Abstract
An analytical vehicle model is essential for the development of vehicle design and performance. Various vehicle models have different complexities, assumptions and limitations depending on the type of vehicle analysis. An accurate full vehicle model is essential in representing the behaviour of the vehicle in order to estimate vehicle dynamic system performance such as ride comfort and handling. An experimental vehicle model is developed in this article, which employs experimental kinematic and compliance data measured between the wheel and chassis. From these data, a vehicle model, which includes dynamic effects due to vehicle geometry changes, has been developed. The experimental vehicle model was validated using an instrumented experimental vehicle and data such as a step change steering input. This article shows a process to develop and validate an experimental vehicle model to enhance the accuracy of handling performance, which comes from precise suspension model measured by experimental data of a vehicle. The experimental force data obtained from a suspension parameter measuring device are employed for a precise modelling of the steering and handling response. The steering system is modelled by a lumped model, with stiffness coefficients defined and identified by comparing steering stiffness obtained by the measured data. The outputs, specifically the yaw rate and lateral acceleration of the vehicle, are verified by experimental results.
Highlights
The advancement of vehicle dynamics simulation capabilities has dramatically altered the vehicle development process over time
Theoretical analysis methods began as a means to provide fast and cost-effective alternatives to physical testing
A common simulation tool used for automotive applications is Automated Dynamic Analysis of Mechanical Systems (ADAMS).[2]
Summary
The advancement of vehicle dynamics simulation capabilities has dramatically altered the vehicle development process over time. Theoretical analysis methods began as a means to provide fast and cost-effective alternatives to physical testing. This often came at the expense of accuracy and high-resolution details. A common simulation tool used for automotive applications is Automated Dynamic Analysis of Mechanical Systems (ADAMS).[2] it is often difficult to obtain all of the data necessary to define and execute the computational model. In such cases, the model is often simplified. The lumped mass vehicle model with 14 degree of freedom (DOF) is usually three-dimensional and simple model.[3,4,5]
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