基于HIL的车辆道路偏离预警系统测试及评价方法

Testing and Evaluation Methods of LDW System Based on HIL Technologies

随着汽车产业智能化的发展,车辆道路偏离预警系统(LDW)在越来越多的车辆上成为标准配置项。而为保证LDW系统在车辆发生偏移时能够准确的发出报警,就需要进行大量的试验,为了节约实车测试成本,采用虚拟仿真硬件在环(HIL)技术的仿真测试就显得尤为重要。基于HIL技术提出LDW的自动化测试方法,并通过自动化测试程序提出大量的报警点距车道线的距离数据,通过大数据分析、均方根、高斯拟合、正态分布等方法进行数据分析处理,最终在行业里首次提出采用“3σ”原则来评价车辆道路偏离系统的报警性能指标。

With the intelligent development of the automotive industry,the vehicle Lane Departure Warning(LDW)System has been a standard configuration on more and more vehicles.In order to ensure that the LDW system can warn the driver accurately,a large number of tests are required.Compared to the real vehicular test,the test based on HIL has more advantages on cost.This paper introduces an automated test method of LDW system based on HIL.The method can get a large number of distance data for warning points,using large data analysis method,root-mean-square method,Gaussian fitting method and normal distribution method to analysis the data.As a result,the paper put forward firstly in automotive industry using the"3σ"principle to evaluate the warning performance of the LDW.