Nonlinear ride analysis of vehicles based on co-simulation
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摘要: 汽車懸架中存在多種非線性因素,采用非線性模型的時域求解可獲得更準確的平順性分析結果.考慮到單一軟件的局限性,本文采用協同仿真技術分析非線性車輛模型的平順性.用機械系統軟件ADAMS建立汽車多體模型,并用MATLAB/Si mulink的S函數建立路面模型、輪胎模型和駕駛員模型.以隨機生成的路面不平度數據為輸入,在Si mulink環境下建立協同仿真模型并完成車輛非線性模型的時域求解.給出了平順性協同仿真算例,并根據響應量時間歷程數據計算了簧載質量加權加速度均方根值和車輪動載均方根值.平順性分析結果表明該協同仿真方法合理、可靠,滿足非線性車輛模型的平順性時域分析需要.Abstract: 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, anti 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.
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Key words:
- vehicle dynamics /
- ride /
- nonlinear model /
- co-simulation
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