Mass estimation of ground vehicles based on longitudinal dynamics using IMU and CAN-bus data
This paper considers the problem of real-time estimation of ground vehicle mass, based on longitudinal dynamics. Compared to previous contributions, this work relies on basic data from the vehicle controller area network bus. This allows for application to a very broad range of vehicles, by not usin...
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Published in: | Mechanical systems and signal processing Vol. 162; p. 107982 |
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Abstract | This paper considers the problem of real-time estimation of ground vehicle mass, based on longitudinal dynamics. Compared to previous contributions, this work relies on basic data from the vehicle controller area network bus. This allows for application to a very broad range of vehicles, by not using vehicle specific parameters such as current gear indicator and engine torque. The current gear ratio is predicted based on the engine and vehicle speeds. The engine torque is modelled by the mass air flow rate of the engine. The road gradient is estimated with an inertial measurement unit, with fusion of gyroscope and accelerometer using a complementary filter. To handle prolonged dynamic conditions affecting the performance of the filter, compensation of external accelerations is made by use of the vehicle speed from the controller area network bus. The mass is estimated with a recursive least squares filter with forgetting factor. The model is validated experimentally with data obtained from test drives with two different petrol powered passenger cars, equipped with a manual transmission and dual clutch automatic transmission respectively. The test drives consist of various driving conditions with different vehicle loads. The resulting mass estimates are generally good for both vehicles with variations within ±5% of the actual masses. |
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AbstractList | This paper considers the problem of real-time estimation of ground vehicle mass, based on longitudinal dynamics. Compared to previous contributions, this work relies on basic data from the vehicle controller area network bus. This allows for application to a very broad range of vehicles, by not using vehicle specific parameters such as current gear indicator and engine torque. The current gear ratio is predicted based on the engine and vehicle speeds. The engine torque is modelled by the mass air flow rate of the engine. The road gradient is estimated with an inertial measurement unit, with fusion of gyroscope and accelerometer using a complementary filter. To handle prolonged dynamic conditions affecting the performance of the filter, compensation of external accelerations is made by use of the vehicle speed from the controller area network bus. The mass is estimated with a recursive least squares filter with forgetting factor. The model is validated experimentally with data obtained from test drives with two different petrol powered passenger cars, equipped with a manual transmission and dual clutch automatic transmission respectively. The test drives consist of various driving conditions with different vehicle loads. The resulting mass estimates are generally good for both vehicles with variations within ±5% of the actual masses. |
ArticleNumber | 107982 |
Author | Clemmensen, Line K.H. Theodorsen, Søren Corstens, Harry J.P. Santos, Ilmar F. Jensen, Kenneth M. |
Author_xml | – sequence: 1 givenname: Kenneth M. surname: Jensen fullname: Jensen, Kenneth M. email: kemje@mek.dtu.dk organization: Department of Mechanical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark – sequence: 2 givenname: Ilmar F. surname: Santos fullname: Santos, Ilmar F. email: ifs@mek.dtu.dk organization: Department of Mechanical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark – sequence: 3 givenname: Line K.H. surname: Clemmensen fullname: Clemmensen, Line K.H. email: lkhc@dtu.dk organization: Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark – sequence: 4 givenname: Søren surname: Theodorsen fullname: Theodorsen, Søren email: soren.theodorsen@ilias-solutions.com organization: ILIAS Solutions, Brussels, Belgium – sequence: 5 givenname: Harry J.P. surname: Corstens fullname: Corstens, Harry J.P. email: harry.corstens@ilias-solutions.com organization: ILIAS Solutions, Brussels, Belgium |
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Cites_doi | 10.1109/TMECH.2010.2048118 10.1109/87.370713 10.1109/ACC.2008.4586760 10.1016/j.automatica.2003.11.002 10.2298/TSCI170915224M 10.1109/TVT.2009.2014385 10.1109/ICIEA.2015.7334442 10.1115/1.1486010 10.1109/TITS.2016.2627536 10.1080/00423114.2002.11666217 10.4271/2017-01-1590 10.1016/j.trd.2009.01.005 10.1080/00423110412331290446 |
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Keywords | Experimental validation Inertial measurement unit Mass estimation Dynamic modelling Recursive least squares CAN-bus |
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SubjectTerms | Accelerometers Air flow Automatic transmissions Automobiles Buses (vehicles) CAN-bus Controller area network Controllers Driving conditions Dynamic modelling Experimental validation Flow velocity Gear ratios Inertial measurement unit Inertial platforms Mass estimation Recursive least squares Torque Traffic speed Transmissions (automotive) Vehicles |
Title | Mass estimation of ground vehicles based on longitudinal dynamics using IMU and CAN-bus data |
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