Making a Case for Battery Modeling

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Making a Case for Battery Modeling
Title:
Making a Case for Battery Modeling
Other Titles:
The Electrochemical Society Interface
Publication Date:
01 December 2020
Citation:
David A. Howey et al 2020 Electrochem. Soc. Interface 29 30
Abstract:
Mathematical modeling to understand battery performance has a history of more than 50 years. The essence of modeling is to make predictions, as is the case across all scientific disciplines; indeed, we can think of models as hypotheses or theories to be tested against experimental data. Models allow us to interpolate between and extrapolate from points in data; without them, a new experiment would need to be run for every use case of a battery. However, the characteristics of battery models vary widely depending on the applications of interest, from quantum chemical calculations of material properties, through continuum performance models, and to techno-economic analysis of markets. This breadth can be confusing, and despite the apparent success and a sizable modeling community, we feel there remains skepticism in some quarters about the utility of battery modeling; the near-term benefits are not always clear to those working to build better cells and packs on the ground. In this short article, we discuss the history, impact, and frontiers of battery modeling, aiming to demonstrate the significance and benefit that state-of-the-art approaches bring to battery development.
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PublisherCopyrights
Funding Info:
This research is supported by Institute for Infocomm Research, A*STAR. Grant number is not applicable.
Description:
Open access to the paper is available at: https://doi.org/10.1149/2.F03204IF
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