Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery-Reference-Cited by-同舟云学术

Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery

Published:2021-03-24 Issue:18 Volume:11 Page:2003868
ISSN:1614-6832
Container-title:Advanced Energy Materials
language:en
Short-container-title:Adv. Energy Mater.

Author:

Jia Yikai¹²,Li Jiani¹²,Yuan Chunhao¹²,Gao Xiang¹²,Yao Weiran³,Lee Minwoo⁴,Xu Jun¹²^ORCID

Affiliation:

1. Department of Mechanical Engineering and Engineering Science The University of North Carolina at Charlotte Charlotte NC 28223 USA

2. Vehicle Energy & Safety Laboratory (VESL) North Carolina Motorsports and Automotive Research Center The University of North Carolina at Charlotte Charlotte NC 28223 USA

3. Department of Civil and Environmental Engineering Carnegie Mellon University Pittsburgh PA 15289 USA

4. Department of Computer Science The University of North Carolina at Charlotte Charlotte NC 28223 USA

Funder

U.S. Department of Energy

Office of Energy Efficiency and Renewable Energy

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aenm.202003868

Reference57 articles.

1. A reflection on lithium-ion battery cathode chemistry

2. Recent advances of thermal safety of lithium ion battery for energy storage

3. Li-ion Battery Separators, Mechanical Integrity and Failure Mechanisms Leading to Soft and Hard Internal Shorts

4. Simulation and experimental study on lithium ion battery short circuit

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