基于虚拟试验场仿真技术的对标精度研究  

Calibration Accuracy Based on Virtual Proving Ground Simulation Technology

作  者:何伟 张承伟 曹辉煌 HE Wei;ZHANG Chengwei;CAO Huihuang(China Automotive Engineering Research Institute,Chongqing 401120,China;School of Vehicle Engineering,Chongqing University of Technology,Chongqing 400054,China)

机构地区:[1]中国汽车工程研究院,重庆401120 [2]重庆理工大学车辆工程学院,重庆400054

出  处:《重庆交通大学学报(自然科学版)》2025年第3期105-111,共7页Journal of Chongqing Jiaotong University(Natural Science)

摘  要:耐久性能仿真精度与输入载荷精度强相关,传统的路谱迭代所输出的载荷虽然能满足耐久性能开发的精度要求,但是迭代依赖于实车进行路谱采集,花费时间周期长,且不能在项目开发前期为结构设计提供有力参考。虚拟试验场技术(VPG)可以提取载荷作为耐久开发的输入,其高效性和经济性是传统疲劳载荷迭代所远不能及的,然而VPG精度是否满足耐久性能开发需进行整车载荷对标研究。因此基于VPG技术在ADAMS中建立整车动力学模型,并基于实车采集的路谱数据和悬架K&C试验数据进行VPG对标,通过对扭曲路和比利时路的对标结果的分析,验证了VPG技术可在车辆开发前期为疲劳耐久性能开发提供精度可靠的载荷输入。The durability performance simulation is strongly correlated with the accuracy of the input load.The output load of the traditional road spectrum iteration can meet the accuracy requirements of endurance performance development,but the iteration relies on the real vehicle for road spectrum acquisition,which takes a long period of time,and cannot provide a strong reference for structural design in the early stage of project development.Virtual proving ground(VPG) can extract loads as the input of durability development,and its efficiency and economy are far beyond the reach of traditional fatigue load iteration.However,whether the accuracy of VPG meets the durability development needs to be studied.Therefore,based on VPG technology,a whole vehicle dynamics model was established in ADAMS,and VPG calibration was carried out on the basis of road spectrum data and suspension K&C test data collected from real vehicles.Through the analysis of calibration results of twisted road and Belgian road,it is verified that VPG can provide accurate and reliable load input for the development of fatigue durability performance in the early stage of vehicle development.

关 键 词:车辆工程 虚拟试验场 载荷输入 疲劳耐久 载荷精度 

分 类 号:U463[机械工程—车辆工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象