Nonlinear identification of torsional driveshaft vibrations in a full-scale automotive vehicle during acceleration
Torque transfer characteristics of the drivetrain of a continuously variable transmission (CVT) vehicle during acceleration are identified on the basis of a particle swarm optimization (PSO) method. The torque transfer characteristics from the CVT input shaft to the driveshaft are described by a sim...
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Veröffentlicht in: | Nonlinear dynamics 2016-10, Vol.86 (1), p.711-721 |
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creator | Yoshida, Katsutoshi Takamatsu, Hideki Matsumoto, Shigeki |
description | Torque transfer characteristics of the drivetrain of a continuously variable transmission (CVT) vehicle during acceleration are identified on the basis of a particle swarm optimization (PSO) method. The torque transfer characteristics from the CVT input shaft to the driveshaft are described by a simple nonlinear model: a single degree-of-freedom vibration model with a clearance. Based on the time series obtained from a full-scale experiment, the model parameters are identified by PSO. The simulated driveshaft torque shows good agreement with the experimental time series, and the identification error is reduced by data correction methods. The resulting model extrapolates an unknown region of the time series outside the identified time interval and predicts an additional time series obtained from a separate trial of the experiment. |
doi_str_mv | 10.1007/s11071-016-2917-8 |
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The resulting model extrapolates an unknown region of the time series outside the identified time interval and predicts an additional time series obtained from a separate trial of the experiment.</description><subject>Acceleration</subject><subject>Automotive Engineering</subject><subject>Classical Mechanics</subject><subject>Computer simulation</subject><subject>Continuously variable</subject><subject>Control</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Error correction</subject><subject>Error reduction</subject><subject>Identification methods</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Nonlinearity</subject><subject>Original Paper</subject><subject>Parameter identification</subject><subject>Particle swarm optimization</subject><subject>Powertrain</subject><subject>Shafts (machine elements)</subject><subject>Swarm intelligence</subject><subject>Time series</subject><subject>Torque</subject><subject>Transmissions (automotive)</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kU-LFDEQxYMoOK5-AG8BL16iVUlPJ32UxX-w6EVhb6EmXXGz9HTGpHvAb2_G9iCCnqoofu9RVU-I5wivEMC-rohgUQH2Sg9olXsgdri3Rul-uH0odjDoTsEAt4_Fk1rvAcBocDtRPuV5SjNTkWnkeUkxBVpSnmWOcsmltpYmOZZ05npHcZHndCi_iCrTLEnGdZpUDTSxpHXJx7w0VJ75LoU2GteS5m-SQuCJN91T8SjSVPnZ73olvr57--X6g7r5_P7j9ZsbFYy1iyI0xiIdHHKAQDEAtMO4H0cT7WEYQu8MUzggM2nrOuLQ7bHbRx6cA47mSrzcfE8lf1-5Lv6YaltjopnzWj02DPTeDbqhL_5C7_Na2uHVa90Dmt708D_q4uVsZ51tFG5UKLnWwtGfSjpS-eER_CUrv2XlW1b-kpV3TaM3TT1d3sXlD-d_in4CY8-Y9A</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Yoshida, Katsutoshi</creator><creator>Takamatsu, Hideki</creator><creator>Matsumoto, Shigeki</creator><general>Springer Netherlands</general><general>Springer Nature B.V</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><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20161001</creationdate><title>Nonlinear identification of torsional driveshaft vibrations in a full-scale automotive vehicle during acceleration</title><author>Yoshida, Katsutoshi ; 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The torque transfer characteristics from the CVT input shaft to the driveshaft are described by a simple nonlinear model: a single degree-of-freedom vibration model with a clearance. Based on the time series obtained from a full-scale experiment, the model parameters are identified by PSO. The simulated driveshaft torque shows good agreement with the experimental time series, and the identification error is reduced by data correction methods. The resulting model extrapolates an unknown region of the time series outside the identified time interval and predicts an additional time series obtained from a separate trial of the experiment.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11071-016-2917-8</doi><tpages>11</tpages></addata></record> |
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subjects | Acceleration Automotive Engineering Classical Mechanics Computer simulation Continuously variable Control Dynamical Systems Engineering Error correction Error reduction Identification methods Mathematical models Mechanical Engineering Nonlinearity Original Paper Parameter identification Particle swarm optimization Powertrain Shafts (machine elements) Swarm intelligence Time series Torque Transmissions (automotive) Vibration |
title | Nonlinear identification of torsional driveshaft vibrations in a full-scale automotive vehicle during acceleration |
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