I-Corps: Distributed Energy Management Systems for Grid Integration of Distributed Energy Storage Devices

I-Corps：用于分布式储能设备并网的分布式能源管理系统

• 批准号: 1445846
• 负责人: Wencong Su
• 金额: $ 5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1445846&HistoricalAwards=false
• 关键词: Corps; Distributed; Energy; Management; Systems

Safety hazards resulting from distributed energy storage devices (e.g., lithium ion battery) failures range from reduced performance to operational impairment. Therefore, fault diagnostics is a very important function of distributed energy storage management systems such as battery management systems. Real time diagnostics of the failure and early warning of these faults can mitigate potential catastrophic events in electric vehicles, community energy storage devices as well as grid-scale energy storage systems. This team has developed a technology for the differentiated diagnosis and early detection of battery faults, including internal and external short circuit faults, over charge, over discharge, and over temperature. The differentiated diagnostic algorithms can be further implemented in the future generation of distributed energy management systems for real time fault diagnosis and prevention. With rapidly evolving technologies of electric vehicles, consumer electronics (e.g., cell phones, computers), aircraft and aviation, the battery has emerged as the most prominent energy storage device. It is important to improve the performance of the battery management system to make the battery a safe, reliable, and cost efficient solution. The developed technology, when successfully commercialized, will provide intelligent, fast monitoring, estimation, and management for distributed energy storage devices at a cost acceptable to the market place; help prevent catastrophic events; and translate the legacy Centralized management for a cluster of distributed energy storage devices to a completely distributed architecture by only exchanging local information with neighbors.

分布式储能设备(如锂离子电池)故障导致的安全风险从性能降低到操作损害。因此，故障诊断是分布式储能管理系统的一个非常重要的功能，如电池管理系统。对这些故障的实时诊断和预警可以缓解电动汽车、社区储能设备以及电网规模储能系统中潜在的灾难性事件。该团队开发了一项技术，用于区分诊断和早期检测电池故障，包括内部和外部短路故障、过充电、过放电和过热。这些差异化诊断算法可以在下一代分布式能源管理系统中进一步实现，以实现实时故障诊断和预防。随着电动汽车、消费电子(如手机、计算机)、飞机和航空等技术的快速发展，电池已成为最重要的储能设备。提高电池管理系统的性能，使电池成为安全、可靠、经济高效的解决方案，这一点非常重要。开发的技术在成功商业化后，将以市场可以接受的成本为分布式储能设备提供智能、快速的监测、评估和管理；有助于防止灾难性事件；并通过仅与邻居交换本地信息，将传统的分布式储能设备集群的集中管理转变为完全分布式的体系结构。