Collaborative Research: An Integrated Multiscale Reduced-Order Modeling and Experimental Framework for Lithium-ion Batteries under Mechanical Abuse Conditions

协作研究：机械滥用条件下锂离子电池的集成多尺度降阶建模和实验框架

• 批准号: 2114823
• 负责人: Yanyu Chen
• 金额: $ 29.58万
• 依托单位: University of Louisville Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114823&HistoricalAwards=false
• 关键词: Collaborative; Research; Integrated; Multiscale; Reduced

This grant will focus on developing an integrated computational modeling and experimental framework for simulating lithium-ion batteries (LIBs) under mechanical abuse conditions, such as impact loading. LIBs are the most used power source for electric vehicles, which leads to an ever-increasing need to improve the safety of LIBs so that they can be used in mechanical abuse conditions. To improve the safety design and ultimately reliability of advanced long life and high energy LIBs, a recent trend is to use numerical simulations as an alternative to expensive and time-consuming real-world testing for LIB response prediction under mechanical abuse conditions. However, due to the multiscale nature of LIBs and the nonlinear response of LIB components, it is computationally expensive to directly model the LIBs by accounting for the complex microstructures and nonlinear responses of different LIB components. To address this issue, the PIs plan to develop a multiscale modeling framework that better balances accuracy and efficiency for LIB modeling. The characterization and testing of LIB components at different loading conditions are also planned, which will facilitate the model development and eventually validate the computational framework. The research will also be complemented by establishing a responsive and flexible educational and outreach program based on curriculum development and summer research programs for undergraduate and high-school students with an engineering focus, as well as K-12 and underrepresented minority outreach through STEM education centers at both participating institutes.The objective of this project is to develop an integrated multiscale reduced-order modeling and experimental framework for LIBs under mechanical abuse conditions by integrating physics­-based constitutive models for LIB components with a multiscale reduced order modeling technique. To achieve this goal, the research encompasses the following three aims and plans: 1) Determine the constitutive models of battery components with full coverage of low, intermediate, and high strain rates; 2) Develop a multiscale reduced-order computational model to predict the response of LIB cells by advancing the eigendeformation-based reduced ­order homogenization model (EHM); 3) Conduct dynamic testing of battery cells to validate the developed multiscale models and exercise the validated model for LIB design and safety evaluation. The multiscale modeling framework will achieve reakthroughs in designing optimal LIB systems, which will expand the conventional boundaries of LIB performance. This project will allow the PIs to advance their current computational modeling and experimental testing expertise for LIB modeling and design, which could potentially accelerate the discovery, innovation, and certification of state-of-the-art battery technologies, and establish their long-term career in modeling and testing of complex material systems and structures.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.

该基金将重点开发一个集成的计算建模和实验框架，用于模拟机械滥用条件下的锂离子电池（lib），如冲击载荷。lib是电动汽车使用最多的电源，这导致对提高lib安全性的需求不断增加，以便它们可以在机械滥用条件下使用。为了提高先进的长寿命高能LIB的安全设计和最终可靠性，最近的一个趋势是使用数值模拟来替代昂贵且耗时的实际测试，以预测LIB在机械滥用条件下的响应。然而，由于LIB的多尺度特性和组件的非线性响应，考虑不同LIB组件的复杂微观结构和非线性响应，直接对LIB进行建模的计算成本很高。为了解决这个问题，pi计划开发一个多尺度建模框架，以更好地平衡LIB建模的准确性和效率。还计划对LIB组件在不同负载条件下的表征和测试，这将促进模型的开发并最终验证计算框架。该研究还将通过建立一个响应迅速、灵活的教育和外展项目来补充，该项目基于课程开发和暑期研究项目，针对以工程为重点的本科生和高中生，以及通过两个参与机构的STEM教育中心进行的K-12和代表性不足的少数民族外展。该项目的目标是通过将LIB组件的基于物理的本构模型与多尺度降阶建模技术相结合，为机械滥用条件下的LIB开发一个集成的多尺度降阶建模和实验框架。为了实现这一目标，本研究包括以下三个目标和计划：1)确定低、中、高应变率全覆盖的电池部件本构模型；2)通过推进基于特征信息的降阶均匀化模型（EHM），建立多尺度降阶计算模型来预测LIB细胞的响应；3)对电芯进行动态测试，验证所开发的多尺度模型，并将验证模型用于LIB设计和安全性评估。多尺度建模框架将在设计最优LIB系统方面取得突破，这将扩展LIB性能的传统边界。该项目将使pi能够提高他们目前在LIB建模和设计方面的计算建模和实验测试专业知识，这可能会加速最先进电池技术的发现、创新和认证，并建立他们在复杂材料系统和结构的建模和测试方面的长期职业生涯。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

Greek Key Inspired Fractal Metamaterials with Superior Stretchability for Tunable Wave Propagation

• DOI: 10.1002/admt.202300981
• 发表时间: 2023-11-01
• 期刊: ADVANCED MATERIALS TECHNOLOGIES
• 影响因子: 6.8
• 作者: Zhang，Zhennan;Jiang，Huan;Chen，Yanyu
• 通讯作者: Chen，Yanyu

Elastically anisotropic architected metamaterials with enhanced energy absorption

• DOI: 10.1016/j.tws.2023.111115
• 发表时间: 2023-11
• 期刊: Thin-Walled Structures
• 影响因子: 6.4
• 作者: Huan Jiang;B. Bednarcyk;Louise Le Barbenchon;Yanyu Chen

Exploring the Design Space of the Effective Thermal Conductivity, Permeability, and Stiffness of High-Porosity Foams

• DOI: 10.1016/j.matdes.2023.112027
• 发表时间: 2023-05
• 期刊: Materials & Design
• 作者: Silven Stallard;Huan Jiang;Yanyu Chen;T. Bergman;Xianglin Li