A gradient screening approach for retired lithium-ion batteries based on X-ray computed tomography images-Reference-Cited by-同舟云学术

A gradient screening approach for retired lithium-ion batteries based on X-ray computed tomography images

Published:2020 Issue:32 Volume:10 Page:19117-19123
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Ran Aihua¹²³⁴⁵,Chen Shuxiao¹²³⁴⁵,Zhang Siwei¹²³⁴⁵,Liu Siyang¹²³⁴⁵,Zhou Zihao¹²³⁴⁵,Nie Pengbo¹²³⁴⁵,Qian Kun¹²³⁴⁵,Fang Lu¹²³⁴⁵,Zhao Shi-Xi⁵²³⁴^ORCID,Li Baohua⁵²³⁴^ORCID,Kang Feiyu¹²³⁴⁵,Zhou Xiang⁶⁷⁸⁹⁴,Sun Hongbin¹⁰²¹¹⁴,Zhang Xuan¹²³⁴⁵,Wei Guodan¹²³⁴⁵^ORCID

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute (TBSI)

2. Tsinghua University

3. Shenzhen

4. China

5. Tsinghua Shenzhen International Graduate School

6. School of Data Science

7. Department of Mathematics

8. City University of Hong Kong

9. Kowloon

10. Department of Electrical Engineering

11. Beijing

Abstract

Accurate and efficient screening of retired lithium-ion batteries from electric vehicles is crucial to guarantee reliable secondary applications such as in energy storage, electric bicycles, and smart grids.

Funder

Development and Reform Commission of Shenzhen Municipality

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/RA/D0RA03602A

Reference31 articles.

1. Unraveling the effect of succinonitrile additive on cycling performance in cylindrical lithium-ion battery

2. Recycling lithium-ion batteries from electric vehicles

3. Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries