Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model
Vehicle sideslip angle is a key state for lateral vehicle dynamics, but measuring it is expensive and unpractical. Still, knowledge of this state would be really valuable for vehicle control systems aimed at enhancing vehicle safety, to help to reduce worldwide fatal car accidents. This has motivate...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9151952/ |
| _version_ | 1818917502896308224 |
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| author | Feliciano Di Biase Basilio Lenzo Francesco Timpone |
| author_facet | Feliciano Di Biase Basilio Lenzo Francesco Timpone |
| author_sort | Feliciano Di Biase |
| collection | DOAJ |
| description | Vehicle sideslip angle is a key state for lateral vehicle dynamics, but measuring it is expensive and unpractical. Still, knowledge of this state would be really valuable for vehicle control systems aimed at enhancing vehicle safety, to help to reduce worldwide fatal car accidents. This has motivated the research community to investigate techniques to estimate vehicle sideslip angle, which is still a challenging problem. One of the major issues is the need for accurate tyre model parameters, which are difficult to characterise and subject to change during vehicle operation. This paper proposes a new method for estimating vehicle sideslip angle using an Extended Kalman Filter. The main novelties are: i) the tyre behaviour is described using a Rational tyre model whose parameters are estimated and updated online to account for their variation due to e.g. tyre wear and environmental conditions affecting the tyre behaviour; ii) the proposed technique is compared with two other methods available in the literature by means of experimental tests on a heavy-duty vehicle. Results show that: i) the proposed method effectively estimates vehicle sideslip angle with an error limited to 0.5 deg in standard driving conditions, and less than 1 deg for a high-speed run; ii) the tyre parameters are successfully updated online, contributing to outclassing estimation methods based on tyre models that are either excessively simple or with non-varying parameters. |
| first_indexed | 2024-12-20T00:35:06Z |
| format | Article |
| id | doaj.art-2ff1c34157c44855b02d83221b5f68e1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T00:35:06Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2ff1c34157c44855b02d83221b5f68e12022-12-21T19:59:47ZengIEEEIEEE Access2169-35362020-01-01814212014213010.1109/ACCESS.2020.30127709151952Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre ModelFeliciano Di Biase0https://orcid.org/0000-0003-0401-9537Basilio Lenzo1https://orcid.org/0000-0002-8520-7953Francesco Timpone2Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield, U.K.Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield, U.K.Department of Industrial Engineering, University of Naples Federico II, Napoli, ItalyVehicle sideslip angle is a key state for lateral vehicle dynamics, but measuring it is expensive and unpractical. Still, knowledge of this state would be really valuable for vehicle control systems aimed at enhancing vehicle safety, to help to reduce worldwide fatal car accidents. This has motivated the research community to investigate techniques to estimate vehicle sideslip angle, which is still a challenging problem. One of the major issues is the need for accurate tyre model parameters, which are difficult to characterise and subject to change during vehicle operation. This paper proposes a new method for estimating vehicle sideslip angle using an Extended Kalman Filter. The main novelties are: i) the tyre behaviour is described using a Rational tyre model whose parameters are estimated and updated online to account for their variation due to e.g. tyre wear and environmental conditions affecting the tyre behaviour; ii) the proposed technique is compared with two other methods available in the literature by means of experimental tests on a heavy-duty vehicle. Results show that: i) the proposed method effectively estimates vehicle sideslip angle with an error limited to 0.5 deg in standard driving conditions, and less than 1 deg for a high-speed run; ii) the tyre parameters are successfully updated online, contributing to outclassing estimation methods based on tyre models that are either excessively simple or with non-varying parameters.https://ieeexplore.ieee.org/document/9151952/Kalman filtersideslip anglestate estimationrational tyre modelvehicle dynamics |
| spellingShingle | Feliciano Di Biase Basilio Lenzo Francesco Timpone Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model IEEE Access Kalman filter sideslip angle state estimation rational tyre model vehicle dynamics |
| title | Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model |
| title_full | Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model |
| title_fullStr | Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model |
| title_full_unstemmed | Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model |
| title_short | Vehicle Sideslip Angle Estimation for a Heavy-Duty Vehicle via Extended Kalman Filter Using a Rational Tyre Model |
| title_sort | vehicle sideslip angle estimation for a heavy duty vehicle via extended kalman filter using a rational tyre model |
| topic | Kalman filter sideslip angle state estimation rational tyre model vehicle dynamics |
| url | https://ieeexplore.ieee.org/document/9151952/ |
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