Multiphysics modeling for safe batteries using LS-DYNA
Di Mauro, G. Guida, M. Olivares, Gerardo Gomez, L.M.
Di Mauro, G.
Guida, M.
Olivares, Gerardo
Gomez, L.M.
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Original Date
Digitization Date
Issue Date
2024-09-13
Type
Conference paper
Genre
Keywords
Airworthiness requirements,Batteries,Certification by analysis,Internal short circuit,Thermal runaway
Subjects (LCSH)
Citation
a
Abstract
Within the global push towards environmental sustainability, lithium-ion batteries are the dominant power source for various applications due to their high energy density. Therefore, aviation industry is increasingly investigating electrification as a potential solution to reduce emissions and combat climate change. However, widespread adoption is hindered by safety concerns arising from potential failure scenarios. A comprehensive understanding of these failure mechanisms is paramount for advancing lithium-ion battery safety and paving the way for a more sustainable aviation future. This paper presents a critical review of the current state of the art on lithium-ion battery failure mechanisms under diverse abuse conditions, encompassing thermal, electrical, and mechanical responses. It underscores the significance of multiphysics simulations, integrating structural, electrical, and thermal responses, in the design of inherently safer lithium-ion batteries. Furthermore, the paper focuses on Structural Batteries, a novel technology with the potential to revolutionize electric air transport. Structural Batteries offer a compelling solution by seamlessly integrating energy storage and load-bearing capabilities. This integration has the potential to alleviate the weight penalty associated with conventional battery packs in electric aircraft, thereby extending range and payload capacity. The paper analyzes the challenges and future directions for structural battery research. It emphasizes the pivotal role of advanced Finite Element Analysis simulations in modeling the behavior of structural batteries under abuse conditions. These simulations can be instrumental in predicting internal short circuit occurrence, a critical safety concern. By leveraging such predictive capabilities, the development of safer and more efficient structural batteries can be expedited, paving the way for a more sustainable future for electric aviation. © 2024, International Council of the Aeronautical Sciences. All rights reserved.
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Publisher
International Council of the Aeronautical Sciences
Journal
Book Title
Series
ICAS Proceedings 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024
9 September 2024 through 13 September 2024
321499
9 September 2024 through 13 September 2024
321499
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ISSN
10259090