Toward Better and Smarter Batteries by Combining AI with Multisensory and Self‐Healing Approaches-Reference-Cited by-同舟云学术

Toward Better and Smarter Batteries by Combining AI with Multisensory and Self‐Healing Approaches

Published:2021-04-30 Issue:23 Volume:11 Page:2100362
ISSN:1614-6832
Container-title:Advanced Energy Materials
language:en
Short-container-title:Adv. Energy Mater.

Author:

Vegge Tejs¹^ORCID,Tarascon Jean‐Marie²³,Edström Kristina⁴

Affiliation:

1. Department of Energy Conversion and Storage Anker Engelunds Vej Building 301 Kgs Lyngby DK‐2800 Denmark

2. Chimie du Solide‐Energie, UMR 8260 Collège de France Paris 75231 France

3. Réseau sur le Stockage Electrochimique de l'Energie (RS2E) Paris 3459 France

4. Department of Chemistry Angstrom Laboratory Box 538 Uppsala 751 21 Sweden

Funder

Knut och Alice Wallenbergs Stiftelse

Novo Nordisk Fonden

H2020 Future and Emerging Technologies

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aenm.202100362

Reference127 articles.

1. Closed-loop optimization of fast-charging protocols for batteries with machine learning

2. A rechargeable zinc-air battery based on zinc peroxide chemistry

3. A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning

4. K.Edström R.Dominko M.Fichtner T.Otuszewski S.Perraud C.Punckt J.Tarascon T.Vegge W.Martin BATTERY 2030+. Inventing the Sustainable Batteries of the Future. Research Needs and Future Actions 2020.

Cited by 40 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. Enhancing lithium-ion battery monitoring: A critical review of diverse sensing approaches;eTransportation;2024-12

2. Innovative self-repairing binders tackling degradation and de-lithiation challenges: Structure, mechanism, high energy and durability;Materials Science and Engineering: R: Reports;2024-09

3. Lithium-ion battery digitalization: Combining physics-based models and machine learning;Renewable and Sustainable Energy Reviews;2024-08

4. Machine Learning‐Aided Design of Highly Conductive Anion Exchange Membranes for Fuel Cells and Water Electrolyzers;Advanced Materials;2024-07-29

5. Battery electronification: intracell actuation and thermal management;Nature Communications;2024-06-25