RII Track-4:NSF: Enable Next-Generation Solid-State Batteries via Dynamic Modeling and Control: Theory and Experiments

该项目旨在通过促进对新兴固态电池（SSB）的理解来推进储能系统的最新技术，以通过动态建模，控制和实验来实现更高的安全性和性能。目前的锂离子电池（LIB）在过度充电、热偏移和机械滥用期间表现出严重的安全漏洞和故障倾向。与此同时，航空、长途卡车和电动汽车等电力关键行业的电气化也推动了对电池性能极限的追求，使其达到更高的能量密度。由于固态电解质替代了LIB中使用的液体电解质，SSB可以显著提高能量和功率能力。该项目的成功是释放SSB全部潜力的关键一步，以实现增强的热稳定性，增加的能量密度和更快的充电能力。可靠的SSB的开发可以大大提高电化学能量存储系统的能量和功率能力，同时降低成本，从而使电气化交通更快地传播，并加速向美国环境可持续经济的过渡。这一研究基础设施改善轨道-4个EPSCoR研究员项目将为橡树岭国家实验室的一名助理教授提供研究金，并为一名研究生提供培训。该项目设想了一个变革性的方案，融合了电池材料特性和动态控制的优势，并通过三项科学贡献加以强调。首先，一个整体的多物理场模型，使调查的功能连接在不同的长度和时间尺度的SSB系统。除了提供设计指导外，多物理场模型还为最佳控制提供了丰富的信息，这些信息可以安全地引导系统轨迹，同时仍然提供关键的性能指标。其次，这些多物理模型，但是，偏微分方程（PDE），其中非线性，参数不确定性和安全约束提出了艰巨的控制理论的挑战。这项研究将推进非线性控制理论的不确定性和非线性抛物型偏微分方程系统，以揭示完整的电化学电位的SSB，并将作为一种工具，可以执行安全约束意识控制。第三，将进行全面的实验验证，包括硬件在环实验和事后材料表征。我们的目标是揭示多物理场模型为基础的控制提高能源密集型SSB的安全性和性能的程度。这一奋进的关键是与ORNL的密切合作，ORNL为高维多物理场建模提供先进的计算技术，并提供最先进的电池材料表征设施，以使用广泛的电子显微镜发现SSB降解模式。该项目将培育多种新技术，每种技术都可以体现出自给自足的研究方向，对未来的储能创新产生巨大影响。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。

This project aims to advance the state-of-the-art in energy storage systems by promoting the understanding of emerging solid-state battery (SSB) to realize improved safety and performance via dynamic modeling, control, and experiments. Current Lithium-ion battery (LIB) has exhibited serious safety vulnerabilities and propensity to failure during overcharging, thermal excursions, and mechanical abuses. Meanwhile, electrification of power-critical sectors such as aviation, long-haul trucks, and electric vehicles also promote a quest for pushing the battery performance envelope towards even higher energy density. The SSB can produce significant improvements in energy and power capability thanks to the replacement of the liquid electrolyte used in LIB by a solid-state counterpart. The success of this project constitutes crucial steps forward to unleash the full potentials of SSB to achieve enhanced thermal stability, increased energy density, and faster charging capability. The development of reliable SSB can substantially enhance the energy and power capability of electrochemical energy storage systems while reducing costs, thus enables a faster dissemination of electrified transportation and accelerates the transition towards an environmentally sustainable economy in the United States.This Research Infrastructure Improvement Track-4 EPSCoR Research Fellows project would provide a fellowship to an Assistant Professor and training for a graduate student at Oak Ridge National Laboratory. The project envisions a transformative scheme that fuses the benefits of battery material properties and dynamic control, highlighted by three scientific contributions. First, a holistic multiphysics model that enables investigations of functional connections across different length and time scales in SSB systems. Besides providing design guidance, multiphysics models offer rich information for optimal control that safely steers the system trajectory while still delivering on key performance metrics. Second, these multiphysical models, however, are governed by partial differential equations (PDEs) in which nonlinearity, parametric uncertainty, and safety constraints present formidable control-theoretic challenges. This research will advance nonlinear control theory of uncertain and nonlinear parabolic PDE systems to reveal the full electrochemical potentials of SSB and will serve as a tool with which one can perform safety-constraint-aware control. Third, a comprehensive experimental validation will be conducted, including hardware-in-the-loop experiments and post-mortem material characterization. The objective is to uncover the extent to which the multiphysics model-based control improves the safety and performance of energy-dense SSB. The key to this endeavor is a close collaboration with ORNL who provides advanced computational technologies for high-dimensional multiphysics modeling and the state-of-the-art battery material characterization facilities to discover SSB degradation patterns using a broad range of electron microscopies. Multiple new techniques will be cultivated within this project - each can manifest self-sufficient research directions with tremendous impact on future energy storage innovations.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.