PFI:AIR - TT: High-Density Power Electronics for Large-Scale Distributed Battery Management with Real-Time Diagnostics

PFI:AIR - TT：用于大规模分布式电池管理和实时诊断的高密度电力电子器件

• 批准号: 1542984
• 负责人: Jason Stauth
• 金额: $ 20万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1542984&HistoricalAwards=false
• 关键词: PFI; AIR; TT; Density; Power

This PFI: AIR Technology Translation project focuses on translating research results in power management and diagnostic capabilities for large-scale distributed electrochemical systems, such as those needed in electrified transportation or energy storage for the electrical grid, to commercial use. This project is important because it addresses some of the fundamental limitations of current battery systems that ultimately impact energy-density (e.g. the driving range of hybrid or electric vehicles). It also provides new insight into failure modes in order to mitigate or correct them early in the life-cycle of the system. This could have a broader significance for a variety of automotive, military, and electrical utility applications while reducing barriers to low-carbon energy storage. The project will result in a proof-of-concept prototype of a reliable, low-cost and efficient battery management system. This active battery management system will have the following unique features: it will utilize an integrated circuit design of a resonant DC-DC converter to achieve high efficiency and high power-density, it will enable efficient, granular management of individual cells or groups of cells in a large battery array, and it will implement diagnostic capabilities based on electrochemical impedance spectroscopy in an embedded system controller. These features provide advantages of lower cost, smaller size, higher efficiency, and greatly expanded visibility into real-time electrochemical phenomena when compared to the leading competing battery management architectures in this market space. This project addresses the following technology gaps as it translates from research discovery toward commercial application: the lack of high-density and suitably cost effective power electronics for use in active battery management systems, knowledge gaps in the control and regulation of large arrays of series-connected cells, and technology gaps that exist between diagnostic capabilities and power management in electrochemical systems. The first gap will be bridged by designing a high-density resonant switched-capacitor DC-DC converter, implemented in a mm-scale integrated circuit (IC) that has variable regulation capability. The second gap will be bridged by designing embedded control algorithms for large arrays of series-connected cells, using multiple-input, multiple-output control algorithms explored in previous research. The final gap is bridged by designing algorithms that can run on a system-level embedded controller to implement online electrochemical impedance spectroscopy on top of the power management platform. In addition, personnel involved in this project, the PI and a graduate student, will receive innovation and entrepreneurship mentoring through affiliation with the Innovation PhD program at Dartmouth, which includes both coursework and experiential business education and through discussions with industry connections in the electric transportation sector. The Co-PI on this project is the Director of the Innovation PhD program and will provide additional mentoring and support specific to this project.

该 PFI：AIR 技术翻译项目专注于将大规模分布式电化学系统（例如电气化运输或电网储能所需的系统）的电源管理和诊断能力方面的研究成果转化为商业用途。 该项目很重要，因为它解决了当前电池系统的一些基本限制，这些限制最终影响能量密度（例如混合动力或电动汽车的行驶里程）。 它还提供了对故障模式的新见解，以便在系统生命周期的早期减轻或纠正它们。 这对于各种汽车、军事和电力应用具有更广泛的意义，同时减少低碳能源存储的障碍。 该项目将产生可靠、低成本和高效电池管理系统的概念验证原型。 该主动电池管理系统将具有以下独特功能：它将利用谐振DC-DC转换器的集成电路设计来实现高效率和高功率密度，它将实现对单个电池或电池组的高效、精细管理在大型电池阵列中，它将在嵌入式系统控制器中实现基于电化学阻抗谱的诊断功能。 与该市场领域领先的竞争电池管理架构相比，这些功能具有成本更低、尺寸更小、效率更高以及大大扩展了实时电化学现象可见性等优势。该项目解决了从研究发现到商业应用的以下技术差距：缺乏用于主动电池管理系统的高密度且具有适当成本效益的电力电子设备，在大型串联电池阵列的控制和调节方面的知识差距连接的电池，以及电化学系统中诊断能力和电源管理之间存在的技术差距。 第一个差距将通过设计高密度谐振开关电容器 DC-DC 转换器来弥补，该转换器在具有可变调节能力的毫米级集成电路 (IC) 中实现。第二个差距将通过使用先前研究中探索的多输入、多输出控制算法为大型串联电池阵列设计嵌入式控制算法来弥补。 最后一个差距是通过设计可以在系统级嵌入式控制器上运行的算法来弥补的，以在电源管理平台之上实现在线电化学阻抗谱。 此外，参与该项目的人员（PI 和研究生）将通过加入达特茅斯创新博士项目获得创新和创业指导，其中包括课程作业和体验式商业教育，并通过与电动交通领域的行业联系进行讨论部门。该项目的联合首席研究员是创新博士项目的主任，并将针对该项目提供额外的指导和支持。