基于遗传算法的V型皮带CVT参数优化及试验验证

Parameter Optimization and Experimental Verification of V-belt CVT based on Genetic Algorithm

为了使V型皮带CVT匹配巴哈赛车(BAJA SAE)工况以及发动机特性,对其关键参数进行优化。建立了某V型皮带CVT力学模型,分析了CVT调速特性并在Matlab建模仿真;采用遗传算法以提升动力性为目标对CVT关键参数进行优化;搭建台架进行试验验证。结果表明,仿真结果与试验数据基本一致,CVT传动比变化符合赛车行驶工况,发动机始终工作在峰值转矩及功率对应转速范围(2800~3600 r/min),整车的动力性得到明显提升。该研究对V型皮带CVT的参数匹配及优化有一定的指导作用。

In order to make the V-belt CVT match the Racing Baja condition and engine characteristics,its key parameters are optimized.A V-belt CVT mechanical model is established,and the CVT speed regula⁃tion characteristics are analyzed and simulated in Matlab.The genetic algorithm is used to optimize the key pa⁃rameters of CVT with the aim of improving the power.The bench is set up for test verification.The test results show that the simulation results are basically consistent with the test data.The CVT transmission ratio changes according to the actual working conditions,and the engine always works in the peak torque and power corre⁃sponding speed range(2800~3600 r/min),and the vehicle power performance is significantly improved.This study has a certain guiding role in the parameter matching and optimization of V-belt CVT.