Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries

Fast adoption of lithium-ion batteries (LIBs) for electric vehicles requires an effective LIB recycling process to recover the valuable battery components and alleviate the concerns over the disposal of hazardous waste. The retrieval efficiency of cathode materials in direct recycling of end-of-life...

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Detalles Bibliográficos
Autores principales: Li, Liurui, Yang, Tairan, Li, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036732/
https://www.ncbi.nlm.nih.gov/pubmed/35479029
http://dx.doi.org/10.1039/d1ra04086c
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author Li, Liurui
Yang, Tairan
Li, Zheng
author_facet Li, Liurui
Yang, Tairan
Li, Zheng
author_sort Li, Liurui
collection PubMed
description Fast adoption of lithium-ion batteries (LIBs) for electric vehicles requires an effective LIB recycling process to recover the valuable battery components and alleviate the concerns over the disposal of hazardous waste. The retrieval efficiency of cathode materials in direct recycling of end-of-life (EOL) lithium-ion batteries is systematically studied using the Taguchi Design of Experiment (DoE) method for the first time. A mathematical regression model is also developed to predict the yield and guide the parameter selection.
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spelling pubmed-90367322022-04-26 Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries Li, Liurui Yang, Tairan Li, Zheng RSC Adv Chemistry Fast adoption of lithium-ion batteries (LIBs) for electric vehicles requires an effective LIB recycling process to recover the valuable battery components and alleviate the concerns over the disposal of hazardous waste. The retrieval efficiency of cathode materials in direct recycling of end-of-life (EOL) lithium-ion batteries is systematically studied using the Taguchi Design of Experiment (DoE) method for the first time. A mathematical regression model is also developed to predict the yield and guide the parameter selection. The Royal Society of Chemistry 2021-07-09 /pmc/articles/PMC9036732/ /pubmed/35479029 http://dx.doi.org/10.1039/d1ra04086c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Li, Liurui
Yang, Tairan
Li, Zheng
Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
title Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
title_full Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
title_fullStr Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
title_full_unstemmed Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
title_short Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
title_sort parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036732/
https://www.ncbi.nlm.nih.gov/pubmed/35479029
http://dx.doi.org/10.1039/d1ra04086c
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AT yangtairan parameteroptimizationandyieldpredictionofcathodecoatingseparationprocessfordirectrecyclingofendoflifelithiumionbatteries
AT lizheng parameteroptimizationandyieldpredictionofcathodecoatingseparationprocessfordirectrecyclingofendoflifelithiumionbatteries

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