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Identification of firefly algorithm-based fluctuation coefficient of the exciting torque for vehicle driveline
The unbalanced excitation force and torque generated by an engine that resonate with the natural frequency of drivetrain often causes vibration and noise problems in vehicles. This study aims to comprehensively employ theoretical modelling and experimental identification methods to obtain the fluctu...
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Published in: | Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics Journal of multi-body dynamics, 2019-06, Vol.233 (2), p.317-326 |
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container_title | Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics |
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creator | Liu, Qiaobin Shi, Wenku Chen, Zhiyong |
description | The unbalanced excitation force and torque generated by an engine that resonate with the natural frequency of drivetrain often causes vibration and noise problems in vehicles. This study aims to comprehensively employ theoretical modelling and experimental identification methods to obtain the fluctuation coefficients of engine excitation torque when a car is in different gear positions. The inherent characteristics of the system are studied on the basis of the four-degree-of-freedom driveline lumped mass model and the longitudinal dynamics model of vehicle. The correctness of the model is verified by torsional vibration test. The second order's engine torque fluctuation coefficients are identified by firefly algorithm according to the curves of flywheel speed in different gears under the acceleration condition of the whole open throttle. The torque obtained by parameter identification is applied to the model, and the torsional vibration response of the system is analysed. The influence of the key parameters on the torsional vibration response of the system is investigated. The study concludes that proper reduction of clutch stiffness can increase clutch damping and half-axle rigidity, which can help improve the torsional vibration performance of the system. This study can provide reference for vehicle drivetrain modelling and torsional vibration control. |
doi_str_mv | 10.1177/1464419318808172 |
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This study aims to comprehensively employ theoretical modelling and experimental identification methods to obtain the fluctuation coefficients of engine excitation torque when a car is in different gear positions. The inherent characteristics of the system are studied on the basis of the four-degree-of-freedom driveline lumped mass model and the longitudinal dynamics model of vehicle. The correctness of the model is verified by torsional vibration test. The second order's engine torque fluctuation coefficients are identified by firefly algorithm according to the curves of flywheel speed in different gears under the acceleration condition of the whole open throttle. The torque obtained by parameter identification is applied to the model, and the torsional vibration response of the system is analysed. The influence of the key parameters on the torsional vibration response of the system is investigated. The study concludes that proper reduction of clutch stiffness can increase clutch damping and half-axle rigidity, which can help improve the torsional vibration performance of the system. This study can provide reference for vehicle drivetrain modelling and torsional vibration control.</description><identifier>ISSN: 1464-4193</identifier><identifier>EISSN: 2041-3068</identifier><identifier>DOI: 10.1177/1464419318808172</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Acceleration ; Algorithms ; Automobiles ; Clutches ; Coefficients ; Damping ; Excitation ; Flywheels ; Heuristic methods ; Identification methods ; Mathematical models ; Modelling ; Parameter identification ; Powertrain ; Product design ; Resonant frequencies ; Shafts (machine elements) ; Stiffness ; Throttles ; Torque ; Torsion ; Torsional vibration ; Variation ; Vibration analysis ; Vibration control ; Vibration tests</subject><ispartof>Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics, 2019-06, Vol.233 (2), p.317-326</ispartof><rights>IMechE 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c262t-23292d2198979cd230149009381e2399ee7c0ffa3d41c2d11ddfa7809deda37e3</cites><orcidid>0000-0002-5159-0835</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1464419318808172$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1464419318808172$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21912,27923,27924,45058,45446,79135</link.rule.ids></links><search><creatorcontrib>Liu, Qiaobin</creatorcontrib><creatorcontrib>Shi, Wenku</creatorcontrib><creatorcontrib>Chen, Zhiyong</creatorcontrib><title>Identification of firefly algorithm-based fluctuation coefficient of the exciting torque for vehicle driveline</title><title>Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics</title><description>The unbalanced excitation force and torque generated by an engine that resonate with the natural frequency of drivetrain often causes vibration and noise problems in vehicles. This study aims to comprehensively employ theoretical modelling and experimental identification methods to obtain the fluctuation coefficients of engine excitation torque when a car is in different gear positions. The inherent characteristics of the system are studied on the basis of the four-degree-of-freedom driveline lumped mass model and the longitudinal dynamics model of vehicle. The correctness of the model is verified by torsional vibration test. The second order's engine torque fluctuation coefficients are identified by firefly algorithm according to the curves of flywheel speed in different gears under the acceleration condition of the whole open throttle. The torque obtained by parameter identification is applied to the model, and the torsional vibration response of the system is analysed. The influence of the key parameters on the torsional vibration response of the system is investigated. The study concludes that proper reduction of clutch stiffness can increase clutch damping and half-axle rigidity, which can help improve the torsional vibration performance of the system. This study can provide reference for vehicle drivetrain modelling and torsional vibration control.</description><subject>Acceleration</subject><subject>Algorithms</subject><subject>Automobiles</subject><subject>Clutches</subject><subject>Coefficients</subject><subject>Damping</subject><subject>Excitation</subject><subject>Flywheels</subject><subject>Heuristic methods</subject><subject>Identification methods</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>Parameter identification</subject><subject>Powertrain</subject><subject>Product design</subject><subject>Resonant frequencies</subject><subject>Shafts (machine elements)</subject><subject>Stiffness</subject><subject>Throttles</subject><subject>Torque</subject><subject>Torsion</subject><subject>Torsional vibration</subject><subject>Variation</subject><subject>Vibration analysis</subject><subject>Vibration control</subject><subject>Vibration tests</subject><issn>1464-4193</issn><issn>2041-3068</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kM1LAzEQxYMoWKt3jwHPq5lk2SRHKX4UBC96XmIyaVO2m5pki_3v3bKCIHiaw3u_NzOPkGtgtwBS3kHd1DVoAUoxBZKfkBlnNVSCNeqUzI5yddTPyUXOG8agqRs2I_3SYV-CD9aUEHsaPfUhoe8O1HSrmEJZb6sPk9FR3w22DJPNRvQjE0b2iJQ1UvyyoYR-RUtMnwNSHxPd4zrYDqlLYY9d6PGSnHnTZbz6mXPy_vjwtniuXl6flov7l8ryhpeKC66546CVlto6LhjUmjEtFCAXWiNKy7w3wtVguQNwzhupmHbojJAo5uRmyt2lOB6TS7uJQ-rHlS3nXGsuVaNHF5tcNsWcx6_bXQpbkw4tsPbYavu31RGpJiSbFf6G_uv_BmwgeEo</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Liu, Qiaobin</creator><creator>Shi, Wenku</creator><creator>Chen, Zhiyong</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-5159-0835</orcidid></search><sort><creationdate>201906</creationdate><title>Identification of firefly algorithm-based fluctuation coefficient of the exciting torque for vehicle driveline</title><author>Liu, Qiaobin ; Shi, Wenku ; Chen, Zhiyong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c262t-23292d2198979cd230149009381e2399ee7c0ffa3d41c2d11ddfa7809deda37e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acceleration</topic><topic>Algorithms</topic><topic>Automobiles</topic><topic>Clutches</topic><topic>Coefficients</topic><topic>Damping</topic><topic>Excitation</topic><topic>Flywheels</topic><topic>Heuristic methods</topic><topic>Identification methods</topic><topic>Mathematical models</topic><topic>Modelling</topic><topic>Parameter identification</topic><topic>Powertrain</topic><topic>Product design</topic><topic>Resonant frequencies</topic><topic>Shafts (machine elements)</topic><topic>Stiffness</topic><topic>Throttles</topic><topic>Torque</topic><topic>Torsion</topic><topic>Torsional vibration</topic><topic>Variation</topic><topic>Vibration analysis</topic><topic>Vibration control</topic><topic>Vibration tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Qiaobin</creatorcontrib><creatorcontrib>Shi, Wenku</creatorcontrib><creatorcontrib>Chen, Zhiyong</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Qiaobin</au><au>Shi, Wenku</au><au>Chen, Zhiyong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of firefly algorithm-based fluctuation coefficient of the exciting torque for vehicle driveline</atitle><jtitle>Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics</jtitle><date>2019-06</date><risdate>2019</risdate><volume>233</volume><issue>2</issue><spage>317</spage><epage>326</epage><pages>317-326</pages><issn>1464-4193</issn><eissn>2041-3068</eissn><abstract>The unbalanced excitation force and torque generated by an engine that resonate with the natural frequency of drivetrain often causes vibration and noise problems in vehicles. This study aims to comprehensively employ theoretical modelling and experimental identification methods to obtain the fluctuation coefficients of engine excitation torque when a car is in different gear positions. The inherent characteristics of the system are studied on the basis of the four-degree-of-freedom driveline lumped mass model and the longitudinal dynamics model of vehicle. The correctness of the model is verified by torsional vibration test. The second order's engine torque fluctuation coefficients are identified by firefly algorithm according to the curves of flywheel speed in different gears under the acceleration condition of the whole open throttle. The torque obtained by parameter identification is applied to the model, and the torsional vibration response of the system is analysed. The influence of the key parameters on the torsional vibration response of the system is investigated. The study concludes that proper reduction of clutch stiffness can increase clutch damping and half-axle rigidity, which can help improve the torsional vibration performance of the system. This study can provide reference for vehicle drivetrain modelling and torsional vibration control.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/1464419318808172</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5159-0835</orcidid></addata></record> |
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subjects | Acceleration Algorithms Automobiles Clutches Coefficients Damping Excitation Flywheels Heuristic methods Identification methods Mathematical models Modelling Parameter identification Powertrain Product design Resonant frequencies Shafts (machine elements) Stiffness Throttles Torque Torsion Torsional vibration Variation Vibration analysis Vibration control Vibration tests |
title | Identification of firefly algorithm-based fluctuation coefficient of the exciting torque for vehicle driveline |
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