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Abstract



Parameter Estimation for a Vehicle Longitudinal Model


System modelling has an important role in vehicle development cycles. Hardware field tests are often replaced by simulations, especially during the preliminary design stages. Although system modelling is a time consuming task, significant amount of the overall development time and resources can be reduced if an accurate model is available.

In order to develop a good simulation model, a sound method for parameterising the model is desired. A favourable parameter identification not only provides an accurate model, but also requires less resources both time-wise and monetarily.

In this thesis, a model for the longitudinal dynamics of a passenger vehicle is presented. Unknown parameters in the model are estimated and the model is validated with measurements obtained experimentally. It is anticipated that the model will be used in a dynamometer, where the longitudinal forces on the vehicle are simulated and the corresponding torques are exerted on the driving wheels.

Robin Karlsson

2015

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