Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components-Reference-Cited by-同舟云学术

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Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components

Published:2018-10 Issue: Volume:228 Page:633-644
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ren Dongsheng^ORCID,Liu Xiang,Feng Xuning^ORCID,Lu Languang,Ouyang Minggao,Li Jianqiu,He Xiangming^ORCID

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference59 articles.

1. Progress of Chinese electric vehicles industrialization in 2015: a review;Du;Appl Energy,2017

2. A review on the key issues for lithium-ion battery management in electric vehicles;Lu;J Power Sources,2013

3. Recent progresses on nickel-rich layered oxide positive electrode materials used in lithium-ion batteries for electric vehicles;Ding;Appl Energy,2017

4. Perspectives of automotive battery R&D in China, Germany, Japan, and the USA;Bresser;J Power Sources,2018

5. A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery;Ouyang;Appl Energy,2016

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