Online Diagnosis and Lifetime Prognosis of Next Generation Energy Storage Systems

1. 电力已成为我们日常运营的必需品，由于维护良好的电网通常更能抵御故障，因此电力的不可用可能会导致可以避免的不良后果。因此，本研究计划的目的是开发故障弹性储能技术。建立先进的可靠性框架将带来新的科学工具，加速它们在电网整合和电力运输中的部署。因此，下一代储能设备的日历老化是开发新型故障诊断和故障预测工具的关键。一旦确定了这些故障预测因素，就可以开发出先进的方法来最大限度地减少这些部件的老化前兆，从而延长其使用寿命。开发的技术将为自我监测智能储能系统提供基础，该系统可以在早期阶段识别故障前兆，从而帮助防止灾难性故障。其目的是研究早期故障，开发在线故障诊断/故障预测工具，为未来能源系统建立预警系统。储能设备的快速和广泛部署引起了对可靠性的重大关注，特别是对安全关键系统。持续监测这些系统对于防止意外停机和悲剧性故障至关重要，这些故障可能导致致命事故或运营中的重大损失。目前的诊断工程工具还不够成熟，无法实时检测或识别故障前兆，导致储能系统的可靠性存在重大差距。为了可靠地推动这些技术的发展，本研究项目研究了储能设备的众多退化过程，以开发新的在线退化监测工具，提高能源系统的整体可靠性。开发的工具将为自我监测的智能能源系统提供自主的早期故障诊断和健康评估。更广泛的影响专业知识和研究成果将有利于广泛的运输和能源部门。然而，考虑到可再生能源的广阔市场，工业效益可能远远超出这些部门，并蔓延到其他快速增长的领域。拟议的研究计划将加速从学术研究向工业部门的技术转移，例如，知识产权将成为知识产权核心专利申请的主题。国际公司，如ABB、Vestas、Senvion、Adelser等，以及加拿大公司，如TM4、BRP、Gentec、NovaBus、Hewitt和Opal-RT Technologies等，都是已开发技术的主要消费者。

1. OverviewElectricity has become a necessity in our daily operations and its unavailability may result in undesirable consequences that can be avoided since a well-maintained power grid is generally more resistant to failure. Hence, the aim of this research program is the development of fault-resilient energy storage technologies. Establishing an advanced reliability framework would lead to new scientific tools, accelerating their deployment in grid integration and electric transportation. For that, calendar aging of both next generation energy storage devices is an instrumental key for the development of new fault diagnosis and failure prognosis tools. Once these failure predictors are determined, advanced methods can be developed to minimize aging precursors on these components for their lifetime extension. The developed technologies will provide a foundation for self-monitoring smart-energy storage systems that can recognize failure precursors at an early stage and thus help prevent catastrophic failures.2. Intellectual meritsThe aim is to investigate incipient faults and develop online fault diagnosis/failure prognosis tools to establish early warning systems for future energy systems. The rapid and widespread deployment of energy storage devices raises significant reliability concerns, particularly for safety critical systems. Continuously monitoring these systems is essential to prevent unexpected shutdowns and tragic failures that could result in fatal accidents or significant loss in operations. Current diagnostic engineering tools are not mature enough to detect or identify failure precursors in real-time, leading to a major reliability gap in energy storage systems. In order to reliably move these technologies forward, this research program investigates numerous degradation processes of energy storage devices to develop novel online degradation monitoring tools and improve the overall reliability of energy systems. Developed tools will enable autonomous incipient fault diagnosis and health assessment for self-monitoring smart-energy systems.3. Broader impactsThe expertise and research results will benefit the broad transportation and energy sectors. However, considering the vast market of renewable energies, industrial benefits may go far beyond these sectors and spread to other fast-growing fields. The proposed research program will accelerate technology transfer from academic research to industrial sectors and the intellectual property will be the subject of patent applications for the IP-core, for example. International corporations such as ABB, Vestas, Senvion, Adelser, and so on, and Canadian companies such as, TM4, BRP, Gentec, NovaBus, Hewitt, and Opal-RT Technologies, and so on are primary consumers of the developed technologies.