基于协同仿真技术的车辆非线性平顺性分析

汽车悬架中存在多种非线性因素,采用非线性模型的时域求解可获得更准确的平顺性分析结果. 考虑到单一软件的局限性,本文采用协同仿真技术分析非线性车辆模型的平顺性. 用机械系统软件ADAMS建立汽车多体模型,并用MATLAB/Simulink的S函数建立路面模型、轮胎模型和驾驶员模型. 以随机生成的路面不平度数据为输入,在Simulink环境下建立协同仿真模型并完成车辆非线性模型的时域求解. 给出了平顺性协同仿真算例,并根据响应量时间历程数据计算了簧载质量加权加速度均方根值和车轮动载均方根值. 平顺性分析结果表明该协同仿真方法合理、可靠,满足非线性车辆模型的平顺性时域分析需要.

Nonlinear ride analysis of vehicles based on co-simulation

Due to various nonlinear factors in vehicle suspension, the time domain method applicable to solve a nonlinear model can obtain more accurate ride analysis results. Considering the limitation of single software, the concurrent simulation technique was adopted to analyze the ride performance of a nonlinear vehicle model. The nonlinear vehicle model was built using mechanical system simulation software ADAMS. The road surface model, tire model and driver model were constructed using S function in the MATLAB/Simulink. With the randomly generated road data as input, the simulation model was built and run under the MATLAB/Simulink. The results were imported to ADAMS. An example of ride analysis based on co-simulation was given, and the root mean square value of weighted acceleration on sprung mass and tire dynamic loads was calculated according to the data of time history response. The results of ride analysis show that the co-simulation approach is reasonable and reliable and turns out to be adequate for time-domain ride analysis of a nonlinear vehicle model.