Stability augmentation system of active suspension system in electric vehicle conversion: Towards optimal ride comfort performance

Abstract

This paper present a study on ride comfort performance of passenger vehicle converted into an electric vehicle. The studies used a validated 7 degrees of freedom of vehicle’s ride model. The validated simulation model was integrated with the active suspension system controlled by the stability augmentation system (SAS) algorithm which its tuning method is described. Systematic tuning procedures are proposed to tune the parameters value in the SAS algorithm. The genetic algorithm optimization method was also used in searching the values for the parameters in the algorithm. The performance of the manually tuned SAS active suspension system is also compared with the SAS system tuned by the genetic algorithm. It was found that the EV conversion’s ride comfort with the SAS active suspension system was significantly improved when compared to the EV conversion with the passive suspension system. It was also found that the SAS-controlled active suspension system, tuned manually, is having a similar ride comfort performance to system which was tuned by the genetic algorithm.