Comparing Mass-Preserving Numerical Methods for the Lithium-Ion Battery Single Particle Model
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910644245102592 |
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| author | Lucero, Joseph N. E. Xu, Le Onori, Simona |
| author_facet | Lucero, Joseph N. E. Xu, Le Onori, Simona |
| contents | The single particle model (SPM) is a reduced electrochemical model that holds promise for applications in battery management systems due to its ability to accurately capture battery dynamics; however, the numerical discretization of the SPM requires careful consideration to ensure numerical stability and accuracy. In this paper, we present a comparative study of two mass-preserving numerical schemes for the SPM: the finite volume method and the control volume method. Using numerical simulations, we systematically evaluate the performance of these schemes, after independently calibrating the SPM discretized with each scheme to experimental data, and find a tradeoff between accuracy (quantified by voltage root-mean-square error) and computational time. Our findings provide insights into the selection of numerical schemes for the SPM, contributing to the advancement of battery modeling and simulation techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_08187 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Comparing Mass-Preserving Numerical Methods for the Lithium-Ion Battery Single Particle Model Lucero, Joseph N. E. Xu, Le Onori, Simona Systems and Control The single particle model (SPM) is a reduced electrochemical model that holds promise for applications in battery management systems due to its ability to accurately capture battery dynamics; however, the numerical discretization of the SPM requires careful consideration to ensure numerical stability and accuracy. In this paper, we present a comparative study of two mass-preserving numerical schemes for the SPM: the finite volume method and the control volume method. Using numerical simulations, we systematically evaluate the performance of these schemes, after independently calibrating the SPM discretized with each scheme to experimental data, and find a tradeoff between accuracy (quantified by voltage root-mean-square error) and computational time. Our findings provide insights into the selection of numerical schemes for the SPM, contributing to the advancement of battery modeling and simulation techniques. |
| title | Comparing Mass-Preserving Numerical Methods for the Lithium-Ion Battery Single Particle Model |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2410.08187 |