汽车悬架系统结构驾驶平顺性设计研究
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摘要
研究汽车悬架系统结构与驾驶平顺性相关问题,对于提高乘客的乘车体验以及车辆悬架参数合理性设计问题具有重要意义。其难点在于如何对所选取的车辆模型进行系统的平顺性评估。针对驾驶平顺性难以准确的评估的问题建立了一种将路面激励模型与汽车悬架系统模型相结合的汽车平顺性仿真分析模型。首先,对汽车驾驶平顺性的影响因素与评价标准进行了分析,建立平顺性评价的指标体系和评价模型,采用控制变量法研究了路面不平度、汽车车速对汽车驾驶平顺性的影响。其次,研究了悬架刚度系数与悬架阻尼系数对汽车行驶平顺性的影响。仿真结果表明,随着车速和路面不平度等级的增加,汽车的平顺性逐渐变差;随着悬架刚度系数与悬架阻尼系数增加,汽车平顺性也在一定程度发生变化。应用所建立汽车平顺性分析模型对车辆平顺性进行系统的评估,针对性的将相应参数进行改变,可使乘客获得更好地乘车舒适性。
The research on the structure of vehicle suspension system and the driving smoothness has important significance for improving the passenger riding experience and the rationality design of vehicle suspension parameters. The difficulty is how to systematically evaluate the smoothness of selected vehicle model. It is difficult to accurately evaluate driving smoothness. Therefore, a simulation analysis model of vehicle ride comfort based on combination of road excitation model and vehicle suspension system model was put forward. Firstly, influencing factors and evaluation criteria of driving smoothness were analyzed. Then, the index system of smoothness evaluation and evaluation model were established. Meanwhile, the control variable method was used to research the influence of road roughness and vehicle speed on vehicle ride comfort. Secondly, the influence of suspension stiffness coefficient and suspension damping coefficient on vehicle ride comfort was researched. Simulation results show that the vehicle ride comfort gradually gets worse with the increase of vehicle speed and road roughness. With the increase of stiffness coefficient and camping coefficient of suspension, vehicle ride comfort changes to a certain extent. The analysis model of vehicle ride comfort was used to evaluate the vehicle ride comfort. The corresponding parameters were changed with a clear aim, so that the passengers can get better ride comfort.
The research on the structure of vehicle suspension system and the driving smoothness has important significance for improving the passenger riding experience and the rationality design of vehicle suspension parameters. The difficulty is how to systematically evaluate the smoothness of selected vehicle model. It is difficult to accurately evaluate driving smoothness. Therefore, a simulation analysis model of vehicle ride comfort based on combination of road excitation model and vehicle suspension system model was put forward. Firstly, influencing factors and evaluation criteria of driving smoothness were analyzed. Then, the index system of smoothness evaluation and evaluation model were established. Meanwhile, the control variable method was used to research the influence of road roughness and vehicle speed on vehicle ride comfort. Secondly, the influence of suspension stiffness coefficient and suspension damping coefficient on vehicle ride comfort was researched. Simulation results show that the vehicle ride comfort gradually gets worse with the increase of vehicle speed and road roughness. With the increase of stiffness coefficient and camping coefficient of suspension, vehicle ride comfort changes to a certain extent. The analysis model of vehicle ride comfort was used to evaluate the vehicle ride comfort. The corresponding parameters were changed with a clear aim, so that the passengers can get better ride comfort.
引文
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[2] 章兰珠,王军. 汽车悬架对行驶平顺性的影响[J]. 华东理工大学学报(自然科学版), 2008,34(6):908-912.
[3] 李双,张鹏飞,刚宪约. 1/2汽车模型悬架动力学分析与性能优化[J]. 农业装备与车辆工程, 2013,51(7):36-40.
[4] 黄道田,黄道敏. 基于Matlab的车辆动力学仿真及实现[J]. 机电一体化, 2013,1(14): 71-76.
[5] 肖力军,李仁发. 基于ADAMS的汽车底盘仿真及悬架系统性能优化[J]. 系统仿真学报, 2006,18(7):2007-2010.
[6] 李爽. 主动悬架对汽车平顺性影响的仿真研究[D]. 沈阳:东北大学, 2014.
[7] S Yim, Y Park, K Yi. Design of active suspension and electronic stability program for rollover prevention[J]. International Journal of Automotive Technology, 2010,11(2):147-153.
[8] 吴志成,等. 基于有理函数的路面不平度时域模型研究[J]. 北京理工大学学报, 2009,29(9):795-798.
[9] C L Xia, C Guo, T N Shi. A new algorithm for dynamic decoupling control of HPMSM using fuzzy controllers[C]. IEEE International Conference on Industrial Electronics and Application, Singapore, 2008:1031-1035.
[10] 郭大勇,王锋,赵河明.基于MATLAB/simulink汽车悬架系统仿真[J]. 机械工程与自动化, 2016,4(2):79-80.