PFI:AIR - TT: Self-X Smart Battery

PFI:AIR - TT: Self-X 智能电池

• 批准号: 1414393
• 负责人: Wei Qiao
• 金额: $ 19.99万
• 依托单位: University of Nebraska-Lincoln
• 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: 2014-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1414393&HistoricalAwards=false
• 关键词: PFI; AIR; TT; Self; Smart

This PFI: AIR Technology Translation project focuses on translating an innovative self-X smart battery technology to fill the need for renewable energy, electric transportation and electric grid applications. Battery units are composed of individual cells connected together to provide the overall energy storage capacity of the battery. The self-X smart battery can automatically configure itself to self-balance from individual cell state variations, self-heal from failures of individual cells, and self-optimize to achieve optimal energy conversion efficiency. These features prolong battery operating time and lifespan while ensuring the overall safety of the system. An improved battery system is important because it will provide a cost-effective, highly efficient, flexible, reliable, scalable, and ubiquitously deployable energy storage solution to address national needs in the fields of renewable energy and transportation electrification. The project will result in a prototype of a self-X smart battery the uses a power electronics-based switching circuit to demonstrate self-balancing from cell state variations, self-healing from failures of cells, and self-optimization to achieve the optimal energy conversion efficiency through self-configuration of cell connections. As compared to the leading battery design and management technology, these features provide the advantages of improved energy conversion efficiency and reliability, longer operating time and lifespan, and reduced operation and maintenance costs.This project addresses the following limitations in existing solutions as it translates from research discovery toward commercial application: 1) the state-of-the-art switching circuit is separated from the battery pack without considering system integration and packaging issues; 2) the state-of-the-art individual power switch in the switching circuit has limited condition monitoring and control functions and needs an appropriate electrical insulation and grounding design for real-world applications; 3) the state-of-the-art online state of charge estimation method is an open-loop method subject to problems of wrong initial state of charge and accumulating estimation errors; and 4) the state-of-the-art solution does not offer an efficient online state of health estimation method. These limitations will be addressed in this project by designing 1) a power electronics-based switching circuit as an integrated part of the metal connector grid of the battery cells/modules in a battery pack; 2) a low-cost, high-efficiency power switch with integrated condition monitoring and control functions, an optocoupling-based electrical insulation, and a proper grounding design; 3) an closed-loop online state of charge estimation algorithm; and 4) a maximum capacity degradation estimation-based online state of charge estimation algorithm. In addition, the graduate students involved in this project will receive technology translation experiences through the development of the self-X smart battery prototype.

这个PFI：空气技术翻译项目专注于翻译一种创新的Self-X智能电池技术，以满足可再生能源、电力交通和电网应用的需求。电池单元由连接在一起的单个电池组成，以提供电池的总储能容量。Self-X智能电池可以自动配置为在单个电池状态变化时进行自我平衡，在单个电池出现故障时进行自我修复，并进行自我优化以实现最佳的能量转换效率。这些功能延长了电池的运行时间和寿命，同时确保了系统的整体安全。改进的电池系统非常重要，因为它将提供具有成本效益、高效、灵活、可靠、可扩展和普遍部署的储能解决方案，以满足各国在可再生能源和交通电气化领域的需求。该项目将产生一款Self-X智能电池的原型，该电池使用基于电力电子的开关电路来演示从电池状态变化中进行自我平衡，从电池故障中进行自我修复，以及通过自我配置电池连接来实现最佳能量转换效率的自我优化。与领先的电池设计和管理技术相比，这些特点具有提高能量转换效率和可靠性、延长运行时间和寿命以及降低运营和维护成本的优势。本项目解决了现有解决方案从研究发现转化为商业应用时的以下局限性：1)最先进的开关电路与电池组分离，不考虑系统集成和封装问题；2)开关电路中最先进的单个电源开关具有有限的状态监测和控制功能，需要适当的电气绝缘和接地设计来满足实际应用；3)最新的在线电荷状态估计方法是开环方法，存在错误的初始电荷状态和累积估计误差的问题；以及4)最新的解决方案没有提供有效的在线健康状态估计方法。本项目将通过设计1)基于电力电子的开关电路作为电池组中电池单元/模块的金属连接器栅格的集成部分来解决这些限制；2)低成本、高效率的电源开关，具有集成的状态监测和控制功能、基于光耦合的电绝缘和适当的接地设计；3)闭环在线电荷状态估计算法；以及4)基于最大容量退化估计的在线电荷状态估计算法。此外，参与该项目的研究生将通过Self-X智能电池原型的开发获得技术翻译经验。