A hybrid coupling scheme of parallel connection and contralateral cross-linking was proposed based on the characteristics of high centroid position and low rollover threshold on hydro-pneumatic suspension (HPS) for a seven-axle elevated platform vehicle. A dynamic model with 20 DOFs which can comprehensively reflect vehicle coupling vibration including vertical-lateral-longitudinal-transverse and the joint simulation model of Simulink and AMESim were established based on the structural characteristics of the vehicle. Furthermore, the random road surface model linking the wheels was constructed by filter shaping white noise. Based on the model of hybrid coupling HPS, the study of joint simulation and test on the whole vehicle were conducted, and improved ant colony algorithm (IACA) was applied to the multi-objective optimisation study of HPS parameter matching. The comparison between simulation and test data shows that the weighted acceleration PSD curve is in good agreement, and the relative error of weighted acceleration RMS is small, which indicated that the theoretical model was accurate. The results of simulation and testing show that the optimal parameter matching scheme output by IACA can improve vehicle ride comfort and stability to a significant extent.

基于七轴高架平台车液压气动悬架的高质心位置和低侧翻阈值的特点，提出了一种并联连接和对侧交联的混合耦合方案。根据车辆的结构特点，建立了具有20个自由度的动态模型，可以全面反映车辆的耦合振动，包括竖向-横向-纵向-横向；以及Simulink和AMESim的联合仿真模型。此外，通过过滤器整形白噪声构建了连接车轮的随机路面模型。基于混合耦合HPS模型，对整车进行了联合仿真和试验研究，将改进的蚁群算法（IACA）应用于HPS参数匹配的多目标优化研究。仿真与试验数据比较表明，加速度加速度PSD曲线吻合良好，加速度加速度RMS的相对误差较小，表明理论模型是正确的。仿真和测试结果表明，IACA输出的最优参数匹配方案可以在很大程度上提高车辆的乘坐舒适性和稳定性。