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

GOALI学术联络机会奖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和了解插电式混合动力汽车中电池组系统的健康状态来证明这一点。这项研究的第一个目标是了解单个组件(例如：电池)的老化行为如何转化为整个系统的老化。第二个目标是根据对该系统各组成部分健康状况的了解，制定一种系统办法来评估该系统的健康状况。然后，与通用汽车公司合作，以插电式混合动力汽车电池组为案例研究，展示了所产生的方法。交付内容包括：电池组老化传播的数学模型和计算机模拟；与通用汽车公司合作对寿命预测方法进行实验验证；研究生课程材料；以及为工业受众设计的短期课程。这项工作的结果将对工程系统故障预测的理论、方法和应用产生广泛的影响，而不仅仅是本项目考虑的具体应用。通用汽车参与这个项目至关重要，因为它提供了一个在现实世界中验证和实施该方法的机会，该环境带来了许多重要挑战，如成本限制、对大量系统(可能是数百万辆汽车)的应用，以及实现与当今消费者对保修的期望一致的健壮性程度的需要。如果互联系统老化传播和预测的研究取得成功，将极大地帮助做出明智和及时的生命周期管理决策，在提高适用性、可用性和安全性的同时，降低保修和维护成本。

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.