Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-Path Control and Tailpipe Emission Feedback
Heavy-duty diesel engines are used in a wide range of applications. For varying operating environments, the engine and aftertreatment system must comply with the real-world emission legislation limits. Simultaneously, minimal fuel consumption and good drivability are crucial for economic competitive...
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Veröffentlicht in: | SAE International journal of engines 2016-04, Vol.9 (3), p.1662-1673, Article 2016-01-0961 |
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creator | Ramachandran, Satish Narayanan Hommen, Gillis Mentink, Paul Seykens, Xander Willems, Frank Kupper, Frank |
description | Heavy-duty diesel engines are used in a wide range of applications. For varying operating environments, the engine and aftertreatment system must comply with the real-world emission legislation limits. Simultaneously, minimal fuel consumption and good drivability are crucial for economic competitiveness and usability.
Meeting these requirements takes substantial development and calibration effort, and complying with regulations results in a trade-off between emissions and fuel consumption. TNO's Integrated Emission Management (IEM) strategy finds online, the cost-optimal point in this trade-off and is able to deal with variations in operating conditions, while complying with legislation limits. Based on the actual state of the engine and aftertreatment system, an optimal engine operating point is computed using a model-based optimal-control algorithm.
A novel feature introduced in this work is the addition of a feedback scheme to control the tailpipe NOₓ emissions through modification of the Lagrange multiplier in the optimal control algorithm. The Lagrange multiplier represents the penalty on tailpipe NOₓ emissions in the optimal control problem. This feature provides In-Service Conformity (ISC) in real-life operation and adds robustness, in terms of emissions, to system disturbances, such as production tolerances, system ageing and sensor or actuator errors.
The IEM strategy is a generic toolkit and can incorporate additional optimization variables, provided their effects are accurately represented by the online models of the engine and aftertreatment system. This can be used to include additional degrees of freedom such as fuel injection timing, pressure, pre- and post-injections and power-splits for hybrid drivelines. IEM is capable of real-time implementation and has previously been operated on an engine testbed, showing up to 2% reduction in fuel consumption that can be translated into a corresponding CO₂ emission reduction. |
doi_str_mv | 10.4271/2016-01-0961 |
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Meeting these requirements takes substantial development and calibration effort, and complying with regulations results in a trade-off between emissions and fuel consumption. TNO's Integrated Emission Management (IEM) strategy finds online, the cost-optimal point in this trade-off and is able to deal with variations in operating conditions, while complying with legislation limits. Based on the actual state of the engine and aftertreatment system, an optimal engine operating point is computed using a model-based optimal-control algorithm.
A novel feature introduced in this work is the addition of a feedback scheme to control the tailpipe NOₓ emissions through modification of the Lagrange multiplier in the optimal control algorithm. The Lagrange multiplier represents the penalty on tailpipe NOₓ emissions in the optimal control problem. This feature provides In-Service Conformity (ISC) in real-life operation and adds robustness, in terms of emissions, to system disturbances, such as production tolerances, system ageing and sensor or actuator errors.
The IEM strategy is a generic toolkit and can incorporate additional optimization variables, provided their effects are accurately represented by the online models of the engine and aftertreatment system. This can be used to include additional degrees of freedom such as fuel injection timing, pressure, pre- and post-injections and power-splits for hybrid drivelines. IEM is capable of real-time implementation and has previously been operated on an engine testbed, showing up to 2% reduction in fuel consumption that can be translated into a corresponding CO₂ emission reduction.</description><identifier>ISSN: 1946-3936</identifier><identifier>ISSN: 1946-3944</identifier><identifier>EISSN: 1946-3944</identifier><identifier>DOI: 10.4271/2016-01-0961</identifier><language>eng</language><publisher>Warrendale: SAE International</publisher><subject>Air pollution control ; Automotive diesel engines ; Automotive emissions ; Carbon dioxide emissions ; Control ; Design and construction ; Diesel engines ; Emission control systems ; Emissions control ; Emissions regulations ; Engines ; Environmental aspects ; Exhaust pipes ; Fuel consumption ; Fuels ; Legislation ; Methods ; Modeling ; Monte Carlo methods ; Particulate emissions ; Sensors</subject><ispartof>SAE International journal of engines, 2016-04, Vol.9 (3), p.1662-1673, Article 2016-01-0961</ispartof><rights>Copyright © 2016 SAE International</rights><rights>COPYRIGHT 2016 SAE International</rights><rights>Copyright SAE International, a Pennsylvania Not-for Profit 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-d642e74eec7b4d07ab99d2d53155fdcd93ea7f4be75117683d18cfd469136dc3</citedby><cites>FETCH-LOGICAL-c435t-d642e74eec7b4d07ab99d2d53155fdcd93ea7f4be75117683d18cfd469136dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26284931$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26284931$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Ramachandran, Satish Narayanan</creatorcontrib><creatorcontrib>Hommen, Gillis</creatorcontrib><creatorcontrib>Mentink, Paul</creatorcontrib><creatorcontrib>Seykens, Xander</creatorcontrib><creatorcontrib>Willems, Frank</creatorcontrib><creatorcontrib>Kupper, Frank</creatorcontrib><title>Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-Path Control and Tailpipe Emission Feedback</title><title>SAE International journal of engines</title><description>Heavy-duty diesel engines are used in a wide range of applications. For varying operating environments, the engine and aftertreatment system must comply with the real-world emission legislation limits. Simultaneously, minimal fuel consumption and good drivability are crucial for economic competitiveness and usability.
Meeting these requirements takes substantial development and calibration effort, and complying with regulations results in a trade-off between emissions and fuel consumption. TNO's Integrated Emission Management (IEM) strategy finds online, the cost-optimal point in this trade-off and is able to deal with variations in operating conditions, while complying with legislation limits. Based on the actual state of the engine and aftertreatment system, an optimal engine operating point is computed using a model-based optimal-control algorithm.
A novel feature introduced in this work is the addition of a feedback scheme to control the tailpipe NOₓ emissions through modification of the Lagrange multiplier in the optimal control algorithm. The Lagrange multiplier represents the penalty on tailpipe NOₓ emissions in the optimal control problem. This feature provides In-Service Conformity (ISC) in real-life operation and adds robustness, in terms of emissions, to system disturbances, such as production tolerances, system ageing and sensor or actuator errors.
The IEM strategy is a generic toolkit and can incorporate additional optimization variables, provided their effects are accurately represented by the online models of the engine and aftertreatment system. This can be used to include additional degrees of freedom such as fuel injection timing, pressure, pre- and post-injections and power-splits for hybrid drivelines. IEM is capable of real-time implementation and has previously been operated on an engine testbed, showing up to 2% reduction in fuel consumption that can be translated into a corresponding CO₂ emission reduction.</description><subject>Air pollution control</subject><subject>Automotive diesel engines</subject><subject>Automotive emissions</subject><subject>Carbon dioxide emissions</subject><subject>Control</subject><subject>Design and construction</subject><subject>Diesel engines</subject><subject>Emission control systems</subject><subject>Emissions control</subject><subject>Emissions regulations</subject><subject>Engines</subject><subject>Environmental aspects</subject><subject>Exhaust pipes</subject><subject>Fuel consumption</subject><subject>Fuels</subject><subject>Legislation</subject><subject>Methods</subject><subject>Modeling</subject><subject>Monte Carlo methods</subject><subject>Particulate emissions</subject><subject>Sensors</subject><issn>1946-3936</issn><issn>1946-3944</issn><issn>1946-3944</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkc9rHCEcxYfSQtO0t14LA73GVMdf63FZNm0hsKXsXRz9ztbtjE7VPRTyx8fJlJTgQXl-vk95r2k-EnzLOkm-dJgIhAnCSpBXzRVRTCCqGHv9fKbibfMu5zPGQmKKr5qHn7G_5HLT7mIu6DAXP5mxNcFVYZpHb0Jp9-HkAzyJ26FAKglMmaDeHGZIpvgY2kv24dRufUI_TPlVh0NJcTU6Gj_OfoZ2P_mcF_gOwPXG_n7fvBnMmOHDv_26Od7tj7tv6P7w9ftue48so7wgJ1gHkgFY2TOHpemVcp3jlHA-OOsUBSMH1oPkhEixoY5s7OCYUIQKZ-l183m1nVP8c4Fc9DleUqgv6o4zzJnCilfqdqVOZgTtwxBLMrYuB5O3McDgq77lnONNR7GsAzfrgE0x5wSDnlNNL_3VBOulD730oTHRSx8VRyuezWJfcwxP0Znx_29e8p9W_pxLTM_eneg2TFFCHwGXqpbS</recordid><startdate>20160405</startdate><enddate>20160405</enddate><creator>Ramachandran, Satish Narayanan</creator><creator>Hommen, Gillis</creator><creator>Mentink, Paul</creator><creator>Seykens, Xander</creator><creator>Willems, Frank</creator><creator>Kupper, Frank</creator><general>SAE International</general><general>SAE International, a Pennsylvania Not-for Profit</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20160405</creationdate><title>Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-Path Control and Tailpipe Emission Feedback</title><author>Ramachandran, Satish Narayanan ; Hommen, Gillis ; Mentink, Paul ; Seykens, Xander ; Willems, Frank ; Kupper, Frank</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-d642e74eec7b4d07ab99d2d53155fdcd93ea7f4be75117683d18cfd469136dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Air pollution control</topic><topic>Automotive diesel engines</topic><topic>Automotive emissions</topic><topic>Carbon dioxide emissions</topic><topic>Control</topic><topic>Design and construction</topic><topic>Diesel engines</topic><topic>Emission control systems</topic><topic>Emissions control</topic><topic>Emissions regulations</topic><topic>Engines</topic><topic>Environmental aspects</topic><topic>Exhaust pipes</topic><topic>Fuel consumption</topic><topic>Fuels</topic><topic>Legislation</topic><topic>Methods</topic><topic>Modeling</topic><topic>Monte Carlo methods</topic><topic>Particulate emissions</topic><topic>Sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramachandran, Satish Narayanan</creatorcontrib><creatorcontrib>Hommen, Gillis</creatorcontrib><creatorcontrib>Mentink, Paul</creatorcontrib><creatorcontrib>Seykens, Xander</creatorcontrib><creatorcontrib>Willems, Frank</creatorcontrib><creatorcontrib>Kupper, Frank</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>SAE International journal of engines</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramachandran, Satish Narayanan</au><au>Hommen, Gillis</au><au>Mentink, Paul</au><au>Seykens, Xander</au><au>Willems, Frank</au><au>Kupper, Frank</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-Path Control and Tailpipe Emission Feedback</atitle><jtitle>SAE International journal of engines</jtitle><date>2016-04-05</date><risdate>2016</risdate><volume>9</volume><issue>3</issue><spage>1662</spage><epage>1673</epage><pages>1662-1673</pages><artnum>2016-01-0961</artnum><issn>1946-3936</issn><issn>1946-3944</issn><eissn>1946-3944</eissn><abstract>Heavy-duty diesel engines are used in a wide range of applications. For varying operating environments, the engine and aftertreatment system must comply with the real-world emission legislation limits. Simultaneously, minimal fuel consumption and good drivability are crucial for economic competitiveness and usability.
Meeting these requirements takes substantial development and calibration effort, and complying with regulations results in a trade-off between emissions and fuel consumption. TNO's Integrated Emission Management (IEM) strategy finds online, the cost-optimal point in this trade-off and is able to deal with variations in operating conditions, while complying with legislation limits. Based on the actual state of the engine and aftertreatment system, an optimal engine operating point is computed using a model-based optimal-control algorithm.
A novel feature introduced in this work is the addition of a feedback scheme to control the tailpipe NOₓ emissions through modification of the Lagrange multiplier in the optimal control algorithm. The Lagrange multiplier represents the penalty on tailpipe NOₓ emissions in the optimal control problem. This feature provides In-Service Conformity (ISC) in real-life operation and adds robustness, in terms of emissions, to system disturbances, such as production tolerances, system ageing and sensor or actuator errors.
The IEM strategy is a generic toolkit and can incorporate additional optimization variables, provided their effects are accurately represented by the online models of the engine and aftertreatment system. This can be used to include additional degrees of freedom such as fuel injection timing, pressure, pre- and post-injections and power-splits for hybrid drivelines. IEM is capable of real-time implementation and has previously been operated on an engine testbed, showing up to 2% reduction in fuel consumption that can be translated into a corresponding CO₂ emission reduction.</abstract><cop>Warrendale</cop><pub>SAE International</pub><doi>10.4271/2016-01-0961</doi><tpages>12</tpages></addata></record> |
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source | Jstor Complete Legacy |
subjects | Air pollution control Automotive diesel engines Automotive emissions Carbon dioxide emissions Control Design and construction Diesel engines Emission control systems Emissions control Emissions regulations Engines Environmental aspects Exhaust pipes Fuel consumption Fuels Legislation Methods Modeling Monte Carlo methods Particulate emissions Sensors |
title | Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-Path Control and Tailpipe Emission Feedback |
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