Coupling analysis and optimization of commercial vehicles cab comfort with multi-platform integrated calculation

This article introduces a rigid-flexible coupling calculation model based on a multi-platform integrated method to analyze and optimize the cab comfort of commercial vehicles. A 12 degree-of-freedom (DOF) vibration model is first derived by Lagrange's equations. Further, a refined cab with flexible body, bushing, and nonlinear damping is constructed and connected with the vibration model to form a novel dynamics model. Next, the coupled suspend parameters on cab vibration are explored with a Latin hypercube method, which concluded that the front suspend is the most significant component for cab comfort. The multi-objective genetic algorithm (MOGA) and multiverse optimizer (MVO) is then applied to obtain the optimal suspend parameters for ideal cab comfort. Finally, the optimization is verified via simulation and experiment, illustrating that the coupling calculation model and multi-platform integrated method can provide an effective approach to excavate the optimal solution for the optimization of high-complexity engineering problems.

Automated summary

This article introduces a rigid-flexible coupling calculation model and multi-platform integrated method to analyze and optimize the cab comfort of commercial vehicles. The study found that the front suspension is the most significant component affecting cabin comfort, and optimal suspension parameters were obtained using multi-objective genetic algorithm and multiverse optimizer.