Speaker
Description
Air suspension modeling is critical for estimating the NVH characteristics of chassis modules and full vehicles. However, accurate analytical modeling remains challenging because air suspensions exhibit inherently nonlinear behavior, and their force transmissibility varies with excitation amplitude. In previous research, a modeling technique was developed to predict the component-level behavior of an air suspension. Although the model showed reasonable agreement in component-level analysis, its predictive capability was limited when applied to chassis-level transmissibility prediction under varying loading conditions.To address this limitation, this study proposes a hybrid modeling approach that incorporates component test results into an analytical model for chassis module analysis. By integrating experimentally identified characteristics into the model, the proposed approach more effectively captures the load-dependent force transmissibility of the air suspension than conventional analytical modeling alone. The developed model was applied to the prediction of chassis module transmissibility, and its validity was confirmed through correlation with experimental results. The results indicate that the proposed approach improves the agreement between predicted and measured NVH characteristics of chassis modules equipped with air suspension.