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

这个PFI: AIR技术翻译项目的重点是将大型分布式电化学系统（如电气化运输或电网储能系统）的电源管理和诊断能力的研究成果转化为商业用途。这个项目很重要，因为它解决了当前电池系统的一些基本限制，这些限制最终会影响能量密度（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。这可能对各种汽车、军事和电力公用事业应用具有更广泛的意义，同时减少低碳能源存储的障碍。该项目将产生一个可靠、低成本和高效的电池管理系统的概念验证原型。这种有源电池管理系统将具有以下独特的特点：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，它将实现大型电池阵列中单个电池或电池组的高效，精细管理，并且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。与市场上领先的电池管理架构相比，这些功能具有成本更低、体积更小、效率更高的优势，并且大大扩展了对实时电化学现象的可见性。该项目解决了从研究发现到商业应用的以下技术差距：缺乏用于有源电池管理系统的高密度和合适的成本效益的电力电子设备，大型串联电池阵列的控制和调节方面的知识差距，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。第一个缺口将通过设计一个高密度谐振开关电容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，为串联单元的大型阵列设计嵌入式控制算法来弥补。最后，通过设计可在系统级嵌入式控制器上运行的算法，在电源管理平台上实现在线电化学阻抗谱，弥合了最后的差距。此外，参与该项目的人员，PI和一名研究生，将通过与达特茅斯创新博士项目的联系获得创新和创业指导，该项目包括课程作业和体验式商业教育，以及通过与电力运输部门的行业联系进行讨论。该项目的共同负责人是创新博士项目的主任，将为该项目提供额外的指导和支持。

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.