Due to problems related environmental pollution and fossil fuels consumption that have not infinite availability, the automotive sector is increasingly moving towards electric powertrains. The most limiting aspect of this category vehicles certainly battery pack, regarding difficulty in obtaining high range with good performance low weights. aim work provide a simulation tool, which allows for ...

Rapid advances have been made in the field of vehicle dynamics in terms of improving the ride, handling and safety using actuators and control systems. Optimising a vehicle’s ride comfort or handling has led to the development of semi-active suspension systems. Anti-lock braking systems (ABS) have resulted in significant improvements in vehicle braking whilst maintaining directional control ove...

In this study, stability control of a three-wheeled vehicle with two wheels on the front axle, a three-wheeled vehicle with two wheels on the rear axle, and a standard four-wheeled vehicle are compared. For vehicle dynamics control systems, the direct yaw moment control is considered as a suitable way of controlling the lateral motion of a vehicle during a severe driving maneuver. In accorda...

H-output feedback control is applied to the control of automobile active suspensions based on a dynamic model of the full vehicle. The output feedback control is desirable from the viewpoint of implementation in the sense that it reduces the number of measurements drastically compared with state feedback used currently in suspension control. In this paper, the authors show that a linearized mod...

A common viewpoint in both academia and industry is that that Verification, Validation and Uncertainty Quantification (VV&UQ) of simulation models are vital activities for a successful deployment of model-based system engineering. In the literature, there is no lack of advice regarding methods for VV&UQ. However, for industrial applications available methods for Uncertainty Quantification (UQ) ...

This paper describes a local planning, control and learning framework enabling high-speed autonomous groundvehicle traversal of rough 3D terrain replete with bumps, berms, banked-turns and even jumps. We propose an approach based on fast physical simulation and prediction, which we find offers numerous benefits: first, it takes advantage of the full expressiveness of the inherently non-linear, ...