</stitle><date>2014-01-01</date><risdate>2014</risdate><volume>44</volume><issue>1</issue><spage>72</spage><epage>85</epage><pages>72-85</pages><issn>2168-2216</issn><eissn>2168-2232</eissn><coden>ITSMFE</coden><abstract>This paper presents mathematical models, design and experimental validation, and calibration of a model-based diagnostic algorithm for an electric-power generation and storage automotive system, including a battery and an alternator with a rectifier and a voltage regulator. Mathematical models of these subsystems are derived, based on the physics of processes involved as characterized by time-varying nonlinear ordinary differential equations. The diagnostic problem focuses on detection and isolation of a specific set of alternator faults, including belt slipping, rectifier fault, and voltage regulator fault. 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| subjects | Algorithms Alternators Applied sciences Automotive Batteries Computer science control theory systems Convertors electric power generator electric power storage system Electrical engineering. Electrical power engineering Electrical machines electrical systems Exact sciences and technology Fault diagnosis Mathematical model Mathematical models Mechanical engineering. Machine design Memory and file management (including protection and security) Memory organisation. Data processing model-based diagnosis Ordinary differential equations Regulators Simulation Software Stator windings Voltage control |
| title | Model-based Diagnosis of an Automotive Electric Power Generation and Storage System |
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