Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies-Reference-Cited by-同舟云学术

Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies

Published:2019-11-22 Issue:1 Volume:3 Page:60-67
ISSN:2566-6223
Container-title:Batteries & Supercaps
language:en
Short-container-title:Batteries & Supercaps

Author:

Cunha Ricardo Pinto¹²,Lombardo Teo¹²,Primo Emiliano N.¹²,Franco Alejandro A.¹²³⁴^ORCID

Affiliation:

1. Laboratoire de Réactivité et Chimie des Solides (LRCS), UMR CNRS 7314 Université de Picardie Jules Verne, Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex France

2. Réseau sur le Stockage Electrochimique de l'Energie (RS2E), FR CNRS 3459 Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex France

3. ALISTORE-European Research Institute, FR CNRS 3104 Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex France

4. Institut Universitaire de France 103 Boulevard Saint Michel 75005 Paris France

Funder

European Research Council

Publisher

Wiley

Subject

Electrochemistry,Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/batt.201900135

Reference34 articles.

1. Towards greener and more sustainable batteries for electrical energy storage

2. Before Li Ion Batteries

3. Prospects for reducing the processing cost of lithium ion batteries

4. Tracking variabilities in the simulation of Lithium Ion Battery electrode fabrication and its impact on electrochemical performance

Cited by 110 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empowering lithium-ion battery manufacturing with big data: Current status, challenges, and future;Journal of Power Sources;2024-12

2. Explainable Neural Network for Sensitivity Analysis of Lithium-Ion Battery Smart Production;IEEE/CAA Journal of Automatica Sinica;2024-09

3. Machine learning for full lifecycle management of lithium-ion batteries;Renewable and Sustainable Energy Reviews;2024-09

4. Machine learning-accelerated discovery and design of electrode materials and electrolytes for lithium ion batteries;Energy Storage Materials;2024-09

5. Energy consumption of lithium-ion pouch cell manufacturing plants;Journal of Cleaner Production;2024-08