摘要
精确的路面数据对汽车平顺性研究至关重要,应用三角级数法能快速实现路面重构。汽车行驶时不平路面的激励使其产生随机振动,早期对汽车平顺性的研究多是基于线性假设,由于汽车的非线性造成了仿真与试验结果相差较大。三角级数法数学基础严密,适宜于任意路面的仿真。用Matlab软件编写了仿真程序,并把结果与标准功率谱密度进行了对比。在此基础上,对三维路面不平度进行了仿真,实现了路面的可视化。对某路面进行了测试,结果表明,三角级数法的仿真与试验结果比较吻合,该方法能提供准确的路面数据进行室内台架试验和控制策略的仿真研究。
Accurate road data is critical to vehicle ride comfort research. Road surface is reconstructed fast with trigonometric series method. Random vibration is produced by road roughness in driving condition. Most early researches were based on assumption of linearity and therefore simulation and experimental results differ largely because of nonlinearity of cars. Trigonometric series method is of rigorous mathematical foundation, and can be simulated for any road surface. Simulation programs were compiled by using Matlab software, and the results were compared with the same level of standard power spectral density. Three-dimensional road roughness was also simulated on the basis of two-dimensional results, which meant that visualization of road roughness was achieved. The simulation results agree well with the test data of a road after comparison. With this method the exact data can be provided for an indoor bench and the simulation on control strategies.
出处
《汽车工程学报》
2011年第5期442-447,共6页
Chinese Journal of Automotive Engineering
基金
纯电动商用车(M3/N3)动力系统平台技术攻关(2011AA11A223)
关键词
路面不平度
三角级数法
功率谱密度
仿真
road roughness
trigonometric series method
power spectral density
simulation
