摘要
对汽车盲点监测(Blind Spot Detection,BSD)系统的性能测试方法进行设计。采集实际道路下BSD系统的故障场景,分析影响BSD系统性能的潜在失效工况;对典型场景进行分类并划分权重,最后利用Car Maker软件进行建模,设计等效车辆百万公里验证的BSD系统加速测试方法,并实施验证。研究结果表明,该方法可对BSD系统在场地及实际道路测试前进行仿真验证,并评价BSD系统性能,以降低整体开发成本。
In order to improve the performance of the vehicle blind spot detection system, the testing scenes and acceleration testing methods were designed. Firstly, the BSD failure scenes were collected on actual roads and the potential failure conditions that affect the performance of the BSD system were analyzed. The typical scenes were classified and weighted, and finally, the failure scene database was modeled by using the CarMaker simulation software. The paper designed and validated the acceleration testing method of the BSD system for the equivalent-vehicle million-kilometer performance verification. The acceleration testing method proposed in this paper can be used to simulate and verify the BSD system before the field testing and the actual road testing and the performance evaluation provided for the BSD system can reduce the overall development cost.
作者
李卫兵
李娟
李东浩
孙涛
吴贤静
LI Weibing;LI Juan;LI Donghao;SUN Tao;WU Xianjing(Anhui Province Key Laboratory of Intelligent Connected Technology,Technology Center of Jianghuai Automobile Co.,Ltd,Hefei 230091,China)
出处
《汽车工程学报》
2018年第5期366-372,共7页
Chinese Journal of Automotive Engineering
基金
安徽省科技重大专项计划项目(15CZZ02037)
