涡轮增压火花点火发动机系统的真实仿真试验台：故障诊断算法和策略评估平台
A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies
摘要：
近年来，对高度非线性动态系统（如车辆发动机）的故障诊断研究引起了人们的极大兴趣，特别是随着汽车行业朝着自动驾驶技术的方向发展。本文提出了一种新的开放源码模拟试验台的涡轮增压火花点火（TCSI）汽油发动机系统的测试和评估的残差生成和故障诊断方法。使用Matlab/Simulink设计和开发，用户使用GUI界面与测试台进行交互，可以使用工业标准驾驶循环（如全球统一轻型车辆测试程序（WLTP），新欧洲驾驶循环（NEDC），城市外驾驶循环（EUDC）和EPA联邦测试程序（FTP-75））真实地模拟发动机。发动机建模使用的平均值发动机模型（MVEM），并使用比例积分（PI）为基础的升压控制器控制。GUI界面还允许用户诱发感兴趣的11个故障之一，以便更好地了解它们对发动机性能的影响。如果在实际物理系统上进行测试，这将对发动机造成永久性损坏并缩短其使用寿命的风险降至最低。该模拟试验台将作为一个优秀的平台，研究人员可以在其中生成关键数据，以开发和比较当前和未来的汽车发动机系统故障诊断研究方法。
英文摘要：
Research on fault diagnosis on highly nonlinear dynamic systems such as the engine of a vehicle have garnered huge interest in recent years, especially with the automotive industry heading towards self-driving technologies. This article presents a novel opensource simulation testbed of a turbocharged spark ignited (TCSI) petrol engine system for testing and evaluation of residuals generation and fault diagnosis methods. Designed and developed using Matlab/Simulink, the user interacts with the testbed using a GUI interface, where the engine can be realistically simulated using industrial-standard driving cycles such as the Worldwide harmonized Light vehicles Test Procedures (WLTP), the New European Driving Cycle (NEDC), the Extra-Urban Driving Cycle (EUDC), and EPA Federal Test Procedure (FTP-75). The engine is modeled using the mean value engine model (MVEM) and is controlled using a proportional-integral (PI)-based boost controller. The GUI interface also allows the user to induce one of the 11 faults of interest, so that their effects on the performance of the engine are better understood. This minimizes the risk of causing permanent damages to the engine and shortening its lifespan, should the tests be conducted onto the actual physical system. This simulation testbed will serve 16 as an excellent platform where researchers can generate critical data to develop and compare current and future research methods for fault diagnosis of automotive engine systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
