Model-Driven Manufacturing of High-Energy-Density Batteries: A Review

Simple item page
Author(s)Maksimovna Vakhrusheva, Daria
Author(s)Xu, Jun
Date Accessioned2025-01-07T20:03:32Z
Date Available2025-01-07T20:03:32Z
Publication Date2024-10-09
DescriptionThis is the peer reviewed version of the following article: Maksimovna Vakhrusheva, Daria, and Jun Xu. “Model‐Driven Manufacturing of High‐Energy‐Density Batteries: A Review.” Batteries & Supercaps, November 11, 2024, e202400539. https://doi.org/10.1002/batt.202400539, which has been published in final form at https://doi.org/10.1002/batt.202400539. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. © 2024 Wiley-VCH GmbH. This article will be embargoed until 11/11/2025.
AbstractGraphical Abstract This review offers a comprehensive review of recent advancements in model-driven manufacturing approaches for high-energy-density batteries. It highlights the integration of computational models with experimental manufacturing processes to optimize battery performance, reliability, and cost-effectiveness. Additionally, the review addresses the challenges associated with scaling up these model-driven approaches, focusing on critical issues such as model validation, parameter sensitivity, and the incorporation of artificial intelligence. Graphical Abstract available at: https://doi.org/10.1002/batt.202400539 Abstract The rapid advancement in energy storage technologies, particularly high-energy density batteries, is pivotal for diverse applications ranging from portable electronics to electric vehicles and grid storage. This review paper provides a comprehensive analysis of the recent progress in model-driven manufacturing approaches for high-energy-density batteries, highlighting the integration of computational models and simulations with experimental manufacturing processes to optimize performance, reliability, safety, and cost-effectiveness. We systematically examine various modeling techniques, including electrochemical, thermal, and mechanical models, and their roles in elucidating the complex interplay of materials, design, and manufacturing parameters. The review also discusses the challenges and opportunities in scaling up these model-driven approaches, addressing key issues such as model validation, parameter sensitivity, and the integration of machine learning and artificial intelligence for predictive modeling, process optimization, and quality assurance. By synthesizing current research findings and industry practices, this paper aims to outline a roadmap for future developments in model-driven manufacturing of high-energy density batteries, emphasizing the need for interdisciplinary collaboration and innovation to meet the increasing demands for energy storage solutions.
SponsorJX was supported by the Startup Funding from the University of Delaware.
CitationMaksimovna Vakhrusheva, Daria, and Jun Xu. “Model‐Driven Manufacturing of High‐Energy‐Density Batteries: A Review.” Batteries & Supercaps, November 11, 2024, e202400539. https://doi.org/10.1002/batt.202400539.
ISSN2566-6223
URLhttps://udspace.udel.edu/handle/19716/35698
Languageen_US
PublisherBatteries & Supercaps
Keywordsbattery manufacturing
Keywordsmodel-driven manufacturing
Keywordshigh energy density
Keywordsprocess optimization
Keywordsquality assurance
Keywordsaffordable and clean energy
Keywordsindustry, innovation and infrastructure
TitleModel-Driven Manufacturing of High-Energy-Density Batteries: A Review
TypeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Model-driven Manufacturing of High-Energy-Density Batteries.pdf
Size:
4.08 MB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.22 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Access Publications - Department of Mechanical Engineering
Open Access Publications - Sustainability at UD