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Engine torque estimation with integrated unknown input observer and adaptive parameter estimator

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Engine torque estimation with integrated unknown input observer and adaptive parameter estimator. / Harding, Thomas; Rames, Clement; Teh, Huang Yu; Mill, Toby; Na, Jing; Chen, Anthony; Herrmann, Guido.

Proceedings of the 20th IFAC World Congress. Vol. 50 2017. p. 11058-11063 (IFAC-PapersOnLine).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Harding, T, Rames, C, Teh, HY, Mill, T, Na, J, Chen, A & Herrmann, G 2017, Engine torque estimation with integrated unknown input observer and adaptive parameter estimator. in Proceedings of the 20th IFAC World Congress. vol. 50, IFAC-PapersOnLine, pp. 11058-11063, 20th IFAC World Congress, 9/07/17. https://doi.org/10.1016/j.ifacol.2017.08.2487

APA

Harding, T., Rames, C., Teh, H. Y., Mill, T., Na, J., Chen, A., & Herrmann, G. (2017). Engine torque estimation with integrated unknown input observer and adaptive parameter estimator. In Proceedings of the 20th IFAC World Congress (Vol. 50, pp. 11058-11063). (IFAC-PapersOnLine). https://doi.org/10.1016/j.ifacol.2017.08.2487

Vancouver

Harding T, Rames C, Teh HY, Mill T, Na J, Chen A et al. Engine torque estimation with integrated unknown input observer and adaptive parameter estimator. In Proceedings of the 20th IFAC World Congress. Vol. 50. 2017. p. 11058-11063. (IFAC-PapersOnLine). https://doi.org/10.1016/j.ifacol.2017.08.2487

Author

Harding, Thomas ; Rames, Clement ; Teh, Huang Yu ; Mill, Toby ; Na, Jing ; Chen, Anthony ; Herrmann, Guido. / Engine torque estimation with integrated unknown input observer and adaptive parameter estimator. Proceedings of the 20th IFAC World Congress. Vol. 50 2017. pp. 11058-11063 (IFAC-PapersOnLine).

Bibtex

@inproceedings{78b81490e21142879c3b1e3a83a18241,
title = "Engine torque estimation with integrated unknown input observer and adaptive parameter estimator",
abstract = "This paper presents an integrated estimation scheme for the effective engine torque in automotive systems. This leads to a cascaded estimation structure, composed of an adaptive parameter estimator for the augmented wheel dynamics and the longitudinal motion, and an unknown input observer for the engine crankshaft dynamics. The adaptive parameter estimator has the ability to track time-varying parameters and can therefore provide an estimate of the driving torque for the wheels. Then this estimated torque is transmitted to the engine as the load torque through the drivetrain, and is used to design the unknown input observer. The standard models of driveline and tyre friction are modified for ease of parameter estimation. Only the engine crankshaft velocity, the wheel rotational velocity, and the vehicle longitudinal speed are needed. The convergence of these estimators is analyzed. Simulations based on a dynamic simulator built with commercial vehicular simulation software, IPG CarMaker, and Matlab/Simulink show promising results.",
keywords = "Engine torque estimation, Automotive powertrain, Tyre friction, Unknown input observer",
author = "Thomas Harding and Clement Rames and Teh, {Huang Yu} and Toby Mill and Jing Na and Anthony Chen and Guido Herrmann",
year = "2017",
month = "7",
day = "1",
doi = "10.1016/j.ifacol.2017.08.2487",
language = "English",
volume = "50",
series = "IFAC-PapersOnLine",
publisher = "Elsevier",
pages = "11058--11063",
booktitle = "Proceedings of the 20th IFAC World Congress",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Engine torque estimation with integrated unknown input observer and adaptive parameter estimator

AU - Harding, Thomas

AU - Rames, Clement

AU - Teh, Huang Yu

AU - Mill, Toby

AU - Na, Jing

AU - Chen, Anthony

AU - Herrmann, Guido

PY - 2017/7/1

Y1 - 2017/7/1

N2 - This paper presents an integrated estimation scheme for the effective engine torque in automotive systems. This leads to a cascaded estimation structure, composed of an adaptive parameter estimator for the augmented wheel dynamics and the longitudinal motion, and an unknown input observer for the engine crankshaft dynamics. The adaptive parameter estimator has the ability to track time-varying parameters and can therefore provide an estimate of the driving torque for the wheels. Then this estimated torque is transmitted to the engine as the load torque through the drivetrain, and is used to design the unknown input observer. The standard models of driveline and tyre friction are modified for ease of parameter estimation. Only the engine crankshaft velocity, the wheel rotational velocity, and the vehicle longitudinal speed are needed. The convergence of these estimators is analyzed. Simulations based on a dynamic simulator built with commercial vehicular simulation software, IPG CarMaker, and Matlab/Simulink show promising results.

AB - This paper presents an integrated estimation scheme for the effective engine torque in automotive systems. This leads to a cascaded estimation structure, composed of an adaptive parameter estimator for the augmented wheel dynamics and the longitudinal motion, and an unknown input observer for the engine crankshaft dynamics. The adaptive parameter estimator has the ability to track time-varying parameters and can therefore provide an estimate of the driving torque for the wheels. Then this estimated torque is transmitted to the engine as the load torque through the drivetrain, and is used to design the unknown input observer. The standard models of driveline and tyre friction are modified for ease of parameter estimation. Only the engine crankshaft velocity, the wheel rotational velocity, and the vehicle longitudinal speed are needed. The convergence of these estimators is analyzed. Simulations based on a dynamic simulator built with commercial vehicular simulation software, IPG CarMaker, and Matlab/Simulink show promising results.

KW - Engine torque estimation

KW - Automotive powertrain

KW - Tyre friction

KW - Unknown input observer

UR - http://www.scopus.com/inward/record.url?scp=85031773636&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2017.08.2487

DO - 10.1016/j.ifacol.2017.08.2487

M3 - Conference contribution

VL - 50

T3 - IFAC-PapersOnLine

SP - 11058

EP - 11063

BT - Proceedings of the 20th IFAC World Congress

ER -