Evaluation of ride comfort by data-driven virtual sensing of unsprung mass vertical velocity
P.P.H. Guruprasad (TU Delft - Mechanical Engineering)
B. Shyrokau – Mentor (TU Delft - Intelligent Vehicles)
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Abstract
The speed of the unsprung mass has a direct effect on the comfort of the ride. Too much unsprung mass movement and high speeds can make the ride rough and uncomfortable by sending vibrations and other disturbances to the people inside the car. By getting an accurate estimate of the speed of the unsprung mass, the suspension system can adjust the damping forces to better absorb uneven road surfaces, reducing vibrations and making the ride more comfortable. In active suspension, controllable actuators are installed between the unsprung and sprung mass. However, incorporating sensors into suspension introduces complexity to the system and increases the vehicle’s mass, production, and maintenance costs. Further, there are unmeasurable or complex quantities which make sensing more difficult. The use of virtual sensing offers a useful opportunity for estimating suspension parameters that are not directly measurable or complex to measure. This research aims to reduce the complexity of a system through the development of virtual sensor using parameters that can be easily measured. This developed virtual sensor is then incorporated in a suspension controller to estimate the effect on the ride comfort of a vehicle.