This study presents a method for predicting vehicle suspension component loads at the early design stage. A hybrid road simulation combines road load data acquired from a reference vehicle with the Time Waveform Replication (TWR) technique to generate virtual equivalent road profiles. The TWR was implemented in Python, and a multibody dynamics vehicle model developed using Modelon's Vehicle Dynamics Library was used to simulate chassis response. Integration and iterative simulation between the TWR system and the vehicle model were conducted via Functional Mock-up Units using the Python FMI library, FMPy. These virtual inputs were applied to a virtual test rig. In this study, road load data from a reference vehicle were used to derive the input signals, which were then applied to simulate the suspension loads of a target vehicle. Simulation results were validated against measurement data to confirm the effectiveness of the proposed method.