LOUIS University of Alabama in Huntsville
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The impact of electrode design on lithium-ion battery fast charging
Get PDFThe growing demand for lithium-ion batteries in electric vehicles, grid storage, and consumer electronics drives the need for advancements in energy density and power capability. Achieving higher energy density requires improved electrode architectures to enhance ionic transport while minimizing polarization and resistive losses. Although increasing electrode thickness can boost energy density, it also introduces transport limitations and raises the risk of lithium plating. A promising solution to this challenge is the integration of electrolyte channels within multi-layer electrodes, which can enhance lithium-ion mobility, particularly under high-rate cycling conditions. This study explores potential improvements to conventional lithium-ion cells that enable high energy density while supporting fast charging and high C-rate operation. A 2D lithium-ion battery model is employed to investigate the effects of thick electrodes under different C-rates in a single-cell stack. Five distinct cell configurations are analyzed, each featuring a multi-layer electrode architecture with electrolyte channels positioned in the anode and/or cathode at varying thicknesses. Simulations were conducted using cathodes with thicknesses of 150 µm and 200 µm, discharged at C/10 and C/2, followed by charging at C/2, 1C, 2C, 3C, and 5C. Additionally, the impact of rest periods on cell capacity and lithium plating was examined. The results demonstrate that the multi-layer electrode architecture, combined with strategically integrated electrolyte channels, significantly enhances overall battery performance by improving ionic transport, reducing polarization, and mitigating lithium plating, ultimately leading to higher capacity retention. A dimensionless parameter analysis was performed to compare battery performance across different electrode modifications and C-rates. The scaling behavior derived from these parameters provides valuable insights into the benefits and trade-offs of various electrode design strategies, offering a pathway for optimizing next-generation lithium-ion batteries
Development of a Butterfly Inspired Micro Aerial Vehicle
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Process Improvement through Standardization and Layout Design
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Toward measurable explainable ethical AI: an LLM-driven data analytics study
No full textLarge Language Models (LLMs) have been a hot area for popular and research audiences. Users marvel subjectively at Artificial Intelligence (AI) outputs — so much that OpenAI delayed public release of Generative Pre-trained Transformer 2 (GPT-2) back in 2019, citing ``safety and security concerns.\u27\u27 This research advances ethical and transparent AI through qualitative and quantitative measures between user intent and LLM responses in a way that aims to assist users with clear indications of good and poor alignment and of where to backtrack to minimize bias and hallucinations. The use case is recommending grant topics in a United States Department of Defense Small Business Innovation Research solicitation that match academic or industrial research teams\u27 natural-language capability descriptions
Sylvanian Families and Cultural Storytelling: A Cross-Cultural Analysis of Toys as Educators
No full textSylvanian Families toys serve as cultural educators, reflecting and reinforcing societal values through culturally specific playsets in the UK and Japan.https://louis.uah.edu/honors-399/1028/thumbnail.jp