Online Diagnosis and Lifetime Prognosis of Next Generation Energy Storage Systems

下一代储能系统的在线诊断和寿命预测

• 批准号: RGPIN-2018-05299
• 负责人: Chaoui, Hicham
• 金额: $ 4.08万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752588
• 关键词: Online; Diagnosis; Lifetime; Prognosis; Next

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.

1。透视级别已成为我们日常操作的必要性，由于维护良好的电网通常更能抵抗失败，因此无法避免的后果可能会导致不良后果。因此，该研究计划的目的是开发故障储能技术。建立先进的可靠性框架将导致新的科学工具，从而加快其在电网整合和电动运输领域的部署。为此，两个下一代储能设备的日历老化是开发新的故障诊断和故障预后工具的仪器密钥。一旦确定了这些故障预测因子，就可以开发出高级方法，以最大程度地减少这些成分的寿命扩展的老化前体。开发的技术将为自我监控的智能能量存储系统提供基础，该系统可以在早期识别失败前体，从而有助于防止灾难性的失败。2。知识分子优胜目标是调查初期故障并开发在线故障诊断/失败预后工具，以建立未来能源系统的预警系统。储能设备的快速而广泛的部署引起了重大的可靠性问题，尤其是对于安全关键系统。不断监视这些系统对于防止意外关闭和悲剧性失败至关重要，这可能导致致命事故或行动造成重大损失。当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体，从而导致储能系统的主要可靠性差距。为了可靠地推动这些技术向前发展，该研究计划研究了储能设备的众多退化过程，以开发新颖的在线退化监控工具并提高能源系统的整体可靠性。开发的工具将使自主性故障诊断和健康评估能够进行自我监控智能能源系统。3。更广泛的影响专业知识和研究结果将使广泛的运输和能源部门受益。但是，考虑到庞大的可再生能源市场，工业福利可能远远超出了这些领域，并传播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到工业领域的技术转移，例如，知识产权将成为IP核心专利申请的主题。 ABB，Vestas，Senvion，Adelser等国际公司以及加拿大公司，例如TM4，BRP，Gentec，Novabus，Hewitt和Opal-RT Technologies，等等是已发达技术的主要消费者。