Vehicle dynamics

The world’s transportation system is transitioning from traditional internal combustion engine vehicles to a new category of intelligent electric and hybrid vehicles with advanced technologies that offer vastly enhanced driver/passenger experiences in vehicle manipulation with increased information flow.

Overview

In an effort to build the next generation of modern vehicles, it is critical for the automotive industries to develop sophisticated on-board vehicle mechatronics architectures with embedded systems. 

With the emergence of electric and hybrid electric vehicles, the adoption of advanced stability and safety control technologies such as torque-vectoring, control allocation, active cruise control, collision avoidance and emergency braking is much easier because of the electric drive motors in such vehicles.

However, precise actuation of these controllers requires accurate information of the vehicle dynamics which can be obtained by sophisticated estimation algorithms. Hence, developing a method of accurately estimating the vehicle states using cost-effective configurations of on-board vehicle sensors and extra information sources is of great importance for automotive industries.

Research areas

Accordingly, our research focuses on:

  • Development of advanced stability and safety control techniques in order to improve significantly the performance of modern vehicles in terms of safety, comfort, drivability and other important characteristics
  • Development of advanced fault-tolerant vehicle estimation algorithms in order to improve the real-time performance of embedded vehicle controllers
  • Hardware-in-the-loop and experimental verification of control and estimation algorithms.