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A generic battery-cycling optimization framework with learned sampling and early stopping strategies
Battery optimization is challenging due to the huge cost and time required to evaluate different configurations in experiments or simulations. Optimizing the cycling performance is especially costly since battery cycling is extremely time consuming. Here, we introduce an optimization framework build...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278511/ https://www.ncbi.nlm.nih.gov/pubmed/35845833 http://dx.doi.org/10.1016/j.patter.2022.100531 |