diff --git a/joss/paper.bib b/joss/paper.bib index 211e8309..c93dca6f 100644 --- a/joss/paper.bib +++ b/joss/paper.bib @@ -51,12 +51,65 @@ @ARTICLE{SciPy:2020 } @misc{BPX:2023, - title = {Battery Parameter eXchange}, - author = {Korotkin, Ivan and Timms, Robert and Foster, Jamie Foster and - Dickinson, Edmund and Robinson, Martin}, - publisher = {The Faraday Institution}, - year = {2023}, - journal = {GitHub repository}, - url = {https://github.com/FaradayInstitution/BPX}, + title = {Battery Parameter eXchange}, + author = {Korotkin, Ivan and Timms, Robert and Foster, Jamie Foster and + Dickinson, Edmund and Robinson, Martin}, + publisher = {The Faraday Institution}, + year = {2023}, + journal = {GitHub repository}, + url = {https://github.com/FaradayInstitution/BPX}, } +@article{Doyle:1993, + author = {Doyle, Marc and Fuller, Thomas F. and Newman, John}, + doi = {10.1149/1.2221597}, + issn = {0013-4651}, + journal = {Journal of The Electrochemical Society}, + number = {6}, + pages = {1526--1533}, + title = {{Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell}}, + volume = {140}, + year = {1993} +} + +@article{Fuller:1994, + doi = {10.1149/1.2054684}, + url = {https://dx.doi.org/10.1149/1.2054684}, + year = {1994}, + month = {jan}, + publisher = {The Electrochemical Society, Inc.}, + volume = {141}, + number = {1}, + pages = {1}, + author = {Thomas F. Fuller and Marc Doyle and John Newman}, + title = {Simulation and Optimization of the Dual Lithium Ion Insertion Cell}, + journal = {Journal of The Electrochemical Society}, +} + +@article{Planella:2022, + author = {Planella, Ferran Brosa and Ai, Weilong and Boyce, Adam M and Ghosh, Abir and Korotkin, Ivan and Sahu, Smita and Sulzer, Valentin and Timms, Robert and Tranter, Thomas G and Zyskin, Maxim and Cooper, Samuel J and Edge, Jacqueline S and Foster, Jamie M and Marinescu, Monica and Wu, Billy and Richardson, Giles}, + doi = {10.1088/2516-1083/ac7d31}, + issn = {2516-1083}, + journal = {Progress in Energy}, + month = {oct}, + number = {4}, + pages = {042003}, + title = {{A Continuum of Physics-Based Lithium-Ion Battery Models Reviewed}}, + url = {https://iopscience.iop.org/article/10.1088/2516-1083/ac7d31}, + volume = {4}, + year = {2022} +} + +@article{Verbrugge:2017, + doi = {10.1149/2.0341708jes}, + url = {https://dx.doi.org/10.1149/2.0341708jes}, + year = {2017}, + month = {may}, + publisher = {The Electrochemical Society}, + volume = {164}, + number = {11}, + pages = {E3243}, + author = {Mark Verbrugge and Daniel Baker and Brian Koch and Xingcheng Xiao and Wentian Gu}, + title = {Thermodynamic Model for Substitutional Materials: Application to Lithiated Graphite, Spinel Manganese Oxide, Iron Phosphate, and Layered Nickel-Manganese-Cobalt Oxide}, + journal = {Journal of The Electrochemical Society}, +} diff --git a/joss/paper.md b/joss/paper.md index f72bba6c..946ec140 100644 --- a/joss/paper.md +++ b/joss/paper.md @@ -72,13 +72,22 @@ In general, battery models can be written in the form of a differential-algebrai \frac{\mathrm{d} \mathbf{x}}{\mathrm{d} t} = f(t,\mathbf{x},\mathbf{y},\mathbf{u}(t),\mathbf{\theta}) \end{equation} \begin{equation} -\mathbf{y}(t) = g(t,\mathbf{x},\mathbf{y},\mathbf{u}(t),\theta) +\mathbf{y}(t) = g(t,\mathbf{x},\mathbf{y},\mathbf{u}(t),\mathbf{\theta}) \end{equation} -Here, $t$ is time, $x(t)$ are the (discretised) states, $y(t)$ are the outputs (for example the -terminal voltage), $u(t)$ are the inputs (for example the applied current) and $\theta$ are the +Here, $t$ is time, $\mathbf{x}(t)$ are the (discretised) states, $\mathbf{y}(t)$ are the outputs (for example the +terminal voltage), $\mathbf{u}(t)$ are the inputs (e.g. the applied current) and $\mathbf{\theta}$ are the parameters. +Common battery models include various types of equivalent circuit model (e.g. the Thévenin model), +the Doyle–Fuller–Newman (DFN) model [@Doyle:1993; @Fuller:1994] based on porous electrode theory and its reduced-order +variants including the single particle model (SPM) [@Planella:2022], as well as the multi-scale, multi-reaction +(MSMR) model [@Verbrugge:2017]. + +Simplified models that retain good prediction capabilities at a lower computational cost are widely used, for +example within battery management systems, while physics-based models are required to understand the impact of +design parameters on battery performance. + # Examples ## Parameterisation