Vehicle Dynamics Parameter Design Using Different Optimization Techniques

  • Rahan Rasheed Khan
  • Gohar Ali
  • F. Shahid
  • Asma Khan



 Car Design Optimization deals with the optimal structural design of multipart engineering systems which require parameters that dealing amongst the disciplines. In this paper we used optimization techniques to optimize the aerodynamics of a car to reduce drag and drift that optimize design to reduce lap time. Our execution involves seven different design parameters that is weight scattering, aerodynamic downward force scattering, mass of vehicle, height of center of gravity, radius of track, weight scattering along width and roll stiffness coefficient. The objective is to determine car parametric coefficient that minimizes lap time while satisfying yaw balance constraint. In order to achieves that several techniques is used such as Simulated Annealing, Particle Swarm optimization technique and Genetic Algorithm. Results from different techniques is obtained in this part of research as to explore suitable technique for this type of problem. Previous work which we took as our reference paper is only considered three variables that is weight scattering, weight scattering along width and roll stiffness. While we are taking into consideration seven aspects of the car, the additional four are downward force, mass of vehicle, height of center of gravity of vehicle and radius of the track. These variables also play a vital role in the speed of the car or how quick it performs turn without going into a risky condition.