The Application of Data-Driven Methods and Physics-Based Learning for Improving Battery Safety-Reference-Cited by-同舟云学术

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The Application of Data-Driven Methods and Physics-Based Learning for Improving Battery Safety

Published:2021-02 Issue:2 Volume:5 Page:316-329
ISSN:2542-4351
Container-title:Joule
language:en
Short-container-title:Joule

Author:

Finegan Donal P.,Zhu Juner,Feng Xuning,Keyser Matt,Ulmefors Marcus,Li Wei,Bazant Martin Z.,Cooper Samuel J.

Funder

National Natural Science Foundation of China

Faraday Institution

Young Elite Scientists Sponsorship Program by Tianjin

U.S. Department of Energy

Publisher

Elsevier BV

Subject

General Energy

Reference75 articles.

1. Engineering safety in machine learning. 2016 Information Theory and Applications Workshop;Varshney,2016

2. The concepts of risk and safety;Moller,2012

3. Lithium ion battery electrolyte degradation of field-tested electric vehicle battery cells – a comprehensive analytical study;Henschel;J. Power Sources,2020

4. Electrode degradation in lithium-ion batteries;Pender;ACS Nano,2020

5. Degradation of battery separators under charge–discharge cycles;Zhang;RSC Adv.,2017

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