Random Forest-Based Grouping for Accurate SOH Estimation in Second-Life Batteries

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Random Forest-Based Grouping for Accurate SOH Estimation in Second-Life Batteries

Format

supplierxml

Authors

Joelton Deonei Gotz

José Rodolfo Galvão

Fernanda Cristina Corrêa

Alceu André Badin

Hugo Valadares Siqueira

Emilson Ribeiro Viana

Attilio Converti

Dataset

Dataset

Random Forest-Based Grouping for Accurate SOH Estimation in Second-Life Batteries

(MDPI AG, 2024) Joelton Deonei Gotz; José Rodolfo Galvão; Fernanda Cristina Corrêa; Alceu André Badin; Hugo Valadares Siqueira; Emilson Ribeiro Viana; Attilio Converti; Milton Borsato

URI

https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/34616

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