期刊文献+

自动紧急制动系统测试设备开发和应用研究 被引量:5

Development and application of test equipment for the automatic emergency braking system
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摘要 随着主动安全技术的快速发展,自动紧急制动(AEB)系统在减少追尾碰撞事故中发挥了重要的作用,但是各款车辆配置的AEB系统各有差异。为了测试和评价AEB系统的性能,文中根据中国新车评价规程(C-NCAP)的测试要求和方法,开发了测试AEB系统的设备和控制系统;通过对各子系统的控制参数进行调试,以及借助无线通信技术实现了各子系统的协同工作;经过多次的试验使其测试结果满足了C-NCAP的精度要求。最后,利用此测试设备在前方目标车静止的工况下,对5款车辆的AEB性能进行了场地测试。试验结果表明,所开发的AEB测试设备能够按照预期的目标进行工作,且能对车辆的AEB性能进行有效的测试。 With the rapid development of the active safety technology,the automatic emergency braking(AEB) system plays an important role in reducing the number of rear-collision accidents. However,the AEB system is different for each vehicle. In this article,in order to detect and evaluate the performance of the AEB system,both the rest equipment and the control system are worked out according to the test requirements and methods specified in China New Car Assessment Program(C-NCAP).With the help of the wireless communication technology,the subsystems cooperatively work after their control parameters are debugged;based on a series of test,the error meets the requirements issued by C-NCAP. Finally,some field tests are conducted to detect the performance of the AEB systems of five vehicles in the scenario of car-to-car rear static(CCRs). The results show that the test equipment can work smoothly in order to get desirable outcomes and effectively detect the AEB performance of target vehicle.
作者 宋志强 曹立波 吴俊 邱洋迪 SONG Zhi-qiang;CAO Li-bo;WU Jun;QIU Yang-di(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha 410082;Shenzhen Research Institute,Hunan University,Shenzhen 518057;Department of Mechanical Engineering,School of Engineering and Design,Hunan Normal University,Changsha 410012;Changsha Lizhong Automobile Design and Development Limited Company,Changsha 410205)
出处 《机械设计》 CSCD 北大核心 2020年第2期32-38,共7页 Journal of Machine Design
基金 深圳市科技研发专项资金资助项目(JCYJ 20160530192230252) 长沙市科技成果转化资助项目(kq1901026) 大学生研究性学习和创新性实验计划资助项目(B160200115).
关键词 自动紧急制动 新车评价规程 测试设备 驾驶机器人 目标检测 AEB NCAP test equipment driving robot target detection
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