一切车辆(V2X)技术正在快速发展,它将很快改变我们的驾驶体验。车辆采用车载单元(OBU)与各种V2X设备进行交互,这些数据用于计算和检测。安全,效率,信息服务是其核心用途之一,目前处于测试阶段。开发人员在实际现场测试期间收集日志,以查看应用程序是否公平。现场测试,另一方面,效率低,覆盖范围,可控性,和稳定性,以及无法重现极端危险的场景。实际道路测试的缺点可以通过室内测试来弥补。本研究建立了基于HIL的实验室模拟测试框架,用于V2X相关测试,以及相关的测试用例和测试评估系统。该框架可以测试常见的应用程序,如前向碰撞警告(FCW)、交叉口碰撞警告(ICW)及其他,以及更先进的功能,如合作自适应巡航控制(CACC)测试和全球导航卫星系统(GNSS)注入测试。测试结果表明,该框架(CarTest)具有可靠的输出,可重复性强,模拟严重危险情景的能力,并且是高度可扩展的,根据这项研究。同时,为了研究人员的利益,本出版物重点介绍了几个相关的HIL挑战和解决方案。
Vehicle to Everything (V2X) technology is fast evolving, and it will soon transform our driving experience. Vehicles employ On-Board Units (OBUs) to interact with various V2X devices, and these data are used for calculation and detection. Safety, efficiency, and information services are among its core uses, which are currently in the testing stage. Developers gather logs during the real field test to see if the application is fair. Field testing, on the other hand, has low efficiency, coverage, controllability, and stability, as well as the inability to recreate extreme hazardous scenarios. The shortcomings of actual road testing can be compensated for by indoor testing. An HIL-based laboratory simulation test framework for V2X-related testing is built in this study, together with the relevant test cases and a test evaluation system. The framework can test common applications such as Forward Collision Warning (FCW), Intersection Collision Warning (ICW) and others, as well as more advanced features such as Cooperative Adaptive Cruise Control (
CACC) testing and Global Navigation Satellite System (GNSS) injection testing. The results of the tests reveal that the framework (CarTest) has reliable output, strong repeatability, the capacity to simulate severe danger scenarios, and is highly scalable, according to this study. Meanwhile, for the benefit of researchers, this publication highlights several relevant HIL challenges and solutions.