Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity-Reference-Cited by-同舟云学术

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Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity

Published:2021-09 Issue: Volume:5 Page:100090
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Duquesnoy Marc,Boyano Iker,Ganborena Larraitz,Cereijo Pablo,Ayerbe Elixabete,Franco Alejandro A.

Funder

Horizon 2020 Framework Programme

Horizon 2020

European Research Council

Institut Universitaire de France

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference50 articles.

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3. Prospects for reducing the processing cost of lithium ion batteries.;Wood;J Power Sources,2015

4. An effective mixing for lithium ion battery slurries.;Liu;Adv Chem Eng Sci,2014

5. Quality control tool of electrode coating for lithium-ion batteries based on x-ray radiography.;Etiemble;J Power Sources,2015

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