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A continuum of physics-based lithium-ion battery models reviewed
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Brosa Planella, Ferran, Ai, Weilong, Boyce, Adam, Ghosh, Abir, Korotkin, Ivan, Sahu, Smita, Sulzer, Valentin, Timms, Robert, Tranter, Tom, Zyskin, Maxim, Cooper, Samuel, Edge, Jacqueline Sophie, Foster, Jamie Michael, Marinescu, Monica, Wu, Billy and Richardson, Giles (2022) A continuum of physics-based lithium-ion battery models reviewed. Progress in Energy, 4 (4). 042003. doi:10.1088/2516-1083/ac7d31 ISSN 2516-1083.
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Official URL: http://dx.doi.org/10.1088/2516-1083/ac7d31
Abstract
Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well as for improving their design and management. Different model fidelity, and thus model complexity, is needed for different applications. For example, in battery design we can afford longer computational times and the use of powerful computers, while for real-time battery control (e.g. in electric vehicles) we need to perform very fast calculations using simple devices. For this reason, simplified models that retain most of the features at a lower computational cost are widely used. Even though in the literature we often find these simplified models posed independently, leading to inconsistencies between models, they can actually be derived from more complicated models using a unified and systematic framework. In this review, we showcase this reductive framework, starting from a high-fidelity microscale model and reducing it all the way down to the Single Particle Model (SPM), deriving in the process other common models, such as the Doyle-Fuller-Newman (DFN) model. We also provide a critical discussion on the advantages and shortcomings of each of the models, which can aid model selection for a particular application. Finally, we provide an overview of possible extensions to the models, with a special focus on thermal models. Any of these extensions could be incorporated into the microscale model and the reductive framework re-applied to lead to a new generation of simplified, multi-physics models.
Item Type: | Journal Article | ||||||||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Lithium ion batteries , Lithium ion batteries -- Design and construction, Electric batteries -- Electrodes, Storage batteries | ||||||||||||||||||
Journal or Publication Title: | Progress in Energy | ||||||||||||||||||
Publisher: | IOP Publishing | ||||||||||||||||||
ISSN: | 2516-1083 | ||||||||||||||||||
Official Date: | October 2022 | ||||||||||||||||||
Dates: |
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Volume: | 4 | ||||||||||||||||||
Number: | 4 | ||||||||||||||||||
Article Number: | 042003 | ||||||||||||||||||
DOI: | 10.1088/2516-1083/ac7d31 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||
Copyright Holders: | © 2022 The Author(s). Published by IOP Publishing Ltd. | ||||||||||||||||||
Date of first compliant deposit: | 4 July 2022 | ||||||||||||||||||
Date of first compliant Open Access: | 4 July 2022 | ||||||||||||||||||
RIOXX Funder/Project Grant: |
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