GOALI: Model-Based System Fault Diagnosis and Prognosis - Passive Robustness and Aging Prediction - Application to automotive electrical systems

该奖项的研究目标是开发改进复杂工程系统的诊断和预后的方法。现实世界中的系统天生就容易受到故障的影响，通过测量信号可以获得有关组件和过程异常行为的信息。这项研究的目的是利用传感器信号提供的信息以及对复杂系统物理行为的深入了解来创建一个统一的框架，用于系统设计诊断和预测算法以及预测系统老化。今天，几乎没有关于系统预测和衰老的一般性结果；如果研究成功，将产生足够普遍的方法，适用于不同领域的工程系统，例如汽车、航空航天、化学工艺和制造。该项目的成果包括设计和分析诊断算法的软件、实验数据、数学模型和工程专业学生的教材。该GOALI项目是与主要汽车制造商通用汽车密切合作进行的，旨在将新方法应用于汽车电气系统的诊断以及汽车电池的预测和寿命预测。如果成功，这项研究将大大提高未来汽车电气和能量存储系统的可靠性。这可能最终会降低保修成本，提高客户满意度，有可能触动全球数百万车主。这项研究还可能对加快未来电动汽车和混合动力汽车引入先进的电力和能量存储系统产生积极影响，因为它们提高了可靠性和可维护性。此外，该项目的教育成果将影响到两所主要大学的本科生和研究生，以及通过远程教育计划在汽车行业实习工程师。

The research objective of this award is to develop methods for improving the diagnosis and prognosis of complex engineered systems. Real world systems are inherently subject to faults, and information on abnormal behavior of components and processes can be obtained through measured signals. The aim of this research is to exploit the information provided by sensor signals together with deep knowledge of the physical behavior of a complex system to create a unified framework for the systematic design of diagnostic and prognostic algorithms and for the prediction of system aging. Today, there are few, if any, general results concerning system prognosis and aging; the research, if successful, will result in methods that are general enough to be applied to engineered systems in different domains, for example automotive, aerospace, chemical processes and manufacturing. Deliverables for this project include software for the design and analysis of diagnostic algorithms, experimental data, mathematical models, and educational materials for engineering students.This GOALI project is conducted in close collaboration with a major automotive manufacturer, General Motors, and aims to apply the new methodology to the diagnosis of automotive electrical systems and to the prognosis and life prediction of automotive batteries. If successful, the research will result in significantly greater reliability of future automotive electrical and energy storage systems. This may eventually result in reduced warranty costs and increased customer satisfaction, with the potential of touching millions of automobile owners around the world. The research may also have a positive impact on accelerating the introduction of advanced electrical and energy storage systems in future electric and hybrid automobiles by increasing their reliability and serviceability. Further, the educational outcomes of the project will affect undergraduate and graduate engineering students at two major universities as well as practicing engineers in the automotive industry through distance education programs.