Study of a Car Suspension System Under Uncertainties

Car suspension dynamic behavior under uncertainty is a multidisciplinary field of study that aims to understand and predict a vehicle’s performance in various operating conditions, as well as a complex one since it is a system that interacts with its environment. The robustness of such systems requires a careful understanding of the system design parameters and the parameters of the other interacting systems. Uncertainty in this context refers to the lack of knowledge of the various factors influencing the car’s behavior, such as road profile conditions, tire properties, suspension characteristics, and driver inputs. In this paper, a simplified model of quarter-car suspension was represented. The road profile was defined using an ISO norm. In this study, we examined the impact of a few uncertain parameters on the dynamic behavior of a quarter-vehicle suspension system. The robustness of the design was assessed using two methods, notably deterministic and probabilistic, including Monte Carlo and Polynomial Chaos respectively. The results show a good agreement between these two techniques but with a very different simulation duration.