GOALI: Aging Propagation and Model-Based Prognosis for Interconnected Systems

该奖项的研究目标是开发一种方法，以了解由许多互连子系统和组件组成的工程系统中老化的传播，并通过开发工具和方法来预测寿命并了解插电式混合动力电动汽车电池组系统的健康状态。 研究的第一个目标是了解个体组件（例如：电池单元）转化为整个系统的老化。第二个目标是制定一个系统的方法，根据其组成部分的健康状况的知识，评估系统的健康状况。 由此产生的方法，然后证明使用插入式混合动力电动汽车电池组作为案例研究，与通用汽车公司合作。 可供选择的产品包括：电池组老化传播的数学模型和计算机模拟;寿命预测方法的实验验证，与通用汽车公司合作;研究生课程材料;以及为工业观众设计的短期课程。这项工作的结果将产生广泛的影响，理论，方法和应用程序的故障预测工程系统，超出了本项目中考虑的具体应用。通用汽车公司参与这个项目是至关重要的，因为它提供了一个机会，以验证和实施的方法，在现实世界的设置，提出了许多重要的挑战，如成本限制，应用到大量的系统（可能数百万辆车），并需要实现一定程度的鲁棒性，是符合今天的消费者的保修期望。如果这项关于互联系统老化传播和预测的研究取得成功，将大大有助于做出明智和及时的生命周期管理决策，降低保修和维护成本，同时提高可服务性，可用性和安全性。

The research objectives of this Grant Opportunity for Academic Liaison with Industry (GOALI) award are to develop a methodology to understand the propagation of aging in engineered system consisting of many interconnects subsystem and components, and to demonstrate it by developing tools and methods to predict life and understand the state of health of battery pack systems in plug-in hybrid electric vehicles. The first goal of the research is to understand how knowledge of the aging behavior of individual components (e.g.: battery cells) translates into overall system aging. The second goal is to develop a systematic approach to assess the state of health of the system based on knowledge of its components states of health. The resulting approaches are then demonstrated using a plug-in hybrid electric vehicle battery pack as a case study, in collaboration with General Motors. Deliverables include: mathematical models and computer simulations of aging propagation in a battery pack; the experimental validation of the life prediction methods, in collaboration with General Motors; graduate course materials; and a short course designed for industrial audiences. The outcome of this work will have a broad impact on the theory, methodology and application of failure prognosis to engineered systems, beyond the specific application considered in this project. The participation of General Motors in this project is critical in that it provides an opportunity to validate and implement the methodology in a real-world setting that presents many important challenges such as cost constraints, the application to a large number of systems (potentially millions of vehicles), and the need to achieve a degree of robustness that is consistent with today's consumer expectations of warranty. If this research on aging propagation and prognosis for interconnected systems is successful, it will greatly help in making informed and timely life cycle management decisions, reducing warranty and maintenance costs while improving serviceability, availability and safety.