Objective During service, running tires of straddle monorail vehicles experience severe uneven wear, which not only leads to increased energy consumption and higher operation-maintenance costs, but also reduces tire adhesion capability, seriously affecting the safety and stability of vehicle operation. To effectively control the uneven wear of above-mentioned running tires, it is necessary to explore optimization measures to improve the tire performance and service life.

Method Current research status of tire wear for straddle monorail vehicles is elaborated. A spatial coupled dynamic model of straddle monorail vehicles based on UA tires (University of Arizona tire model) is established, and evaluation indices for uneven wear of running tires are defined. Taking the wear factor of running tires as the optimization objective, an improved genetic algorithm is adopted. Using a co-simulation approach combining the spatial coupled dynamic model of straddle monorail vehicles with the multi-disciplinary optimization platform ModeFRONTIER, a study on the parameter optimization and matching of straddle monorail vehicle is carried out. An optimal suspension system scheme is selected from three relatively ideal ones and verified in terms of dynamics performance.

Result & Conclusion  Through optimization of suspension system parameters, the tire wear factor of the straddle monorail vehicle running tires is reduced by 10.2% compared with that before optimization. The finally recommended optimization scheme meets the requirements of vehicle dynamics performance, achieving effective control on the uneven wear of running tires while maintaining operational stability and safety.