PFI-TT: Rechargeable Battery Cell Testing with magnetic resonance imaging (MRI).

该PFI项目更广泛的影响/商业潜力是通过前所未有的诊断类型来推进电池技术的发展。电池是节能、能源效率和能源弹性计划的核心，因此直接有助于美国的健康和健康、竞争力和国防。参与该项目的参与者（博士后，研究生）将接受科学和创业方面的培训，这将为他们的下一个职业生涯步骤提供独特的准备。基于磁共振成像（MRI）的新工具将提供快速和非破坏性的方法来分类，评估和验证电池单元，从而为制造商和用户提供一种确定电池内部工作在整个电池寿命期间变化的方法。这种新的可能性将有助于节省成本，提高电池使用的安全性（例如在手机，汽车和飞机中），并利用电池技术进行下一代应用。拟议项目将开发一种概念验证方法，用于在仪器和实施的可扩展版本中进行新的电池诊断。 安全性和容量是先进电池的两个最重要的特性，但电池测试目前仅限于无法提供足够详细信息以正确评估设备正确运行的技术。本文开发的技术基于磁共振成像（MRI），速度快，完全无创，并且可以在电池充电或放电时进行。该提案旨在清除在小占地面积低场和低成本MRI仪器上实施该方法的技术障碍，这是迈向商业化的重要一步。此外，该技术将针对速度进行优化，在重复性和再现性方面进行调整，并将进行调整以提供特定的电池指纹，这些指纹可用于对电池进行分类。因此，将开发该技术的概念验证实施，该工作可能会导致工业合作伙伴关系，知识产权开发和技术衍生。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this PFI project are the development are to advance battery technology through an unprecedented type of diagnostic. Batteries are at the heart of energy saving, energy efficiency, and energy resilience initiatives, and thus directly contribute to health and wellness, competitiveness, and national defense of the US. The participants (postdocs, graduate students) working on this project will be trained in both science and entrepreneurship, which will provide them with a unique preparation for their next career steps. The new tool, based on magnetic resonance imaging (MRI), will provide fast and nondestructive means of classifying, assessing, and validating battery cells, and thus provide manufacturers and users a means of determining changes in the inside workings of cells throughout the battery life. This new possibility will help save costs, improve safety of battery usage (e.g. in cell phones, cars, and airplanes), and leverage battery technology for next-generation applications. The proposed project will develop a proof-of-concept methodology for a new diagnostic for batteries in a scalable version of the instrumentation and implementation. Safety and capacity are the two most important characteristics of advanced batteries, but battery testing is currently limited to techniques that do not provide sufficient detail to properly assess the correct operation of a device. The technique developed herein is based on magnetic resonance imaging (MRI), is fast, completely non-invasive and can be performed on batteries while they are being charged or discharged. This proposal aims to clear technological hurdles towards implementing the methodology on a small footprint low-field and low-cost MRI instrumentation, which is an important step towards commercialization. Furthermore, the technique will be optimized for speed, tuned with regard to repeatability and reproducibility and will be adjusted to provide specific battery fingerprints, which can be used to classify cells. As a result, a proof-of-concept implementation of the technology will be developed, and the work may result in industrial partnerships, intellectual property development, and technology spinout.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.