This research focuses on improving electric vehicle suspension systems using optimal control design based on Grey Wolf Optimization (GWO). It integrates a PID Controller, optimized by the GWO algorithm, with a passive suspension system to better handle road disturbances. The goal is to enhance ride comfort and maintain consistent road-wheel contact by reducing the impact of surface irregularities. Additionally, the study compares the performance of the GWO-PID system with a Model Predictive Contol (MPC) system. The comparison is evaluated using the Integral-Time weighted Absolute-Error (ITAE) as the fitness function.