hydro-pneumatic suspension, kepler optimization algorithm (koa), vehicle ride comfort, parameter matching, nonlinear characteristics, Industrial engineering. Management engineering, T55.4-60.8, Industrial directories, T11.95-12.5

This article proposes a method for matching parameters of hydro-pneumatic suspension with the goal of improving the vehicle ride comfort of mine cars. Considering the nonlinear characteristics of the hydro-pneumatic suspension, a 7-DOF dynamic model is established for the entire vehicle, The Kepler optimization algorithm is applied for parameter matching and simulation analysis of the hydro-pneumatic suspension based on vehicle ride comfort. Comparative verification shows that compared with the fitness functions of other algorithms, the KOA algorithm converges the fastest and has the highest precision in obtaining the optimal solution. After matching, there is a significant reduction in the suspension dynamic deflection, with the degree of attenuation for the four wheels at approximately 55.13%, the attenuation of vehicle body acceleration reduced by 12.7%, and the reduction in wheel dynamic load at around 10%, with a minimum of 3.16% for the right rear wheel and a maximum of 16.62% for the right front wheel. The KOA optimization algorithm exhibits significant advantages in parameter matching of hydro-pneumatic suspensions, resulting in a noticeable improvement in vehicle ride comfort.