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To address the issue of large roll angle rates in the steadystate circular testing of a light commercial vehicle, its suspension system is optimized and improved. The multibody dynamics model of the vehicle is established using ADAMS/car. The accuracy of the suspension simulation model is verified by the antiphase parallel wheel travel test for the front suspension and theoretical calculations for the rear suspension. Through simulation analysis of the vehicle's steadystate circular test and oncenter steering test, it is concluded that the roll angle rate is higher than desired. To achieve the automated process of stability optimization analysis, a cosimulation method based on modeFRONTIER is proposed. Taking the suspension design parameters as optimization variables, and targeting the roll angle rate and yaw rate time delay as the optimization objectives, a hybrid agent model was fitted using the Latin hypercube experiment design method. This model was combined with the multiobjective particle swarm optimization algorithm (MOPSO) to carry out the multiobjective optimization of the suspension system, and the optimization scheme of the suspension system is obtained. The optimization results show that, while maintaining ride comfort, the roll angle rate is reduced by 13.93% and the yaw rate time delay is reduced by 2.75%, resulting in improved vehicle control and stability.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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