Enhancing ride comfort is a key objective in the development of modern vehicles, particularly those featuring advanced electric architectures. This research proposes an innovative control strategy based on Nonlinear Model Predictive Control, designed to operate two actuators: a linear electromechanical actuator for an active suspension system and an in-wheel electric motor. By employing a single predictive model, the proposed solution reduces complexity and computational cost while maintaining high performance. Two implementations are presented: i) a fixed-step prediction horizon controller; ii) a real-time capable variable-step prediction horizon controller. The controllers have been implemented and tested in MATLAB/Simulink using a half-car vehicle model, with tire dynamics simulated through Siemens MF-Swift.